Kamel Didan

Interests

Teaching

Remote sensing and Earth-observation methodsGeospatial and spatial-data analyticsBig data processing and analysisPrecision observation and land-surface monitoring with mobile and UAV/drone platforms

Research

I develop remote-sensing algorithms and time-series tools to support ecosystem monitoring, natural-resource management, and studies of climate and land-use change. I also lead UAV/drone initiatives for precision agriculture, environmental mapping, and validation of satellite data.A key hallmark of my career is serving as the PI of the NASA MODIS and VIIRS VI algorithms and product suite, widely used for global vegetation, land cover, and resources monitoring.

Courses

Scholarly Contributions

Books

• Bickel, A. K., Duval, D. F., Frisvold, G. B., Cuello, J. L., Didan, K., Farrell-Poe, K. L., Giacomelli, G. A., Li, H., & Kacira, M. (2023). The Bioeconomy & Circular Economy in Southern Arizona. https://www.mapazdashboard.arizona.edu/bioeconomy-circular-economy-southern-arizona: University of Arizona.

Chapters

• Didan, K. (2011). MODIS vegetation indices' in Ramachandran. In Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS(pp 579-602). Springer-Verlag, New York.
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  Huete, A., Didan, K. & Van Leeuwen, W. 2011, 'MODIS vegetation indices' in Ramachandran, B., Justice, C.O., and Abrams, M. (eds), Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS, Springer-Verlag, New York, pp. 579-602
• Huete, A., Didan, K., Leeuwen, W., Miura, T., & Glenn, E. (2010). MODIS vegetation indices. In Land remote sensing and global environmental change(pp 579--602). Springer New York.
• Huete, A., Huete, A., Didan, K., Didan, K., Leeuwen, W., Leeuwen, W., Miura, T., Miura, T., Glenn, E. d., & Glenn, E. d. (2010). MODIS vegetation indices. In Land remote sensing and global environmental change(pp 579--602). Springer, New York, NY.
• Didan, K. (2008). Assessment of phenologic variability in Amazon tropical rainforests using hyperspectral and MODIS satellite data. In Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests(p. 320). CRC Press.

Journals/Publications

• Dorsett, C. K., Slack, D. C., Nichols, M. H., & Didan, K. (2025). A hydrologic engineering analysis of a failed rangeland water control structure on the Buenos Aires national wildlife refuge. Brazilian Journal of Animal and Environmental Research, 8(1), e77646--e77646.
• Jimenez-Hernandez, E., Nagler, P. L., Barreto-munoz, A., Duberstein, J., & Didan, K. (2025). Long-Term Ecohydrological Trends in the US-Mexico Borderlands: Vegetation and Water Use in Arid Biomes. AGU25.
• Nagler, P. L., Jimenez-Hernandez, E., Barreto-munoz, A., Duberstein, J., & Didan, K. (2025). Dryland Plant Community Water Use based on Vegetation Phenology in the Sonoran and Mojave Deserts. AGU25.
• Nagler, P. L., Jimenez-Hernandez, E., Sall, I., Barreto-Mu\~noz, A., & Didan, K. (2025). Compilation of actual evapotranspiration and vegetation indices along critical riparian zones on the Navajo Nation from 2013-2023. US Geological Survey (USGS) Data Release, 136.
• Nagler, P. L., Sall, I., G\'omez-Sapiens, M. M., Flessa, K. W., Barreto-Mu\~noz, A., & Didan, K. (2025). Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico. Restoration Ecology, 33(1), e14226.
• Nagler, P. L., Sall, I., Gómez-Sapiens, M. M., Flessa, K. W., Barreto-Muñoz, A., & Didan, K. (2025). Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico. Restoration Ecology, 33(Issue 1). doi:10.1111/rec.14226
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  Along Mexico's arid Colorado River Delta, the riparian corridor lacks water due to a reduction in frequent flows, climate change, human infrastructure, and altered riparian landcover from disturbances to invasive species, fire, and high soil and water salinities, which have led to declines in riparian plant health in recent decades. Restoration efforts focusing on small plots have successfully revitalized habitat, which is the motivation for this research. Accurate estimations of water use by riparian vegetation are crucial in arid environments, where measuring actual evapotranspiration (ETa) poses a significant challenge in these narrow corridors. This study utilizes field-validated remote sensing techniques to quantify ETa at restoration sites. Our methods are twofold; we use the Landsat-8 two-band Enhanced Vegetation Index (EVI2) to monitor changes in vegetation greenness—a proxy of plant health—and we integrate EVI2 with potential evapotranspiration (ET) to calculate ETa. Our findings reveal a notable increase in vegetation greenness within the restoration sites over 9 years, with an average increase of 41.3%. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study also indicates a 22.1% increase in ETa in the restored areas, compared to a 30.8% reduction in the unrestored regions. Restored sites in reach 4 experienced ETa increases ranging from 9.2 to 12.2%, whereas their unrestored counterparts show a decline of 21.4%. Valuable estimates are provided of riparian greenness and water use that may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.
• Luo, W., Scott, B., Cadogan, J., Combs, T. P., Swann, D. E., Didan, K., & Li, H. (2024). Saguaro Recognition from Drone Imagery Using Mask R-CNN in Detectron2.
• Nagler, P. L., Sall, I., G\'omez-Sapiens, M. M., Flessa, K. W., Barreto-Mu\~noz, A., & Didan, K. (2024). Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico. Restoration Ecology, e14226.
• Nagler, P. L., Sall, I., Gomez-Sapiens, M., Barreto-Mu\~noz, A., Jarchow, C. J., Flessa, K., & Didan, K. (2024). Greenness and Actual Evapotranspiration in the Unrestored Riparian Corridor of the Colorado River Delta in Response to In-Channel Water Deliveries in 2021 and 2022. Remote Sensing, 16(10), 1801.
• Nagler, P. L., Sall, I., Gomez-Sapiens, M., Barreto-Muñoz, A., Jarchow, C. J., Flessa, K., & Didan, K. (2024). Greenness and Actual Evapotranspiration in the Unrestored Riparian Corridor of the Colorado River Delta in Response to In-Channel Water Deliveries in 2021 and 2022. Remote Sensing, 16(Issue 10). doi:10.3390/rs16101801
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  Natural resource managers may utilize remotely sensed data to monitor vegetation within their decision-making frameworks for improving habitats. Under binational agreements between the United States and Mexico, seven reaches were targeted for riparian habitat enhancement. Monitoring was carried out using Landsat 8 16-day intervals of the two-band enhanced vegetation index 2 (EVI2) for greenness and actual evapotranspiration (ETa). In-channel water was delivered in 2021 and 2022 at four places in Reach 4. Three reaches (Reaches 4, 5 and 7) showed no discernable difference in EVI2 from reaches that did not receive in-channel water (Reaches 1, 2, 3 and 6). EVI2 in 2021 was higher than 2020 in all reaches except Reach 3, and EVI2 in 2022 was lower than 2021 in all reaches except Reach 7. ET(EVI2) was higher in 2020 than in 2021 and 2022 in all seven reaches; it was highest in Reach 4 (containing restoration sites) in all years. Excluding restoration sites, compared with 2020, unrestored reaches showed that EVI2 minimally increased in 2021 and 2022, while ET(EVI2) minimally decreased despite added water in 2021–2022. Difference maps comparing 2020 (no-flow year) to 2021 and 2022 (in-channel flows) reveal areas in Reaches 5 and 7 where the in-channel flows increased greenness and ET(EVI2).
• Abbasi, N., Nouri, H., Didan, K., Barreto-Mu\~noz, A., Chavoshi, B. S., Opp, C., Nagler, P., Thenkabail, P. S., & Siebert, S. (2023). Mapping vegetation index-derived actual evapotranspiration across croplands using the Google Earth Engine platform. Remote Sensing, 15(4), 1017.
• Abbasi, N., Nouri, H., Didan, K., Barreto-Muñoz, A., Chavoshi Borujeni, S., Opp, C., Nagler, P., Thenkabail, P. S., & Siebert, S. (2023). Mapping Vegetation Index-Derived Actual Evapotranspiration across Croplands Using the Google Earth Engine Platform. Remote Sensing, 15(Issue 4). doi:10.3390/rs15041017
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  Precise knowledge of crop water consumption is essential to better manage agricultural water use, particularly in regions where most countries struggle with increasing water and food insecurity. Approaches such as cloud computing and remote sensing (RS) have facilitated access, process, and visualization of big geospatial data to map and monitor crop water requirements. To find the most reliable Vegetation Index (VI)-based evapotranspiration (ETa) for croplands in drylands, we modeled and mapped ETa using empirical RS methods across the Zayandehrud river basin in Iran for two decades (2000–2019) on the Google Earth Engine platform using the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index 2 (EVI2). Developed ET-VI products in this study comprise three NDVI-based ETa (ET-NDVI*, ET-NDVI*scaled, and ET-NDVIKc) and an EVI2-based ETa (ET-EVI2). We (a) applied, for the first time, the ET-NDVI* method to croplands as a crop-independent index and then compared its performance with the ET-EVI2 and crop ET, and (b) assessed the ease and feasibility of the transferability of these methods to other regions. Comparing four ET-VI products showed that annual ET-EVI2 and ET-NDVI*scaled estimations were close. ET-NDVIKc consistently overestimated ETa. Our findings indicate that ET-EVI2 and ET-NDVIKc were easy to parametrize and adopt to other regions, while ET-NDVI* and ET-NDVI*scaled are site-dependent and sensitive to image acquisition time. ET-EVI2 performed robustly in arid and semi-arid regions making it a better tool. Future research should further develop and confirm these findings by characterizing the accuracy of VI-based ETa over croplands in drylands by comparing them with available ETa products and examining their performance using crop-specific comparisons.
• Abbasi, N., Nouri, H., Nagler, P., Didan, K., Chavoshi Borujeni, S., Barreto-Muñoz, A., Opp, C., & Siebert, S. (2023). Crop water use dynamics over arid and semi-arid croplands in the lower Colorado River Basin. European Journal of Remote Sensing, 56(Issue 1). doi:10.1080/22797254.2023.2259244
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  Numerous studies have evaluated the application of Remote Sensing (RS) techniques for mapping actual evapotranspiration (ETa) using Vegetation-Index-based (VI-based) and surface energy balance methods (SEB). SEB models computationally require a large effort for application. VI-based methods are fast and easy to apply and could therefore potentially be applied at high resolution; however, the accuracy of VI-based methods in comparison to SEB-based models remains unclear. We tested the ETa computed with the modified 2-band Enhanced Vegetation Index (METEVI2) implemented in the Google Earth Engine–for mapping croplands’ water use dynamics in the Lower Colorado River Basin. We compared METEVI2 with the well-established RS-based products of OpenET (Ensemble, eeMETRIC, SSEBop, SIMS, PT_JPL, DisALEXI and geeSEBAL). METEVI2 was then evaluated with measured ETa from four wheat fields (2017–2018). Results indicated that the monthly ETa variations for METEVI2 and OpenET models were comparable, though of varying magnitudes. On average, METEVI2 had the lowest difference rate from the average observed ETa with 17 mm underestimation, while SIMS had the highest difference rate (82 mm). Findings show that METEVI2 is a cost-effective ETa mapping tool in drylands to track crop water use. Future studies should test METEVI2’s applicability to croplands in more humid regions.
• Abbasi, N., Nouri, H., Nagler, P., Didan, K., Chavoshi, B. S., Barreto-Mu\~noz, A., Opp, C., & Siebert, S. (2023). Crop water use dynamics over arid and semi-arid croplands in the lower Colorado River Basin. European Journal of Remote Sensing, 56(1), 2259244.
• Didan, K. (2022). Effect of Restoration on Plant Greenness and Water Use in Relation to Drought in the Riparian Corridor of the Colorado River Delta.. AWRA Journal of the American Water Resources Association, 58(5), 38. doi:https://doi.org/10.1111/1752-1688.13036
• Didan, K. (2022). Estimating Productivity Measures in Guayule Using UAS Imagery and Sentinel-2 Satellite Data. Remote Sensing, 14(12), 19. doi:https://doi.org/10.3390/rs14122867
• Didan, K., Jarchow, C. J., Combs, T. P., & Barreto-Mu\~noz, A. (2023). Award\# DE-LM0000479.
• El Vilaly, A. S., Didan, K., Barreto, A., Crimmins, M., & Marsh, S. (2017). Vegetation Productivity Responses to Drought Drivers in the Four Corners Region of the US Southwest. International Journal of Remote Sensing, 20.
• El Vilaly, M. A., Didan, K., Marsh, S. E., Van Leeuwen, W. J., Crimmins, M. A., & Barreto, A. (2016). Vegetation Productivity Responses to Drought on Tribal Lands in the Four Corners Region of the Southwest U.S.. Frontiers of Earth Science.
• Jarchow, C., Didan, K., Barreto, A., Glenn, E., & Nagler, P. (2017). Application and Comparison of the MODIS-Derived Enhanced Vegetation Index (EVI) to VIIRS, Landsat 5 TM, and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico. Sensors, 36.
• Jarchow, C., Didan, K., Waugh, J., Barreto-Muñoz, A., Nagler, P., & Herrmann, S. (2019). Vegetation Greenness, Evapotranspiration, and Groundwater Dynamics at a Former Uranium Mill Site: Implications for the Remediation of Contaminated Groundwater. Hydrological Processes, 20.
• Melichar, M., Didan, K., Barreto-Mu\~noz, A., Duberstein, J. N., Jim\'enez, H. E., Crimmins, T., Li, H., Traphagen, M., Thomas, K. A., & Nagler, P. L. (2023). Random forest classification of multitemporal Landsat 8 spectral data and phenology metrics for land cover mapping in the Sonoran and Mojave deserts. Remote Sensing, 15(5), 1266.
• Melichar, M., Didan, K., Barreto-Muñoz, A., Duberstein, J. N., Jiménez Hernández, E., Crimmins, T., Li, H., Traphagen, M., Thomas, K. A., & Nagler, P. L. (2023). Random Forest Classification of Multitemporal Landsat 8 Spectral Data and Phenology Metrics for Land Cover Mapping in the Sonoran and Mojave Deserts. Remote Sensing, 15(Issue 5). doi:10.3390/rs15051266
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  Geospatial data and tools evolve as new technologies are developed and landscape change occurs over time. As a result, these data may become outdated and inadequate for supporting critical habitat-related work across the international boundary in the Sonoran and Mojave Deserts Bird Conservation Region (BCR 33) due to the area’s complex vegetation communities and the discontinuity in data availability across the United States (US) and Mexico (MX) border. This research aimed to produce the first 30 m continuous land cover map of BCR 33 by prototyping new methods for desert vegetation classification using the Random Forest (RF) machine learning (ML) method. The developed RF classification model utilized multitemporal Landsat 8 Operational Land Imager spectral and vegetation index data from the period of 2013–2020, and phenology metrics tailored to capture the unique growing seasons of desert vegetation. Our RF model achieved an overall classification F-score of 0.80 and an overall accuracy of 91.68%. Our results portrayed the vegetation cover at a much finer resolution than existing land cover maps from the US and MX portions of the study area, allowing for the separation and identification of smaller habitat pockets, including riparian communities, which are critically important for desert wildlife and are often misclassified or nonexistent in current maps. This early prototyping effort serves as a proof of concept for the ML and data fusion methods that will be used to generate the final high-resolution land cover map of the entire BCR 33 region.
• Nagler, P. L., Barreto-Muñoz, A., Sall, I., Lurtz, M. R., & Didan, K. (2023). Riparian Plant Evapotranspiration and Consumptive Use for Selected Areas of the Little Colorado River Watershed on the Navajo Nation. Remote Sensing, 15(Issue 1). doi:10.3390/rs15010052
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  Estimates of riparian vegetation water use are important for hydromorphological assessment, partitioning within human and natural environments, and informing environmental policy decisions. The objectives of this study were to calculate the actual evapotranspiration (ETa) (mm/day and mm/year) and derive riparian vegetation annual consumptive use (CU) in acre-feet (AF) for select riparian areas of the Little Colorado River watershed within the Navajo Nation, in northeastern Arizona, USA. This was accomplished by first estimating the riparian land cover area for trees and shrubs using a 2019 summer scene from National Agricultural Imagery Program (NAIP) (1 m resolution), and then fusing the riparian delineation with Landsat-8 OLI (30-m) to estimate ETa for 2014–2020. We used indirect remote sensing methods based on gridded weather data, Daymet (1 km) and PRISM (4 km), and Landsat measurements of vegetation activity using the two-band Enhanced Vegetation Index (EVI2). Estimates of potential ET were calculated using Blaney-Criddle. Riparian ETa was quantified using the Nagler ET(EVI2) approach. Using both vector and raster estimates of tree, shrub, and total riparian area, we produced the first CU measurements for this region. Our best estimate of annual CU is 36,983 AF with a range between 31,648–41,585 AF and refines earlier projections of 25,387–46,397 AF.
• Nagler, P., Barreto, A., Chavoshi Borujeni, S., Jarchow, C., Nouri, H., Herrmann, S., Gómez-Sapiens, M., & Didan, K. (2019). Ecohydrological Response to an Environmental Pulse Flow Between Borders: The Lower Colorado River in the USA to the Delta in Mexico. Hydrological Processes, 25.
• Nouri, H., Barreto, A., Nagler, P., Chavoshi Borujeni, S., Didan, K., Alaghmand, S., Noori, B., & Galindo, A. (2019). Impact of Spatial Resolution of Satellite Images on Estimating Urban Green Spaces Evapotranspiration. Hydrological Processes, 22.
• Wang, X., Yan, D., Dannenberg, M., Jones, M., Kimball, J., Moore, D., Van Leeuwen, W., Didan, K., & Smith, W. (2019). Comparisons of global land surface phenology derived from vegetation greenness, optical depth, and solar-induced chlorophyll fluorescence. JGR- Biogeosciences, 31.
• Westra, S., Goldberg, M. S., & Didan, K. (2023). The association between the incidence of Lyme disease in the USA and indicators of greenness and land cover. Current Research in Parasitology \& Vector-borne Diseases, 4, 100132.
• Westra, S., Goldberg, M. S., & Didan, K. (2023). The association between the incidence of Lyme disease in the USA and indicators of greenness and land cover. Current Research in Parasitology and Vector-Borne Diseases, 4(Issue). doi:10.1016/j.crpvbd.2023.100132
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  Lyme disease (LD) is the most common vector-borne illness in the USA. Incidence is related to specific environmental conditions such as temperature, metrics of land cover, and vertebrate species diversity. To determine whether greenness, as measured by the Normalized Difference Vegetation Index (NDVI), and other selected indices of land cover were associated with the incidence of LD in the northeastern USA for the years 2000–2018, we conducted an ecological analysis of incidence rates of LD in counties of 15 “high” incidence states and the District of Columbia for 2000–2018. Annual counts of LD by county were obtained from the US Centers for Disease Control and values of NDVI were acquired from the Moderate Resolution Imaging Spectroradiometer instrument aboard Terra and Aqua Satellites. County-specific values of human population density, area of land and water were obtained from the US Census. Using quasi-Poisson regression, multivariable associations were estimated between the incidence of LD, NDVI, land cover variables, human population density, and calendar year. We found that LD incidence increased by 7.1% per year (95% confidence interval: 6.8–8.2%). Land cover variables showed complex non-linear associations with incidence: average county-specific NDVI showed a “u-shaped” association, the standard deviation of NDVI showed a monotonic upward relationship, population density showed a decreasing trend, areas of land and water showed “n-shaped” relationships. We found an interaction between average and standard deviation of NDVI, with the highest average NDVI category; increased standard deviation of NDVI showed the greatest increase in rates. These associations cannot be interpreted as causal but indicate that certain patterns of land cover may have the potential to increase exposure to infected ticks and thereby may contribute indirectly to increased rates of LD. Public health interventions could make use of these results in informing people where risks may be high.
• Westra, S., Goldberg, M. S., & Didan, K. (2023). The association between the incidence of Lyme disease in the USA and indicators of greenness and land cover. Current research in parasitology & vector-borne diseases, 4, 100132.
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  Lyme disease (LD) is the most common vector-borne illness in the USA. Incidence is related to specific environmental conditions such as temperature, metrics of land cover, and vertebrate species diversity. To determine whether greenness, as measured by the Normalized Difference Vegetation Index (NDVI), and other selected indices of land cover were associated with the incidence of LD in the northeastern USA for the years 2000-2018, we conducted an ecological analysis of incidence rates of LD in counties of 15 "high" incidence states and the District of Columbia for 2000-2018. Annual counts of LD by county were obtained from the US Centers for Disease Control and values of NDVI were acquired from the Moderate Resolution Imaging Spectroradiometer instrument aboard Terra and Aqua Satellites. County-specific values of human population density, area of land and water were obtained from the US Census. Using quasi-Poisson regression, multivariable associations were estimated between the incidence of LD, NDVI, land cover variables, human population density, and calendar year. We found that LD incidence increased by 7.1% per year (95% confidence interval: 6.8-8.2%). Land cover variables showed complex non-linear associations with incidence: average county-specific NDVI showed a "u-shaped" association, the standard deviation of NDVI showed a monotonic upward relationship, population density showed a decreasing trend, areas of land and water showed "n-shaped" relationships. We found an interaction between average and standard deviation of NDVI, with the highest average NDVI category; increased standard deviation of NDVI showed the greatest increase in rates. These associations cannot be interpreted as causal but indicate that certain patterns of land cover may have the potential to increase exposure to infected ticks and thereby may contribute indirectly to increased rates of LD. Public health interventions could make use of these results in informing people where risks may be high.
• Combs, T. P., Didan, K., Dierig, D., Jarchow, C. J., & Barreto-Mu\~noz, A. (2022). Estimating Productivity Measures in Guayule Using UAS Imagery and Sentinel-2 Satellite Data. Remote Sensing, 14(12), 2867.
• Combs, T. P., Didan, K., Dierig, D., Jarchow, C. J., & Barreto-Muñoz, A. (2022). Estimating Productivity Measures in Guayule Using UAS Imagery and Sentinel-2 Satellite Data. Remote Sensing, 14(Issue 12). doi:10.3390/rs14122867
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  Guayule (Parthenium argentatum Gray) is a perennial desert shrub currently under investigation as a viable commercial alternative to the Pará rubber tree (Hevea brasiliensis), the traditional source of natural rubber. Previous studies on guayule have shown a close association between morphological traits or biomass and rubber content. We collected multispectral and RGB-derived Struc-ture-from-motion (SfM) data using an unmanned aircraft system (UAS; drone) to determine if incorporating both high-resolution normalized difference vegetation index (NDVI; an indicator of plant health) and canopy height (CH) information could support model predictions of crop produc-tivity. Ground-truth resource allocation in guayule was measured at four elevations (i.e., tiers) along the crop’s vertical profile using both traditional biomass measurement techniques and a novel vol-umetric measurement technique. Multiple linear regression models estimating fresh weight (FW), dry weight (DW), fresh volume (FV), fresh-weight-density (FWD), and dry-weight-density (DWD) were developed and their performance compared. Of the crop productivity measures considered, a model predicting FWD (i.e., the fresh weight of plant material adjusted by its freshly harvested volume) and incorporating NDVI, CH, NDVI:CH interaction, and tier parameters reported the low-est mean absolute percentage error (MAPE) between field measurements and predictions, ranging from 9 to 13%. A reduced FWD model incorporating only NDVI and tier parameters was developed to explore the scalability of model predictions to medium spatial resolutions with Sentinel-2 satellite data. Across all UAS surveys and corresponding satellite imagery compared, MAPE between FWD model predictions for UAS and satellite data were below 3% irrespective of soil pixel influence.
• Didan, K. (2022). Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area. . Remote Sensing, 13(24), 24.
• Nagler, P. L., Barreto-Mu\~noz, A., Sall, I., Lurtz, M. R., & Didan, K. (2022). Riparian Plant Evapotranspiration and Consumptive Use for Selected Areas of the Little Colorado River Watershed on the Navajo Nation. Remote Sensing, 15(1), 52.
• Nagler, P. L., Barreto-Mu\~noz, A., Sall, I., Lurtz, M. R., & Didan, K. (2022). Riparian plant evapotranspiration and consumptive use for selected areas of the little Colorado river watershed on the Navajo Nation. Remote Sensing, 15(1), 52.
• Nagler, P., Sall, I., Barreto-Mu\~noz, A., G\'omez-Sapiens, M., Nouri, H., Chavoshi, B. S., & Didan, K. (2022). Effect of Restoration on Plant Greenness and Water Use in Relation to Drought in the Riparian Corridor of the Colorado River Delta. JAWRA Journal of the American Water Resources Association, 58(5), 746--784.
• Nagler, P., Sall, I., Barreto-Mu\~noz, A., G\'omez-Sapiens, M., Nouri, H., Chavoshi, B. S., & Didan, K. (2022). Effect of restoration on plant greenness and water use in relation to drought in the riparian corridor of the Colorado River delta. JAWRA Journal of the American Water Resources Association, 58(5), 746--784.
• Westra, S., Goldberg, M. S., & Didan, K. (2022). The association between the incidence of Lyme disease in the United States and indicators of greenness and land cover. medRxiv, 2022--06.
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• Abbasi, N., Nouri, H., Didan, K., Barreto-Mu\~noz, A., Chavoshi, B. S., Salemi, H., Opp, C., Siebert, S., & Nagler, P. (2021). Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area. Remote Sensing, 13(24), 5167.
• Abbasi, N., Nouri, H., Didan, K., Barreto-Mu\~noz, A., Chavoshi, B. S., Salemi, H., Opp, C., Siebert, S., & Nagler, P. (2021). Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area. Remote Sensing, 13(24), 5167.
• Abbasi, N., Nouri, H., Didan, K., Barreto-Muñoz, A., Borujeni, S. C., Salemi, H., Opp, C., Siebert, S., & Nagler, P. (2021). Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area. Remote Sensing, 13(Issue 24). doi:10.3390/rs13245167
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  Advances in estimating actual evapotranspiration (ETa) with remote sensing (RS) have contributed to improving hydrological, agricultural, and climatological studies. In this study, we evaluated the applicability of Vegetation-Index (VI)-based ETa (ET-VI) for mapping and monitoring drought in arid agricultural systems in a region where a lack of ground data hampers ETa work. To map ETa (2000–2019), ET-VIs were translated and localized using Landsat-derived 3-and 2-band Enhanced Vegetation Indices (EVI and EVI2) over croplands in the Zayandehrud River Basin (ZRB) in Iran. Since EVI and EVI2 were optimized for the MODerate Imaging Spectroradiometer (MODIS), using these VIs with Landsat sensors required a cross-sensor transformation to allow for their use in the ET-VI algorithm. The before-and after-impact of applying these empirical translation methods on the ETa estimations was examined. We also compared the effect of cropping patterns’ interannual change on the annual ETa rate using the maximum Normalized Difference Vegetation Index (NDVI) time series. The performance of the different ET-VIs products was then evaluated. Our results show that ETa estimates agreed well with each other and are all suitable to monitor ETa in the ZRB. Compared to ETc values, ETa estimations from MODIS-based continuity corrected Landsat-EVI (EVI2) (EVIMccL and EVI2MccL) performed slightly better across croplands than those of Landsat-EVI (EVI2) without transformation. The analysis of harvested areas and ET-VIs anomalies revealed a decline in the extent of cultivated areas and a loss of corresponding water resources downstream. The findings show the importance of continuity correction across sensors when using empirical algorithms designed and optimized for specific sensors. Our comprehensive ETa estimation of agricultural water use at 30 m spatial resolution provides an inexpensive monitoring tool for cropping areas and their water consumption.
• Barreto, A., Didan, K., & Yitayew, M. (2021). SYNOPTIC GLOBAL REMOTE SENSING OF LAND SURFACE VEGETATION: OVERVIEW OF DAILY DATA QUALITY, CHALLENGES, AND OPPORTUNITIES.
• Borujeni, S. C., Didan, K., Hoekstra, A. Y., Munoz, A. B., Nagler, P. L., & Nouri, H. (2021).

  Changes in the water footprint of urban green spaces over time

  . EGU General Assembly Conference Abstracts. doi:10.5194/egusphere-egu21-100
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  The concept of a sustainable green city based on Sustainable Development Goals (SDGs)–Goal 11 - sustainable cities and communities – may not be narrowed down to solely intensifying urban green spaces. Sustainability could include urban water management to alleviate possible conflict among “water‐saving” and “greening cities” strategies. Water consumption by urban greenery has a major role in urban water management, particularly in water-scarce regions where green covers are most affected by drought and aridity. More green and blue water resources are required to maintain and expand urban green spaces. Quantifying the water footprint of urban greenery helps to balance greening cities while water saving from both green and blue water resources. We employed remote sensing and artificial intelligence techniques to assess the water consumption and water footprint of a 780‐ha public green space, the Adelaide Parklands in Australia. We estimated the green and blue water footprint of this green space (containing 29 parks) during 2010-2018 on a monthly basis. Our results showed that the mean total water footprint of the Adelaide Parklands was about 7.75 gigaliter per annum over 2010-2018; it varied from 7.19 gigaliter/year in 2018 to 8.45 gigaliter/year in 2012. The blue water footprint was consistently higher than the green water footprint even in wet time of the year. We suggest implementing sponge city and water sensitive urban design (WSUD) techniques to help greening cities while reducing the water footprint of urban green spaces. These approaches have the potential to lessen the pressure on blue water resources and optimise the consumption of green water resources.
• Miura, T., Tsend-Ayush, J., & Didan, K. (2021). SPECTRAL COMPATIBILITY ANALYSIS OF THE ENHANCED VEGETATION INDEX FOR LONG-TERM CONTINUITY ACROSS AVHRR, MODIS, AND VIIRS.
• Nagler, P. L., Barreto-Mu\~noz, A., Borujeni, S. C., Nouri, H., Jarchow, C. J., & Didan, K. (2021). Riparian Area Changes in Greenness and Water Use on the Lower Colorado River in the USA from 2000 to 2020. Remote Sensing, 13(7), 1332.
• Nagler, P. L., Barreto-Mu\~noz, A., Chavoshi, B. S., Nouri, H., Jarchow, C. J., & Didan, K. (2021). Riparian area changes in greenness and water use on the lower Colorado river in the USA from 2000 to 2020. Remote Sensing, 13(7), 1332.
• Nagler, P. L., Barreto-Muñoz, A., Borujeni, S. C., Nouri, H., Jarchow, C. J., & Didan, K. (2021). Riparian area changes in greenness and water use on the lower Colorado river in the USA from 2000 to 2020. Remote Sensing, 13(Issue 7). doi:10.3390/rs13071332
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  Declines in riparian ecosystem greenness and water use have been observed in the delta of the Lower Colorado River (LCR) since 2000. The purpose of our case study was to measure these metrics on the U.S. side of the border between Hoover and Morelos Dams to see if declining greenness was unique to the portion of the river in Mexico. In this case study, five riparian reaches of the LCR from Hoover to Morelos Dam since 2000 were studied to evaluate trends in riparian ecosystem health. We measure these riparian woodlands using remotely sensed measurements of the two-band Enhanced Vegetation Index (EVI2; a proxy for greenness); daily evapotranspiration (ET; mmd-1) using EVI2 (ET(EVI2)); and an annualized ET based on EVI2, the Phenology Assessment Metric (PAM ET), an annualized ET using Landsat time-series. A key finding is that riparian health and its water use has been in decline since 2000 on the U.S. portion of the LCR, depicting a loss of green vegetation over the last two decades. EVI2 results show a decline of -13.83%, while average daily ET(EVI2) between the first and last decade had a decrease of over 1 mmd-1 (-27.30%) and the respective average PAM ET losses were 170.91 mmyr-1 (-17.95%). The difference between the first and last five-year periods, 2000-2005 and 2016-2020, showed the largest decrease in daily ET(EVI) of 1.24 mmd-1 (-32.61%). These declines come from a loss in healthy, green, riparian plant-cover, not a change in plant water use efficiency nor efficient use of managed water resources. Our results suggest further deterioration of biodiversity, wildlife habitat and other key ecosystem services on the U.S. portion of the LCR.
• Herrmann, S., Didan, K., Jarchow, C. J., Waugh, W. J., Barreto‐Muñoz, A., & Nagler, P. L. (2020). Vegetation‐groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data. Hydrological Processes, 34(12), 2739-2749. doi:10.1002/hyp.13772
• Jarchow, C. J., Waugh, W. J., Didan, K., Barreto-Mu\~noz, A., Herrmann, S., & Nagler, P. L. (2020). Vegetation-groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data. Hydrological Processes, 34(12), 2739--2749.
• Nagler, P. L., Barreto-Mu\~noz, A., Chavoshi, B. S., Jarchow, C. J., G\'omez-Sapiens, M. M., Nouri, H., Herrmann, S. M., & Didan, K. (2020). Ecohydrological responses to surface flow across borders: Two decades of changes in vegetation greenness and water use in the riparian corridor of the Colorado River delta. Hydrological Processes, 34(25), 4851--4883.
• Nagler, P. L., Barreto-Muñoz, A., Chavoshi Borujeni, S., Jarchow, C. J., Gómez-Sapiens, M. M., Nouri, H., Herrmann, S. M., & Didan, K. (2020). Ecohydrological responses to surface flow across borders: Two decades of changes in vegetation greenness and water use in the riparian corridor of the Colorado River delta. Hydrological Processes, 34(Issue 25). doi:10.1002/hyp.13911
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  Hydrological and bioclimatic processes that lead to drought may stress plants and wildlife, restructure plant community type and architecture, increase monotypic stands and bare soils, facilitate the invasion of non-native plant species and accelerate soil erosion. Our study focuses on the impact of a paucity of Colorado River surface flows from the United States (U.S.) to Mexico. We measured change in riparian plant greenness and water use over the past two decades using remotely sensed measurements of vegetation index (VI), evapotranspiration (ET) and a new annualized phenology assessment metric (PAM) for ET. We measure these long-term (2000–2019) metrics and their short-term (2014–2019) response to an environmental pulse flow in 2014, as prescribed under Minute 319 of the 1944 Water Treaty between the two nations. In subsequent years, small-directed flows were provided to restoration areas under Minute 323. We use 250 m MODIS and 30 m Landsat imagery to evaluate three vegetation indices (NDVI, EVI, EVI2). We select EVI2 to parameterize an optical-based ET algorithm and test the relationship between ET from Landsat and MODIS by regression approaches. Our analyses show significant decreases in VIs and ET for both the 20-year and post-pulse 5-year periods. Over the last 20 years, EVI Landsat declined 34% (30% by EVIMODIS) and ETLandsat-EVI declined 38% (27% by ETMODIS-EVI), overall ca. 1.61 mm/day or 476 mm/year drop in ET; using PAM ETLandsat-EVI the drop was from 1130 to 654 mm/year. Over the 5 years since the 2014 pulse flow, EVILandsat declined 20% (13% by EVIMODIS) and ETLandsat-EVI declined 23% (4% by ETMODIS-EVI) with a 0.77 mm/day or a 209 mm/year 5-year drop in ET; using PAM ETLandsat-EVI the drop was from 863 to 654 mm/year. Data and change maps show the pulse flow contributed enough water to slow the rate of loss, but only for the very short-term (1–2 years). These findings are critically important as they suggest further deterioration of biodiversity, wildlife habitat and key ecosystem services due to anthropogenic diversions of water in the U.S. and Mexico and from land clearing, fires and plant-related drought which affect hydrological processes.
• Nouri, H., Nagler, P., Chavoshi Borujeni, S., Barreto Munez, A., Alaghmand, S., Noori, B., Galindo, A., & Didan, K. (2020). Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces. Hydrological Processes, 34(Issue 15). doi:10.1002/hyp.13790
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  Urban green spaces (UGS), like most managed land covers, are getting progressively affected by water scarcity and drought. Preserving, restoring and expanding UGS require sustainable management of green and blue water resources to fulfil evapotranspiration (ET) demand for green plant cover. The heterogeneity of UGS with high variation in their microclimates and irrigation practices builds up the complexity of ET estimation. In oversized UGS, areas too large to be measured with in situ ET methods, remote sensing (RS) approaches of ET measurement have the potential to estimate the actual ET. Often in situ approaches are not feasible or too expensive. We studied the effects of spatial resolution using different satellite images, with high-, medium- and coarse-spatial resolutions, on the greenness and ET of UGS using Vegetation Indices (VIs) and VI-based ET, over a 780-ha urban park in Adelaide, Australia. We validated ET with the ground-based ET method of Soil Water Balance. Three sets of imagery from WorldView2, Landsat and MODIS, and three VIs including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Enhanced Vegetation Index 2 (EVI2), were used to assess long-term changes of VIs and ET calculated from the different imagery acquired for this study (2011–2018). We found high correspondence between ET-MODIS and ET-Landsat (R2 > 0.99 for all VIs). Landsat-VIs captured the seasonal changes of greenness better than MODIS-VIs. We used artificial neural network (ANN) to relate the RS-ET and ground data, and ET-MODIS (EVI2) showed the highest correlation (R2 = 0.95 and MSE =0.01 for validation). We found a strong relationship between RS-ET and in situ measurements, even though it was not explicable by simple regressions; black box models helped us to explore their correlation. The methodology used in this research makes a strong case for the value of remote sensing in estimating and managing ET of green spaces in water-limited cities.
• Nouri, H., Nagler, P., Chavoshi, B. S., Barreto, M. A., Alaghmand, S., Noori, B., Galindo, A., & Didan, K. (2020). Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces. Hydrological Processes, 34(15), 3183--3199.
• Wang, X., Dannenberg, M. P., Yan, D., Jones, M. O., Kimball, J. S., Moore, D. J., Leeuwen, W. J., Didan, K., & Smith, W. K. (2020). Globally consistent patterns of asynchrony in vegetation phenology derived from optical, microwave, and fluorescence satellite data. Journal of Geophysical Research: Biogeosciences, 125(7), e2020JG005732.
• Wang, X., Dannenberg, M. P., Yan, D., Jones, M. O., Kimball, J. S., Moore, D. J., van Leeuwen, W. J., Didan, K., & Smith, W. K. (2020). Globally Consistent Patterns of Asynchrony in Vegetation Phenology Derived From Optical, Microwave, and Fluorescence Satellite Data. Journal of Geophysical Research: Biogeosciences, 125(Issue 7). doi:10.1029/2020jg005732
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  Climate change is impacting vegetation phenology with important implications and feedbacks to global carbon, water, and nutrient cycling. Satellite remote sensing can monitor multiple aspects of land surface phenology and its sensitivity to climate. Normalized difference vegetation index (NDVI) tracks vegetation chlorophyll content. Vegetation optical depth (VOD) tracks the total water content of aboveground biomass. Solar-induced chlorophyll fluorescence (SIF) more directly approximates vegetation gross photosynthesis. Yet it remains unclear how these different indices, representing independent vegetation development processes, covary over the course of a growing season and across the global domain. To address this gap, we synthesize information from all three indices and enable a deeper understanding of seasonal phenology that goes beyond seasonal photosynthesis. We derive and evaluate 9-year average timing of start of growing season (SOS), peak of growing season (POS), and end of growing season (EOS) for each of these satellite indices globally. We found SOS occurs relatively synchronously, but they become increasingly asynchronous as growing season progresses, such that POS and EOS from SIF occurred first, followed by NDVI and finally by VOD. In contrast to the relatively quick and synchronous start-of-season transition, senescence appears to be a relatively prolonged transition, beginning with reduced photosynthetic activity, then greenness/chlorophyll, and finally plant water content. Comparisons with gross primary productivity from eddy covariance flux tower observations confirm that SIF most closely tracks seasonal photosynthesis. NDVI, VOD, and SIF provide independent, complementary information on seasonal vegetation transitions and reveal new insights into the complex underlying functional and structural processes that control vegetation growth and senescence.
• EL-Vilaly, M. A., Didan, K., Marsh, S. E., Crimmins, M. A., & Munoz, A. B. (2018). Characterizing drought effects on vegetation productivity in the four Corners Region of the US Southwest. Sustainability (Switzerland), 10(Issue 5). doi:10.3390/su10051643
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  The droughts striking the Colorado Plateau, where the Hopi Tribe and Navajo Nation Native American reservation lands are located, and their impacts have appeared slowly and relatively unnoticed in conventional national drought monitoring efforts like the National Drought Monitor. To understand the effect of drought-based drivers on vegetation productivity in the Hopi Tribe and Navajo Nation reservation lands, an assessment approach was developed integrating climate, land cover types, and topographical data with annual geospatially explicit normalized difference vegetation index (NDVI)-related productivity from 1989 to 2014 derived from 15-day composite multi-sensor NDVI time series data. We studied vegetation-environment relationships by conducting multiple linear regression analysis to explain the driver of vegetation productivity changes. Our results suggest that the interannual change of vegetation productivity showed high variability in middle elevations where needleleaf forest is the dominant vegetation cover type. Our analysis also shows that the spatial variation in interannual variability of vegetation productivity was more driven by climate drivers than by topography ones. Specifically, the interannual variability in spring precipitation and fall temperature seems to be the most significant factor that correlated with the interannual variability in vegetation productivity during the last two and a half decades.
• El-Vilaly, M. A., Didan, K., Marsh, S. E., van Leeuwen, W. J., Crimmins, M. A., & Munoz, A. B. (2018). Vegetation productivity responses to drought on tribal lands in the four corners region of the Southwest USA. Frontiers of Earth Science, 12(Issue 1). doi:10.1007/s11707-017-0646-z
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  For more than a decade, the Four Corners Region has faced extensive and persistent drought conditions that have impacted vegetation communities and local water resources while exacerbating soil erosion. These persistent droughts threaten ecosystem services, agriculture, and livestock activities, and expose the hypersensitivity of this region to inter-annual climate variability and change. Much of the intermountainWestern United States has sparse climate and vegetation monitoring stations, making fine-scale drought assessments difficult. Remote sensing data offers the opportunity to assess the impacts of the recent droughts on vegetation productivity across these areas. Here, we propose a drought assessment approach that integrates climate and topographical data with remote sensing vegetation index time series. Multisensor Normalized Difference Vegetation Index (NDVI) time series data from 1989 to 2010 at 5.6 km were analyzed to characterize the vegetation productivity changes and responses to the ongoing drought. A multi-linear regression was applied to metrics of vegetation productivity derived from the NDVI time series to detect vegetation productivity, an ecosystem service proxy, and changes. The results show that around 60.13% of the study area is observing a general decline of greenness (p
• El-Vilaly, M., Didan, K., Marsh, S. E., Crimmins, M. A., & Munoz, A. B. (2018). Characterizing Drought Effects on Vegetation Productivity in the Four Corners Region of the US Southwest. SUSTAINABILITY, 10(5).
• El-Vilaly, M., Didan, K., Marsh, S. E., Crimmins, M. A., & Munoz, A. B. (2018). Characterizing drought effects on vegetation productivity in the Four Corners region of the US southwest. Sustainability, 10(5), 1643.
• El-Vilaly, M., Didan, K., Marsh, S. E., Leeuwen, W. J., Crimmins, M. A., & Munoz, A. B. (2018). Vegetation productivity responses to drought on tribal lands in the four corners region of the Southwest USA. Frontiers of earth science, 12(1), 37--51.
• El-Vilaly, M., Didan, K., Marsh, S. E., van, L., Crimmins, M. A., & Munoz, A. B. (2018). Vegetation productivity responses to drought on tribal lands in the four corners region of the Southwest USA. FRONTIERS OF EARTH SCIENCE, 12(1), 37-51.
• Jarchow, C. J., Didan, K., Barreto-Mu\~noz, A., Nagler, P. L., & Glenn, E. P. (2018). Application and comparison of the MODIS-derived enhanced vegetation index to VIIRS, landsat 5 TM and landsat 8 OLI platforms: A case study in the arid colorado river delta, Mexico. Sensors, 18(5), 1546.
• Jarchow, C. J., Didan, K., Barreto-Munoz, A., Nagler, P. L., & Glenn, E. P. (2018). Application and Comparison of the MODIS-Derived Enhanced Vegetation Index to VIIRS, Landsat 5 TM and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico. SENSORS, 18(5).
• Jarchow, C. J., Didan, K., Barreto-Muñoz, A., Nagler, P. L., & Glenn, E. P. (2018). Application and Comparison of the MODIS-Derived Enhanced Vegetation Index to VIIRS, Landsat 5 TM and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico. Sensors (Basel, Switzerland), 18(5).
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  The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. We compared Landsat 5 (2000⁻2011), 8 (2013⁻2016) and the Visible Infrared Imaging Radiometer Suite (VIIRS; 2013⁻2016) to MODIS EVI (2000⁻2016) over a 420,083-ha area of the arid lower Colorado River Delta in Mexico. Over large areas with mixed land cover or agricultural fields, we found high correspondence between Landsat and MODIS EVI (R² = 0.93 for the entire area studied and 0.97 for agricultural fields), but the relationship was weak over bare soil (R² = 0.27) and riparian vegetation (R² = 0.48). The correlation between MODIS and Landsat EVI was higher over large, homogeneous areas and was generally lower in narrow riparian areas. VIIRS and MODIS EVI were highly similar (R² = 0.99 for the entire area studied) and did not show the same decrease in performance in smaller, narrower regions as Landsat. Landsat and VIIRS provide EVI estimates of similar quality and characteristics to MODIS, but scale, seasonality and land cover type(s) should be considered before implementing Landsat EVI in a particular area.
• Jarchow, C. J., Didan, K., Barreto-Muñoz, A., Nagler, P. L., & Glenn, E. P. (2018). Application and comparison of the MODIS-derived enhanced vegetation index to VIIRS, landsat 5 TM and landsat 8 OLI platforms: A case study in the arid colorado river delta, Mexico. Sensors (Switzerland), 18(Issue 5). doi:10.3390/s18051546
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  The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. We compared Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared Imaging Radiometer Suite (VIIRS; 2013–2016) to MODIS EVI (2000–2016) over a 420,083-ha area of the arid lower Colorado River Delta in Mexico. Over large areas with mixed land cover or agricultural fields, we found high correspondence between Landsat and MODIS EVI (R2 = 0.93 for the entire area studied and 0.97 for agricultural fields), but the relationship was weak over bare soil (R2 = 0.27) and riparian vegetation (R2 = 0.48). The correlation between MODIS and Landsat EVI was higher over large, homogeneous areas and was generally lower in narrow riparian areas. VIIRS and MODIS EVI were highly similar (R2 = 0.99 for the entire area studied) and did not show the same decrease in performance in smaller, narrower regions as Landsat. Landsat and VIIRS provide EVI estimates of similar quality and characteristics to MODIS, but scale, seasonality and land cover type(s) should be considered before implementing Landsat EVI in a particular area.
• Mohamed, A., Mohamed, A., Didan, K., Didan, K., Marsh, S. E., Marsh, S. E., Crimmins, M. A., Crimmins, M. A., Munoz, A. B., Munoz, A. B., others, ., & others, . (2018). Characterizing drought effects on vegetation productivity in the four corners region of the US Southwest. Sustainability, 10(5), 1--16.
• El Vilaly, M. A., Didan, K., Marsh, S. E., Van Leeuwen, W. J., Crimmins, M. A., & Barreto, A. (2017). Vegetation Productivity Responses to Drought on Tribal Lands in the Four Corners Region of the Southwest U.S.. Frontiers of Earth Science. doi:https://doi.org/10.1007/s11707-017-0646-z
• Peng, D., Zhang, X., Wu, C., Huang, W., Gonsamo, A., Huete, A. R., Didan, K., Tan, B., Liu, X., & Zhang, B. (2017). Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. AGRICULTURAL AND FOREST METEOROLOGY, 242, 33-46.
• Peng, D., Zhang, X., Wu, C., Huang, W., Gonsamo, A., Huete, A. R., Didan, K., Tan, B., Liu, X., & Zhang, B. (2017). Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. Agricultural and Forest Meteorology, 242(Issue). doi:10.1016/j.agrformet.2017.04.009
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  Many remote sensing based spring phenology products have been developed to monitor and study vegetation phenology at regional and global scales. It is important to understand how these products perform relative to each other and to ground observations. In this study, we extracted spring green-up onset dates (GUD) over the contiguous United States (CONUS) from six major land surface phenology (LSP) products: (1) Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Dynamics Phenology (MCD12Q2); (2) Vegetation Index and Phenology Multi-sensor Phenology (VIPPHENEVI2); (3) Global Long-Term Climate Modeling Grid Land Surface Phenology (CMGLSP); (4 and 5) North American Carbon Program (NACP) Phenology (MOD09Q1PEVI and MOD15PHN); and (6) USGS/EROS advanced very high resolution radiometer (AVHRR) phenology (AVHRRP). We characterized and compared the GUD data in these LSP products, and evaluated their accuracy using ground-based phenology observations [i.e., human observations of first leaf and sensor readings of gross primary productivity (GPP)] from the USA National Phenology Network (USA-NPN) and AmeriFlux. The results revealed the consistencies and discrepancies of GUD estimates among LSP products. Intercomparison of the six products indicated that the root mean square error (RMSE) of these products range from 17.8 days to 31.5 days, whereas AVHRRP GUD has the lowest correlation and largest RMSE (∼30 days) relative to other products. When compared to ground observations, GUD estimates in six LSP products generally have RMSE values of ∼20 days and significant correlations (p < 0.001). For the products (MCD12Q2, AVHRRP, MOD09Q1PEVI, and MOD15PHN) available for comparisons in the short-term period (from 2001–2007), AVHRRP GUD presented relatively weaker correlations and a lower index of agreement (IOA), however, MCD12Q2 GUD showed overall slightly better consistencies with ground observations. In the two long-term products (CMGLSP and VIPPHENEVI2 from 1982–2013), CMGLSP exhibited stronger correlations, lower RMSE, and higher IOA with ground observations of the first leaf dates than VIPPHENEVI2 did. To our knowledge, our study provides the first comprehensive evaluation of phenology products using two independent ground-based datasets.
• Peng, D., Zhang, X., Wu, C., Huang, W., Gonsamo, A., Huete, A. R., Didan, K., Tan, B., Liu, X., & Zhang, B. (2017). Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. Agricultural and Forest Meteorology, 242, 33--46.
• Didan, K. (2016). Divergent responses of vegetation cover in Southwestern US ecosystems to dry and wet years at different elevations. Env. Research Letters, 11(12), 9. doi:doi:10.1088/1748-9326/11/12/124005
• Herrmann, S. M., Didan, K., Barreto-Munoz, A., & Crimmins, M. A. (2016). Divergent responses of vegetation cover in Southwestern US ecosystems to dry and wet years at different elevations. Environmental Research Letters, 11(12), 124005.
• Herrmann, S. M., Didan, K., Barreto-Munoz, A., & Crimmins, M. A. (2016). Divergent responses of vegetation cover in Southwestern US ecosystems to dry and wet years at different elevations. Environmental Research Letters, 11(12).
• Herrmann, S. M., Didan, K., Barreto-Munoz, A., & Crimmins, M. A. (2016). Divergent responses of vegetation cover in Southwestern US ecosystems to dry and wet years at different elevations. Environmental Research Letters, 11(Issue 12). doi:10.1088/1748-9326/11/12/124005
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  In the semiarid Southwestern United States, prolonged drought conditions since the early 2000s have resulted in widespread declines of the vegetation productivity in this water-constrained ecosystem, as revealed by analyses of the Normalized Difference Vegetation Index (NDVI). However, the spatial pattern of the NDVI response to dry years is not uniform: a divergent response of NDVI to precipitation is observed between the low-lying desert and the high montane forests at elevations above 2,500 meter. We analyzed relationships between 15 years of Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI and gridded climate data (PRISM) along elevation gradients at scales from regional to local. Our elevation-explicit analysis captures the transition from water-limited to temperature-limited ecosystems, with a sign-reversal in the correlation coefficient between precipitation and NDVI observed at about 2,500-3,000m altitude. We suggest warmer temperatures and less snow cover associated with drier years as explanations for high elevation gains in vegetation productivity during dry years.
• Nagler, P. L., Doody, T. M., Glenn, E. P., Jarchow, C. J., Barreto-Mu\~noz, A., & Didan, K. (2016). Wide-area estimates of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray--Darling River Basin, Australia. Hydrological Processes, 30(9), 1376--1387.
• Nagler, P. L., Doody, T. M., Glenn, E. P., Jarchow, C. J., Barreto-Munoz, A., & Didan, K. (2016). Wide-area estimates of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray-Darling River Basin, Australia. HYDROLOGICAL PROCESSES, 30(9), 1376-1387.
• Didan, K. (2015). MOD13Q1 MODIS/Terra vegetation indices 16-day L3 global 250m SIN grid V006. NASA EOSDIS Land Processes DAAC, 10.
• Didan, K., & Didan, K. (2015). Mod13a3 modis/terra vegetation indices monthly l3 global 1km sin grid v006. NASA EOSDIS Land Processes DAAC, 10.
• Didan, K., Munoz, A. B., Solano, R., & Huete, A. (2015). MODIS vegetation index user’s guide (MOD13 series). University of Arizona: Vegetation Index and Phenology Lab.
• Didan, K., Nagler, P. L., Doody, T. M., Glenn, E. P., Jarchow, C. J., & Barreto-Muñoz, A. (2015). Wide-area estimates of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray-Darling River Basin, Australia: Wide-Area Estimates of Evapotranspiration by Red Gum. Hydrological Processes, 30(9), 1376-1387. doi:10.1002/hyp.10734
• Nagler, P. L., Doody, T. M., Glenn, E. P., Jarchow, C. J., Barreto-Mu{\~n}oz, A., & Didan, K. (2015). Wide-area estimates of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray--Darling River Basin, Australia. Hydrological Processes.
• Howsawi, E., Eager, D., Bagia, R., & Niebecker, K. (2014). The four-level project success framework: application and assessment. Organisational Project Management, 1(1), 1--15.
• Kim, Y., Kim, Y., Kim, Y., Kimball, J. S., Kimball, J. S., Kimball, J., Didan, K., Didan, K., Didan, K., Henebry, G. M., Henebry, G. M., & Henebry, G. (2014). Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion. Agricultural and Forest Meteorology, 194, 132--143.
• Kim, Y., Kim, Y., Kimball, J. S., Kimball, J. S., Didan, K., Didan, K., Henebry, G. M., & Henebry, G. M. (2014). New Spring Climate Indicator (SCI) Metrics from Satellite Optical \& Microwave ESDR Fusion.
• Kim, Y., Kimball, J. S., Didan, K., & Henebry, G. M. (2014). Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion. AGRICULTURAL AND FOREST METEOROLOGY, 194, 132-143.
• Kim, Y., Kimball, J. S., Didan, K., & Henebry, G. M. (2014). Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion. Agricultural and Forest Meteorology, 194(Issue). doi:10.1016/j.agrformet.2014.04.001
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  Spring temperatures strongly influence plant phenology, including budburst, canopy development, and crop planting period. Recent spring warming coincides with earlier and longer non-frozen season trends, and generally earlier spring canopy onset and vegetation productivity increases over the conterminous US (CONUS). However, earlier spring onset increases frost damage risk, with potential negative impacts to productivity. Frost sensitivity and vulnerability is heterogeneous over the CONUS domain, while the occurrence, intensity and regional impact of frost events are difficult to monitor from sparse weather stations. To enhance regional frost risk monitoring capabilities, we developed spring frost day (SFD) and spring frost damage day (SFDD) metrics spanning a long-term (>30 year) record by integrating a satellite microwave remote sensing record of daily landscape freeze-thaw (FT) status and optical-IR sensor based phenology record of start of season (SOS) and day of peak (DOP) canopy cover. We find a decreasing regional SFD trend (-1.6 days decade-1; p
• Kim, Y., Kimball, J. S., Zhang, K., Didan, K., Velicogna, I., & McDonald, K. C. (2014). Attribution of divergent northern vegetation growth responses to lengthening non-frozen seasons using satellite optical-NIR and microwave remote sensing. INTERNATIONAL JOURNAL OF REMOTE SENSING, 35(10), 3700-3721.
• Kim, Y., Kimball, J. S., Zhang, K., Didan, K., Velicogna, I., & McDonald, K. C. (2014). Attribution of divergent northern vegetation growth responses to lengthening non-frozen seasons using satellite optical-NIR and microwave remote sensing. International Journal of Remote Sensing, 35(Issue 10). doi:10.1080/01431161.2014.915595
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  The non-frozen (NF) season duration strongly influences the northern carbon cycle where frozen (FR) temperatures are a major constraint to biological processes. The landscape freeze-thaw (FT) signal from satellite microwave remote sensing provides a surrogate measure of FR temperature constraints to ecosystem productivity, trace gas exchange, and surface water mobility. We analysed a new global satellite data record of daily landscape FT dynamics derived from temporal classification of overlapping SMMR and SSM/I 37 GHz frequency brightness temperatures (Tb). The FT record was used to quantify regional patterns, annual variability, and trends in the NF season over northern (≥45°N) vegetated land areas. The ecological significance of these changes was evaluated against satellite normalized difference vegetation index (NDVI) anomalies, estimated moisture and temperature constraints to productivity determined from meteorological reanalysis, and atmospheric CO2 records. The FT record shows a lengthening (2.4 days decade-1; p < 0.005) mean annual NF season trend (1979-2010) for the high northern latitudes that is 26% larger than the Northern Hemisphere trend. The NDVI summer growth response to these changes is spatially complex and coincides with local dominance of cold temperature or moisture constraints to productivity. Longer NF seasons are predominantly enhancing productivity in cold temperature-constrained areas, whereas these effects are reduced or reversed in more moisture-constrained areas. Longer NF seasons also increase the atmospheric CO2 seasonal amplitude by enhancing both regional carbon uptake and emissions. We find that cold temperature constraints to northern growing seasons are relaxing, whereas potential benefits for productivity and carbon sink activity are becoming more dependent on the terrestrial water balance and supply of plant-available moisture needed to meet additional water use demands under a warming climate. © 2014 Taylor & Francis.
• Kim, Y., Kimball, J., Zhang, K., Didan, K., Velicogna, I., & McDonald, K. (2014). Attribution of divergent northern vegetation growth responses to lengthening non-frozen seasons using satellite optical-NIR and microwave remote sensing. International Journal of Remote Sensing, 35(10), 3700--3721.
• Miura, T., Tsend-Ayush, J., & Didan, K. (2013). SPECTRAL COMPATIBILITY ANALYSIS OF THE ENHANCED VEGETATION INDEX FOR LONG-TERM CONTINUITY ACROSS AVHRR, MODIS, AND VIIRS.
• Rahman, A. F., Dragoni, D., Didan, K., Barreto-Munoz, A., & Hutabarat, J. A. (2013). Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. REMOTE SENSING OF ENVIRONMENT, 130, 96-107.
• Rahman, A. F., Dragoni, D., Didan, K., Barreto-Munoz, A., & Hutabarat, J. A. (2013). Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. Remote Sensing of Environment, 130(Issue). doi:10.1016/j.rse.2012.11.014
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  Mangrove forests of the tropical and subtropical regions provide critical ecosystem services, fulfill important socio-economic and environmental functions, and support coastal livelihoods. These forests are also among the most vulnerable ecosystems, both to anthropogenic disturbance and climate change. Yet, no map or published study exists showing detailed spatiotemporal trends of mangrove deforestation at local to regional scales. This study uses change point and mixed-pixel analyses with a time series (2000-2010) of high-fidelity imagery from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) for tracking deforestation of mangroves in the Mahakam Delta of Indonesia at 250. m spatial scale and a 3-monthly temporal interval. The results show that a total of 21,000 ± 152. ha of mangrove land in the Mahakam Delta were deforested and converted to shrimp ponds in 11. years. In 2000, the deforested lands covered 47% of the entire delta, while in 2010 it increased to 75%. Deforestation rates varied in each year, but peaked in 2002 and declined since then. The combination of high-fidelity time series data and a robust method of change detection resulted in a virtual reconstruction of 11. years of drastic land change history of the delta's mangrove areas at a consistent spatiotemporal scale. We anticipate that the methodology developed in this study will be useful to reconstruct deforestation histories of other places as well. Also, our findings can potentially be used to further explore the socioeconomic drivers of mangrove deforestation so that reliable, appropriate and sustainable methods of local and regional scale adaptation/mitigation strategies can be developed. © 2012 Elsevier Inc.
• Rahman, A. F., Rahman, A. F., Rahman, A. F., Dragoni, D., Dragoni, D., Dragoni, D., Didan, K., Didan, K., Didan, K., Barreto-Munoz, A., Barreto-Munoz, A., Barreto-Munoz, A., Hutabarat, J. A., Hutabarat, J. A., & Hutabarat, J. A. (2013). Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. Remote Sensing of Environment, 130, 96--107.
• Vilaly, E. l., Marsh, S. E., Mohamdy, M., Didan, K., Crimmins, M. A., Hutchinson, C. F., Guertin, D. P., & others, . (2013). Drought Monitoring with Remote Sensing Based Land Surface Phenology Applications and Validation.
• Kim, Y., Kimball, J. S., Zhang, K. e., & Didan, K. (2012). The effect of winter frozen season changes on Northern Hemisphere vegetation canopy growth determined from satellite microwave and optical remote sensing.
• Tsend-Ayush, J., Miura, T., Didan, K., & Barreto-Munoz, A. (2012). AN EMPIRICAL APPROACH FOR CROSS-SENSOR RELATIONSHIPS OF THE NDVI AND EVI2 ACROSS DIFFERENT SENSORS.
• Solano, R., Didan, K., Jacobson, A., & Huete, A. (2010). MODIS vegetation index user?s guide (MOD13 series). Vegetation Index and Phenology Lab, The University of Arizona, 1--38.
• Solano, R., Didan, K., Jacobson, A., & Huete, A. (2010). MODIS vegetation indices (MOD13) C5 user’s guide. Tucson: The University of Arizona.
• Solano, R., Solano, R., Didan, K., Didan, K., Jacobson, A., Jacobson, A., Huete, A., & Huete, A. (2010). MODIS vegetation index user’s guide (MOD13 series). Vegetation Index and Phenology Lab, The University of Arizona, 1--38.
• Didan, K., & Yitayew, M. (2009). Prototype Geographic Information System for Agricultural Water Quality Management Using CropSyst. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING-ASCE, 135(1), 58-67.
• Didan, K., & Yitayew, M. (2009). Prototype geographic information system for agricultural water quality management using cropSyst. Journal of irrigation and drainage engineering, 135(1), 58--67.
• Nagler, P. L., Morino, K., Didan, K., Erker, J., Osterberg, J., Hultine, K. R., & Glenn, E. P. (2009). Wide-area estimates of saltcedar (Tamarix spp.) evapotranspiration on the lower Colorado River measured by heat balance and remote sensing methods. ECOHYDROLOGY, 2(1), 18-33.
• Nagler, P. L., Morino, K., Didan, K., Erker, J., Osterberg, J., Hultine, K. R., & Glenn, E. P. (2009). Wide-area estimates of saltcedar (Tamarix spp.) evapotranspiration on the lower Colorado River measured by heat balance and remote sensing methods. Ecohydrology, 2(1), 18--33.
• Nagler, P. L., Morino, K., Didan, K., Erker, J., Osterberg, J., Hultine, K. R., & Glenn, E. P. (2009). Wide-area estimates of saltcedar (Tamarix spp.) evapotranspiration on the lower Colorado River measured by heat balance and remote sensing methods. Ecohydrology, 2(Issue 1). doi:10.1002/eco.35
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  In many places along the lower Colorado River, saltcedar (Tamarix spp) has replaced the native shrubs and trees, including arrowweed, mesquite, cottonwood and willows. Some have advocated that by removing saltcedar, we could save water and create environments more favourable to these native species. To test these assumptions we compared sap flux measurements of water used by native species in contrast to saltcedar, and compared soil salinity, ground water depth and soil moisture across a gradient of 200-1500 m from the river's edge on a floodplain terrace at Cibola National Wildlife Refuge (CNWR). We found that the fraction of land covered (fc) with vegetation in 2005-2007 was similar to that occupied by native vegetation in 1938 using satellite-derived estimates and reprocessed aerial photographs scaled to comparable spatial resolutions (3-4 m). We converted fc to estimates of leaf area index (LAI) through point sampling and destructive analyses (r2 = 0.82). Saltcedar LAI averaged 2.54 with an fc of 0.80, and reached a maximum of 37 with an f c of 0.95. The ranges in fc and LAI are similar to those reported for native vegetation elsewhere and from the 1938 photographs over the study site. On-site measurements of water use and soil and aquifer properties confirmed that although saltcedar grows in areas where salinity has increased much better than native shrubs and trees, rates of transpiration are similar. Annual water use over CNWR was about 1.15 m year-1. Copyright © 2008 John Wiley & Sons, Ltd.
• Nagler, P. L., Nagler, P. L., Morino, K., Morino, K., Didan, K., Didan, K., Erker, J., Erker, J., Osterberg, J., Osterberg, J., Hultine, K. R., Hultine, K. R., Glenn, E. P., & Glenn, E. P. (2009). Wide-area estimates of saltcedar (Tamarix spp.) evapotranspiration on the lower Colorado River measured by heat balance and remote sensing methods. Ecohydrology: Ecosystems, Land and Water Process Interactions, Ecohydrogeomorphology, 2(1), 18--33.
• White, M. A., White, M. A., White, M. A., Beurs, K. M., Beurs, K. M., BEURS, D., Didan, K., Didan, K., Kirsten, M., Inouye, D. W., Inouye, D. W., DIDAN, K., Richardson, A. D., Richardson, A. D., INOUYE, D. W., Jensen, O. P., Jensen, O. P., RICHARDSON, A. D., O'KEEFE, J., , O'KEEFE, J., et al. (2009). Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982--2006. Global Change Biology, 15(10), 2335--2359.
• White, M. A., de Beurs, K. M., Didan, K., Inouye, D. W., Richardson, A. D., Jensen, O. P., O'Keefe, J., Zhang, G., Nemani, R. R., van Leeuwen, W. J., Brown, J. F., de Wit, A., Schaepman, M., Lin, X., Dettinger, M., Bailey, A. S., Kimball, J., Schwartz, M. D., Baldocchi, D. D., , Lee, J. T., et al. (2009). Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Global Change Biology, 15(Issue 10). doi:10.1111/j.1365-2486.2009.01910.x
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  Shifts in the timing of spring phenology are a central feature of global change research. Long-term observations of plant phenology have been used to track vegetation responses to climate variability but are often limited to particular species and locations and may not represent synoptic patterns. Satellite remote sensing is instead used for continental to global monitoring. Although numerous methods exist to extract phenological timing, in particular start-of-spring (SOS), from time series of reflectance data, a comprehensive intercomparison and interpretation of SOS methods has not been conducted. Here, we assess 10 SOS methods for North America between 1982 and 2006. The techniques include consistent inputs from the 8 km Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer NDVIg dataset, independent data for snow cover, soil thaw, lake ice dynamics, spring streamflow timing, over 16000 individual measurements of ground-based phenology, and two temperature-driven models of spring phenology. Compared with an ensemble of the 10 SOS methods, we found that individual methods differed in average day-of-year estimates by ± 60 days and in standard deviation by ± 20 days. The ability of the satellite methods to retrieve SOS estimates was highest in northern latitudes and lowest in arid, tropical, and Mediterranean ecoregions. The ordinal rank of SOS methods varied geographically, as did the relationships between SOS estimates and the cryospheric/hydrologic metrics. Compared with ground observations, SOS estimates were more related to the first leaf and first flowers expanding phenological stages. We found no evidence for time trends in spring arrival from ground- or model-based data; using an ensemble estimate from two methods that were more closely related to ground observations than other methods, SOS trends could be detected for only 12% of North America and were divided between trends towards both earlier and later spring. © 2009 Blackwell Publishing Ltd.
• White, M. A., de, B., Didan, K., Inouye, D. W., Richardson, A. D., Jensen, O. P., O'Keefe, J., Zhang, G., Nemani, R. R., van, L., Brown, J. F., de, W. A., Schaepman, M., Lin, X., Dettinger, M., Bailey, A. S., Kimball, J., Schwartz, M. D., Baldocchi, D. D., , Lee, J. T., et al. (2009). Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. GLOBAL CHANGE BIOLOGY, 15(10), 2335-2359.
• Yitayew, M., & Didan, K. (2009). Prototype Geographic Information System for Agricultural Water Quality Management Using CropSyst. Journal of Irrigation and Drainage Engineering, 135(1), 58-67. doi:10.1061/(asce)0733-9437(2009)135:1(58)
• Didan, K., Didan, K., Didan, K., Huete, A., Huete, A., Huete, A., Jacobson, A., Jacobson, A., Jacobson, A., Yuan, Y., Yuan, Y., & Yuan, Y. (2008). The MODIS Vegetation Index (MOD13) product series: specifications, performance and status. Terrestrial Biophysics \& Remote Sensing Lab, Department of Soil, Water, and Environmental Science, The University of Arizona, Tucson, AZ. Accessed May.
• Glenn, E. P., Glenn, E. P., Morino, K., Morino, K., Didan, K., Didan, K., Jordan, F., Jordan, F., C., C. K., C., C. K., Nagler, P. L., Nagler, P. L., Hultine, K., Hultine, K., Sheader, L., Sheader, L., Waugh, J., & Waugh, J. (2008). Scaling sap flux measurements of grazed and ungrazed shrub communities with fine and coarse-resolution remote sensing. Ecohydrology: Ecosystems, Land and Water Process Interactions, Ecohydrogeomorphology, 1(4), 316--329.
• Glenn, E. P., Morino, K., Didan, K., Jordan, F., C Carroll, K., Nagler, P. L., Hultine, K., Sheader, L., & Waugh, J. (2008). Scaling sap flux measurements of grazed and ungrazed shrub communities with fine and coarse-resolution remote sensing. Ecohydrology, 1(4), 316--329.
• Glenn, E. P., Morino, K., Didan, K., Jordan, F., Carroll, K. C., Nagler, P. L., Hultine, K., Sheader, L., & Waugh, J. (2008). Scaling sap flux measurements of grazed and ungrazed shrub communities with fine and coarse-resolution remote sensing. ECOHYDROLOGY, 1(4), 316-329.
• Huete, A. R., Kim, Y., Ratana, P., Didan, K., Shimabukuro, Y. E., & Miura, T. (2008). Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests.
• Huete, A. R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska SR, ., Ichii, K., Panuthai, S., & Gamo, M. (2008). Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia. Agricultural and Forest Meteorology, 148(5), 748--760.
• Huete, A. R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska, S. R., Ichii, K., Panuthai, S., & Gamo, M. (2008). Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia. AGRICULTURAL AND FOREST METEOROLOGY, 148(5), 748-760.
• Huete, A. R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska, S. R., Ichii, K., Panuthai, S., & Gamo, M. (2008). Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia. Agricultural and Forest Meteorology, 148(Issue 5). doi:10.1016/j.agrformet.2008.01.012
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  The spatial and temporal dynamics of tropical forest functioning are poorly understood, partly attributed to a weak seasonality and high tree species diversity at the landscape scale. Recent neotropical rainforest studies with local tower flux measurements have revealed strong seasonal carbon fluxes that follow the availability of sunlight in intact forests, while in areas of forest disturbance, carbon fluxes more closely tracked seasonal water availability. These studies also showed a strong seasonal correspondence of satellite measures of greenness, using the Enhanced Vegetation Index (EVI) with ecosystem carbon fluxes in both intact and disturbed forests, which may enable larger scale extension of tower flux measurements. In this study, we investigated the seasonal patterns and relationships of local site tower flux measures of gross primary productivity (Pg) with independent Moderate Resolution Imaging Spectroradiometer (MODIS) satellite greenness measures across three Monsoon Asia tropical forest types, encompassing drought-deciduous, dry evergreen, and humid evergreen secondary tropical forests. In contrast to neotropical forests, the tropical forests of Monsoon Asia are more extensively degraded and heterogeneous due to intense land use pressures, and therefore, may exhibit unique seasonal patterns of ecosystem fluxes that are more likely water-limited and drought-susceptible. Our results show significant phenologic variability and response to moisture and light controls across the three tropical forest sites and at the regional scale. The drier tropical forests were primarily water-limited, while the wet evergreen secondary forest showed a slight positive trend with light availability. Satellite EVI greenness observations were generally synchronized and linearly related with seasonal and inter-annual tower flux Pg measurements at the multiple sites and provided better opportunities for tower extension of carbon fluxes than other satellite products, such as the MODIS Pg product. Satellite EVI-derived Pg images revealed strong seasonal variations in photosynthetic activity throughout the Monsoon Asia tropical region. © 2008 Elsevier B.V. All rights reserved.
• Huete, A., Kim, Y., Ratana, P., Didan, K., Shimabukuro, Y., & Miura, T. (2008). Assessment of phenologic variability in Amazon tropical rainforests using hyperspectral and MODIS satellite data. Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests.
• Jiang, Z., Huete, A. R., Didan, K., & Miura, T. (2008). Development of a two-band enhanced vegetation index without a blue band. REMOTE SENSING OF ENVIRONMENT, 112(10), 3833-3845.
• Jiang, Z., Huete, A. R., Didan, K., & Miura, T. (2008). Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment, 112(Issue 10). doi:10.1016/j.rse.2008.06.006
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  The enhanced vegetation index (EVI) was developed as a standard satellite vegetation product for the Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS). EVI provides improved sensitivity in high biomass regions while minimizing soil and atmosphere influences, however, is limited to sensor systems designed with a blue band, in addition to the red and near-infrared bands, making it difficult to generate long-term EVI time series as the normalized difference vegetation index (NDVI) counterpart. The purpose of this study is to develop and evaluate a 2-band EVI (EVI2), without a blue band, which has the best similarity with the 3-band EVI, particularly when atmospheric effects are insignificant and data quality is good. A linearity-adjustment factor β is proposed and coupled with the soil-adjustment factor L used in the soil-adjusted vegetation index (SAVI) to develop EVI2. A global land cover dataset of Terra MODIS data extracted over land community validation and FLUXNET test sites is used to develop the optimal parameter (L, β and G) values in EVI2 equation and achieve the best similarity between EVI and EVI2. The similarity between the two indices is evaluated and demonstrated with temporal profiles of vegetation dynamics at local and global scales. Our results demonstrate that the differences between EVI and EVI2 are insignificant (within ± 0.02) over a very large sample of snow/ice-free land cover types, phenologies, and scales when atmospheric influences are insignificant, enabling EVI2 as an acceptable and accurate substitute of EVI. EVI2 can be used for sensors without a blue band, such as the Advanced Very High Resolution Radiometer (AVHRR), and may reveal different vegetation dynamics in comparison with the current AVHRR NDVI dataset. However, cross-sensor continuity relationships for EVI2 remain to be studied. © 2008 Elsevier Inc.
• Jiang, Z., Huete, A. R., Didan, K., & Miura, T. (2008). Development of a two-band enhanced vegetation index without a blue band. Remote sensing of Environment, 112(10), 3833--3845.
• Nagler, P. L., Glenn, E. P., Didan, K., Osterberg, J., Jordan, F., & Cunningham, J. (2008). Wide-area estimates of stand structure and water use of Tamarix spp. on the Lower Colorado River: Implications for restoration and water management projects. RESTORATION ECOLOGY, 16(1), 136-145.
• Nagler, P. L., Glenn, E. P., Didan, K., Osterberg, J., Jordan, F., & Cunningham, J. (2008). Wide-area estimates of stand structure and water use of Tamarix spp. on the Lower Colorado River: Implications for restoration and water management projects. Restoration Ecology, 16(1), 136--145.
• Nagler, P. L., Glenn, E. P., Didan, K., Osterberg, J., Jordan, F., & Cunningham, J. (2008). Wide-area estimates of stand structure and water use of tamarix spp. on the lower colorado river: Implications for restoration and water management projects. Restoration Ecology, 16(Issue 1). doi:10.1111/j.1526-100x.2008.00356.x
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  Tamarix spp. removal has been proposed to salvage water and allow native vegetation to recolonize western U.S. riparian corridors. We conducted wide-area studies on the Lower Colorado River to answer some of the scientific questions about Tamarix water use and the consequences of removal, combining ground surveys with remote sensing methods. Tamarix stands had moderate rates of evapotranspiration (ET), based on remote sensing estimates, averaging 1.1 m/yr, similar to rates determined for other locations on the river and other rivers. Leaf area index values were also moderate, and stands were relatively open, with areas of bare soil interspersed within stands. At three Tamarix sites in the Cibola National Wildlife Refuge, groundwater salinity at the site nearest to the river (200 m) was relatively low (circa 2,250 mg/L) and was within 3 m of the surface. However, 750 and 1,500 m from the river, the groundwater salinity was 5,000-10,000 mg/L due to removal of water by the Tamarix stands. Despite the high groundwater salinity, the sites away from the river did not have saline surface soils. Only 1% of the mean annual river flow is lost to Tamarix ET on the Lower Colorado River in the United States, and the opportunities for water salvage through Tamarix removal are constrained by its modest ET rates. A possible alternative to Tamarix removal is to intersperse native plants among the stands to improve the habitat value of the riparian zone. © 2008 Society for Ecological Restoration International.
• Bandiera, F., Barducci, A., Beaulieu, J., Bentoutou, Y., Bernier, M., Bhagavathy, S., Bianchi, T., Blacknell, D., Boccardo, P., Bogdanov, A., & others, . (2007). THE following is. IEEE Transactions on Geoscience and Remote Sensing, 45(12), 3857.
• Didan, K., Saleska, S. R., Huete, A. R., & da Rocha, H. R. (2007). Amazon Forests Green-Up During 2005 Drought. Science, 318(5850), 612-612. doi:10.1126/science.1146663
• Jiang, Z., Huete, A. R., Kim, Y., & Didan, K. (2007). 2-band enhanced vegetation index without a blue band and its application to AVHRR data - art. no. 667905. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY IV, 6679, 67905-67905.
• Myneni, R. B., Myneni, R. B., Yang, W., Yang, W., Nemani, R. R., Nemani, R. R., Huete, A. R., Huete, A. R., Dickinson, R. E., Dickinson, R. E., Knyazikhin, Y., Knyazikhin, Y., Didan, K., Didan, K., Fu, R., Fu, R., Ju\'arez, R., Ju\'arez, R., Saatchi, S. S., , Saatchi, S. S., et al. (2007). Large seasonal swings in leaf area of Amazon rainforests. Proceedings of the National Academy of Sciences, 104(12), 4820--4823.
• Myneni, R. B., Yang, W., Nemani, R. R., Huete, A. R., Dickinson, R. E., Knyazikhin, Y., Didan, K., Fu, R., Juarez, R., Saatchi, S. S., Hashimoto, H., Ichii, K., Shabanov, N. V., Tan, B., Ratana, P., Privette, J. L., Morisette, J. T., Vermote, E. F., Roy, D. P., , Wolfe, R. E., et al. (2007). Large seasonal swings in leaf area of Amazon rainforests. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 104(12), 4820-4823.
• Myneni, R. B., Yang, W., Nemani, R. R., Huete, A. R., Dickinson, R. E., Knyazikhin, Y., Didan, K., Fu, R., Negrón Juárez, R. I., Saatchi, S. S., Hashimoto, H., Ichii, K., Shabanov, N. V., Tan, B., Ratana, P., Privette, J. L., Morisette, J. T., Vermote, E. F., Roy, D. P., , Wolfe, R. E., et al. (2007). Large seasonal swings in leaf area of Amazon rainforests. Proceedings of the National Academy of Sciences of the United States of America, 104(12), 4820-3.
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  Despite early speculation to the contrary, all tropical forests studied to date display seasonal variations in the presence of new leaves, flowers, and fruits. Past studies were focused on the timing of phenological events and their cues but not on the accompanying changes in leaf area that regulate vegetation-atmosphere exchanges of energy, momentum, and mass. Here we report, from analysis of 5 years of recent satellite data, seasonal swings in green leaf area of approximately 25% in a majority of the Amazon rainforests. This seasonal cycle is timed to the seasonality of solar radiation in a manner that is suggestive of anticipatory and opportunistic patterns of net leaf flushing during the early to mid part of the light-rich dry season and net leaf abscission during the cloudy wet season. These seasonal swings in leaf area may be critical to initiation of the transition from dry to wet season, seasonal carbon balance between photosynthetic gains and respiratory losses, and litterfall nutrient cycling in moist tropical forests.
• Myneni, R. B., Yang, W., Nemani, R. R., Huete, A. R., Dickinson, R. E., Knyazikhin, Y., Didan, K., Fu, R., Negrón Juárez, R. I., Saatchi, S. S., Hashimoto, H., Ichii, K., Shabanov, N. V., Tan, B., Ratana, P., Privette, J. L., Morisette, J. T., Vermote, E. F., Roy, D. P., , Wolfe, R. E., et al. (2007). Large seasonal swings in leaf area of Amazon rainforests. Proceedings of the National Academy of Sciences of the United States of America, 104(Issue 12). doi:10.1073/pnas.0611338104
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  Despite early speculation to the contrary, all tropical forests studied to date display seasonal variations in the presence of new leaves, flowers, and fruits. Past studies were focused on the timing of phenological events and their cues but not on the accompanying changes in leaf area that regulate vegetation-atmosphere exchanges of energy, momentum, and mass. Here we report, from analysis of 5 years of recent satellite data, seasonal swings in green leaf area of ≈25% in a majority of the Amazon rainforests. This seasonal cycle is timed to the seasonality of solar radiation in a manner that is suggestive of anticipatory and opportunistic patterns of net leaf flushing during the early to mid part of the light-rich dry season and net leaf abscission during the cloudy wet season. These seasonal swings in leaf area may be critical to initiation of the transition from dry to wet season, seasonal carbon balance between photosynthetic gains and respiratory losses, and litterfall nutrient cycling in moist tropical forests. © 2007 by The National Academy of Sciences of the USA.
• Nagler, P., Jetton, A., Fleming, J., Didan, K., Glenn, E., Erker, J., Morino, K., Milliken, J., & Gloss, S. (2007). Evapotranspiration in a cottonwood (Populus fremontii) restoration plantation estimated by sap flow and remote sensing methods. AGRICULTURAL AND FOREST METEOROLOGY, 144(1-2), 95-110.
• Nagler, P., Jetton, A., Fleming, J., Didan, K., Glenn, E., Erker, J., Morino, K., Milliken, J., & Gloss, S. (2007). Evapotranspiration in a cottonwood (Populus fremontii) restoration plantation estimated by sap flow and remote sensing methods. Agricultural and Forest Meteorology, 144(Issue 1-2). doi:10.1016/j.agrformet.2007.02.002
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  Native tree plantations have been proposed for the restoration of wildlife habitat in human-altered riparian corridors of western U.S. rivers. Evapotranspiration (ET) by riparian vegetation is an important, but poorly quantified, term in river water budgets. Native tree restoration plots will potentially increase ET. We used sap flow sensors and satellite imagery to estimate ET in a 8 ha, cottonwood (Populus fremontii) restoration plot on the Lower Colorado River. Biometric methods were used to scale leaf area to whole trees and stands of trees. This technique was used to validate our estimates of ET obtained by scaling from branch level to stand (or plot) level measurements of ET. Cottonwood trees used 6-10 mm day-1 of water during the peak of the growing season as determined by sap flow sensors, and annual rates scaled by time-series MODIS satellite imagery were approximately 1.2 m year-1. Although irrigation was not quantified, the field had been flood irrigated at 2 week intervals during the 3 years prior to the study, receiving approximately 2 m year-1 of water. A frequency-domain electromagnetic induction survey of soil moisture content showed that the field was saturated (26-28% gravimetric water content) at the 90-150 cm soil depth under the field. Trees were apparently rooted into the saturated soil, and considerable saving of water could potentially be achieved by modifying the irrigation regime to take into account that cottonwoods are phreatophytes. The study showed that cottonwood ET can be monitored by remote sensing methods calibrated with ground measurements with an accuracy or uncertainty of 20-30% in western riparian corridors. © 2007 Elsevier B.V. All rights reserved.
• Nagler, P., Nagler, P., Nagler, P., Jetton, A., Jetton, A., Jetton, A., Fleming, J., Fleming, J., Fleming, J., Didan, K., Didan, K., Didan, K., Glenn, E., Glenn, E., Glenn, E., Erker, J., Erker, J., Erker, J., Morino, K., , Morino, K., et al. (2007). Evapotranspiration in a cottonwood (Populus fremontii) restoration plantation estimated by sap flow and remote sensing methods. Agricultural and Forest Meteorology, 144(1), 95--110.
• Saleska, S. R., Didan, K., Huete, A. R., & da Rocha, H. R. (2007). Amazon forests green-up during 2005 drought. Science (New York, N.Y.), 318(5850), 612.
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  Coupled climate-carbon cycle models suggest that Amazon forests are vulnerable to both long- and short-term droughts, but satellite observations showed a large-scale photosynthetic green-up in intact evergreen forests of the Amazon in response to a short, intense drought in 2005. These findings suggest that Amazon forests, although threatened by human-caused deforestation and fire and possibly by more severe long-term droughts, may be more resilient to climate changes than ecosystem models assume.
• Saleska, S. R., Didan, K., Huete, A. R., & da, R. (2007). Amazon forests green-up during 2005 drought. SCIENCE, 318(5850), 612-612.
• Saleska, S. R., Saleska, S. R., Didan, K., Didan, K., Huete, A. R., Huete, A. R., Da, R., & Da, R. (2007). Amazon forests green-up during 2005 drought. Science, 318(5850), 612--612.
• Brown, M. E., Brown, M. E., Pinz\'on, J. E., Pinz\'on, J. E., Didan, K., Didan, K., Morisette, J. T., Morisette, J. T., Tucker, C. J., & Tucker, C. J. (2006). Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors. IEEE Transactions on geoscience and remote sensing, 44(7), 1787--1793.
• Brown, M. E., Brown, M. E., Pinzon, J. E., Pinzon, J. E., Didan, K., Didan, K., Morisette, J. T., Morisette, J. T., Tucker, C. J., & Tucker, C. J. (2006). Inter-sensor validation of long-term NDVI time series from AVHRR, SPOT-Vegetation, SeaWIFS, MODIS, and Landsat ETM+. IEEE Trans. Geosci. and Remote Sens, 44(7), 1787--1793.
• Brown, M. E., Brown, M. E., Pinzon, J. E., Pinzon, J. E., Didan, K., Didan, K., Morisette, J. T., Morisette, J. T., Tucker, C. J., & Tucker, C. J. (2006). SPECIAL ISSUE PAPERS-Vegetation Indices-Evaluation of the Consistency of Long-Term NDVI Time Series Derived From AVHRR, SPOT-Vegetation, SeaWiFS, MODIS, And Landsat ETM+ Sensors. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1787--1793.
• Brown, M. E., Pinzon, J. E., Didan, K., T, M. J., & Tucker, C. J. (2006). Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-Vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 44(7), 1787-1793.
• Brown, M. E., Pinzón, J. E., Didan, K., Morisette, J. T., & Tucker, C. J. (2006). Evaluation of the consistency of Long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and landsat ETM+ sensors. IEEE Transactions on Geoscience and Remote Sensing, 44(Issue 7). doi:10.1109/tgrs.2005.860205
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  This paper evaluates the consistency of the Normalized Difference Vegetation Index (NDVI) records derived from Advanced Very High Resolution Radiometer (AVHRR), SPOT-Vegetation, SeaWiFS, Moderate Resolution Imaging Spectroradiometer, and Landsat ETM+. We used independently derived NDVI from atmospherically corrected ETM+ data at 13 Earth Observation System Land Validation core sites, eight locations of drought, and globally aggregated one-degree data from the four coarse resolution sensors to assess the NDVI records agreement. The objectives of this paper are to: 1) compare the absolute and relative differences of the vegetation signal across these sensors from a user perspective, and, to a lesser degree, 2) evaluate the possibility of merging the AVHRR historical data record with that of the more modern sensors in order to provide historical perspective on current vegetation activities. The statistical and correlation analyses demonstrate that due to the similarity in their overall variance, it is not necessary to choose between the longer time series of AVHRR and the higher quality of the more modern sensors. The long-term AVHRR-NDVI record provides a critical historical perspective on vegetation activities necessary for global change research and, thus, should be the basis of an Intel-calibrated, sensor-independent NDVI data record. This paper suggests that continuity is achievable given the similarity between these datasets. © 2006 IEEE.
• Brown, M., Pinzon, J., Didan, K., Morisette, J., & Tucker, C. (2006). SPECIAL ISSUE PAPERS-Vegetation Indices-Evaluation of the Consistency of Long-Term NDVI Time Series Derived From AVHRR, SPOT- Vegetation, SeaWiFS, MODIS, And Landsat ETM+ Sensors. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1787--1793.
• Didan, K., & Huete, A. (2006). MODIS vegetation index product series collection 5 change summary. TBRS Lab, The University of Arizona.
• Huete, A. R., Didan, K., Shimabukuro, Y. E., Ratana, P., Saleska SR, ., Hutyra, L. R., Yang, W. Z., Nemani, R. R., & Myneni, R. (2006). Amazon rainforests green-up with sunlight in dry season. GEOPHYSICAL RESEARCH LETTERS, 33(6).
• Huete, A. R., Didan, K., Shimabukuro, Y. E., Ratana, P., Saleska, S. R., Hutyra, L. R., Yang, W., Nemani, R. R., & Myneni, R. (2006). Amazon rainforests green-up with sunlight in dry season. Geophysical Research Letters, 33(Issue 6). doi:10.1029/2005gl025583
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  Metabolism and phenology of Amazon rainforests significantly influence global dynamics of climate, carbon and water, but remain poorly understood. We analyzed Amazon vegetation phenology at multiple scales with Moderate Resolution Imaging Spectroradiometer (MODIS) satellite measurements from 2000 to 2005. MODIS Enhanced Vegetation Index (EVI, an index of canopy photosynthetic capacity) increased by 25% with sunlight during the dry season across Amazon forests, opposite to ecosystem model predictions that water limitation should cause dry season declines in forest canopy photosynthesis. In contrast to intact forests, areas converted to pasture showed dry-season declines in EVI-derived photosynthetic capacity, presumably because removal of deep-rooted forest trees reduced access to deep soil water. Local canopy photosynthesis measured from eddy flux towers in both a rainforest and forest conversion site confirm our interpretation of satellite data, and suggest that basin-wide carbon fluxes can be constrained by integrating remote sensing and local flux measurements. Copyright 2006 by the American Geophysical Union.
• Huete, A. R., Huete, A. R., Didan, K., Didan, K., Shimabukuro, Y. E., Shimabukuro, Y. E., Ratana, P., Ratana, P., Saleska, S. R., Saleska, S. R., Hutyra, L. R., Hutyra, L. R., Yang, W., Yang, W., Nemani, R. R., Nemani, R. R., Myneni, R., & Myneni, R. (2006). Amazon rainforests green-up with sunlight in dry season. Geophysical research letters, 33(6).
• Huete, A. R., Huete, A. R., Didan, K., Didan, K., Shimabukuro, Y. E., Shimabukuro, Y. E., Ratana, P., Ratana, P., Saleska, S. R., Saleska, S. R., Hutyra, L. R., Hutyra, L. R., Yang, W., Yang, W., Nemani, R. R., Nemani, R. R., Myneni, R., & Myneni, R. (2006). Hydrology and Land Surface Studies-L06405-Amazon rainforests green-up with sunlight in dry season (DOI 10. 1029/2005GL025583). Geophysical Research Letters, 33(6).
• Huete, A. R., Huete, A. R., Huete, A. R., Huemmrich, K. F., Huemmrich, K. F., Huemmrich, K. F., Miura, T., Miura, T., Miura, T., Xiao, X., Xiao, X., Xiao, X., Didan, K., Didan, K., Didan, K., Leeuwen, W., Leeuwen, W., Leeuwen, W., Hall, F., , Hall, F., et al. (2006). Vegetation Index greenness global data set. NASA ESDR/CDR.
• Huete, A. R., Miura, T., Kim, Y., Didan, K., & Privette, J. (2006). Assessments of multisensor vegetation index dependencies with hyperspectral and tower flux data. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY III, 6298.
• Huete, A., Didan, K., Leeuwen, W., & Vermote, E. (2006). The use of vegetation indices for coarse resolution monitoring of terrestrial vegetation with SeaWiFS sensor.
• Morisette, J. T., Nickeson, J. E., Garrigues, S., Baret, F., Huete, A., Didan, K., Miura, T., Leeuwen, W., & Friedl, M. (2006). Report from the CEOS Land Product Validation topical workshop on the Validation of global vegetation indices and their time series. Earth Obs, 18(6).
• Ratana, P., Huete, A. R., & Didan, K. (2006). MODIS EVI-based Variability in Amazon Phenology across the Rainforest-Cerrado Ecotone. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 1942-1944.
• Saleska, S., Pathmadevan, M., Huete, A., Cardoso, F., Rocha, H., Didan, K., Fitzjarrald, D., Goulden, M., Kruijt, B., Manzi, A., & others, . (2006). THE EFFECTS OF LAND USE CHANGE AND OF SEASONAL VARIATIONS IN CLIMATE ON GPP ACROSS THE AMAZON BASIN: AN ANALYSIS COMBINING DATA FROM MODIS SATELLITES AND FROM A NETWORK OF FLUX TOWERS.
• Brown, M. E., Pinzon, J. E., Morisette, J. T., Didan, K., & Tucker, C. J. (2005). Inter-sensor validation of long-term NDVI time series from AVHRR, SPOT-Vegetation, SeaWIFS, MODIS, and Landsat ETM+. IEEE Transactions Geoscience and Remote Sensing, in review.
• Didan, K., Novo, E. M., Ferreira, L. G., Barbosa, C., Carvalho, C., Sano, E. E., Shimabukuro, Y., Huete, A., Potter, C., Roberts, D., Hess, L. L., Melack, J. J., Yoshioka, H., Klooster, S., Kumar, V., Myneni, R., Ratana, P., & Miura, T. (2005). Técnicas avançadas de sensoriamento remoto aplicadas ao estudo de mudanças climáticas e ao funcionamento dos ecossistemas amazônicos. Acta Amazonica, 35(2), 259-272. doi:10.1590/s0044-59672005000200016
• Ferreira, N. C., Ferreira, L. G., Huete, A., Didan, K., & Miura, T. (2005). A GIS based change detection system for the Amazon forest: Advantages and implications for the environmental monitoring and regional sustainable development. IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 3474-3476.
• Moraes Novo, E. M., Ferreira, L. G., Barbosa, C., Carvalho, C., Sano, E. E., Shimabukuro, Y., Huete, A., Potter, C., Roberts, D. A., Hess, L. L., & others, . (2005). T{\'e}cnicas avan{\c{c}}adas de sensoriamento remoto aplicadas ao estudo de mudan{\c{c}}as clim{\'a}ticas e ao funcionamento dos ecossistemas amaz{\^o}nicos..
• Novo, E., Ferreira, L. G., Barbosa, C., Carvalho, C., Sano, E. E., Shimabukuro, Y., Huete, A., Potter, C., Roberts, D., Hess, L. L., & others, . (2005). T\'ecnicas avan\c{c}adas de sensoriamento remoto aplicadas ao estudo de mudan\c{c}as clim\'aticas e ao funcionamento dos ecossistemas amaz\^onicos. Acta Amazonica, 35(2), 259--272.
• Didan, K., & Huete, A. (2004). Analysis of the global vegetation dynamic metrics using MODIS vegetation index and land cover products. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7, 2058-2061.
• Gonz\'alez, L. D., Gonz\'alez, L. D., Huete, A., Huete, A., Kim, H., Kim, H., Didan, K., & Didan, K. (2004). Estimation of the fraction of canopy cover from multispectral data to be used in a water soil erosion prediction model. Gayana (Concepci\'on), 68(2), 239--245.
• Gonz{\'a}lez Lanteri, D., Huete, A., Kim, H., & Didan, K. (2004). Estimation of the fraction of canopy cover from multispectral data to be used in a water soil erosion prediction model. Gayana (Concepci{\'o}n), 68(2), 239--245.
• Huete, A., & Didan, K. (2004). MODIS seasonal and inter-annual responses of semiarid ecosystems to drought in the southwest USA. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7, 1538-1541.
• Gao, X., Huete, A. R., & Didan, K. (2003). Multisensor comparisons and validation of MODIS vegetation indices at the semiarid Jornada experimental range. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 41(10), 2368-2381.
• Gao, X., Huete, A. R., & Didan, K. (2003). Multisensor comparisons and validation of MODIS vegetation indices at the semiarid Jornada experimental range. IEEE Transactions on Geoscience and Remote Sensing, 41(10), 2368--2381.
• Gao, X., Huete, A. R., & Didan, K. (2003). Multisensor comparisons and validation of MODIS vegetation indices at the semiarid jornada experimental range. IEEE Transactions on Geoscience and Remote Sensing, 41(Issue 10). doi:10.1109/tgrs.2003.813840
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  Vegetation indices (VIs) are one of the standard science products available from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the Earth Observing System (EOS) Terra platform, launched in December 1999. An important requirement of MODIS science products is that they be rigorously validated. In this study, we conducted a site-intensive MODIS VI product validation at the semiarid Jornada Experimental Range, New Mexico, an EOS Land Validation Core Site. Our validation approach involved scaling up independent fine-grained datasets, including ground and airborne radiometry, and high spatial resolution imagery [Enhanced Thematic Mapper Plus (ETM+)], to the coarser MODIS spatial resolutions. The MODIS VIs were evaluated with respect to their radiometric performances, the uncertainties of the compositing methodology, and their capabilities to depict seasonal variations in vegetation. The MODIS Quick Airborne Looks (MQUALS) radiometric package was found useful in up-scaling field in situ measurements to coarser spatial resolutions. Both single-day nadir-view and 16-day composited MODIS reflectances and VIs matched well with the nadir-based atmosphere-free MQUALS observations for all the land cover types found at Jornada, with the root mean squared deviations less than 0.03. The MODIS 16-day composited products also performed well with the single-day nadir-view MODIS data, despite some off-nadir view angles and uncertainties with the cloud mask algorithm. The quality assurance (QA)-based constrained view angle-maximum value composite (CV-MVC) algorithm successfully filtered out much of the cloud and aerosol contaminated observations and helped to minimize view angle-related problems. The MODIS seasonal VI profiles also matched quite well with the other multiple sensor datasets obtained at the finer spatial resolutions. The QA information was found to be crucial in achieving consistent spatial and temporal comparisons of global vegetation conditions and for deriving accurate depictions of important phenological features in multitemporal MODIS data. The results of this validation study over the Jornada Experimental Range demonstrated the accuracy, reliability, and science utility of the MODIS VI products in arid and semiarid areas.
• Huete, A., Ratana, P., Didan, K., Shimabukuro, Y., Barbosa, H., Ferreira, L., & MIURA, T. (2003). Seasonal biophysical dynamics along an Amazon eco-climatic gradient using MODIS vegetation indices. Anais Xi SBSR, 05--10, April, 665--672.
• Kaurivi, J., Huete, A. R., & Didan, K. (2003). Multitemporal MODIS-EVI relationships with precipitation and temperature at the Santa Rita experimental range. SANTA RITA EXPERIMENTAL RANGE: 100 YEARS (1903 TO 2003) OF ACCOMPLISHMENTS AND CONTRIBUTIONS, CONFERENCE PROCEEDINGS, 121-124.
• Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. REMOTE SENSING OF ENVIRONMENT, 83(1-2), 195-213.
• Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(Issue 1-2). doi:10.1016/s0034-4257(02)00096-2
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  We evaluated the initial 12 months of vegetation index product availability from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Earth Observing System-Terra platform. Two MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), are produced at 1-km and 500-m resolutions and 16-day compositing periods. This paper presents an initial analysis of the MODIS NDVI and EVI performance from both radiometric and biophysical perspectives. We utilize a combination of site-intensive and regionally extensive approaches to demonstrate the performance and validity of the two indices. Our results showed a good correspondence between airborne-measured, top-of-canopy reflectances and VI values with those from the MODIS sensor at four intensively measured test sites representing semi-arid grass/shrub, savanna, and tropical forest biomes. Simultaneously derived field biophysical measures also demonstrated the scientific utility of the MODIS VI. Multitemporal profiles of the MODIS VIs over numerous biome types in North and South America well represented their seasonal phenologies. Comparisons of the MODIS-NDVI with the NOAA-14, 1-km AVHRR-NDVI temporal profiles showed that the MODIS-based index performed with higher fidelity. The dynamic range of the MODIS VIs are presented and their sensitivities in discriminating vegetation differences are evaluated in sparse and dense vegetation areas. We found the NDVI to asymptotically saturate in high biomass regions such as in the Amazon while the EVI remained sensitive to canopy variations. © 2002 Elsevier Science Inc. All rights reserved.
• Huete, A., Huete, A., Didan, K., Didan, K., Miura, T., Miura, T., Rodriguez, E. P., Rodriguez, E. P., Gao, X., Gao, X., Ferreira, L. G., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote sensing of environment, 83(1-2), 195--213.
• RATANA, P., HUETE, A., MIURA, T., DIDAN, K., FERREIRA, L., & SANO, E. (2002). CHARACTERIZATION OF BIOPHYSICAL VEGETATION-SOIL DYNAMICS ALONG AN ECO-CLIMATIC BRAZILIAN TRANSECT WITH MODIS VEGETATION INDICES.
• Huete, A., Didan, K., Miura, T., Yoshioka, H., Ferreira, L., Gao, X., & Batchily, K. (2001). Validation of the MODIS vegetation indices over a global set of test sites: preliminary results. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY II, 4171, 194-203.
• Miura, T., Didan, K., Huete, A. R., & Rodriguez, E. P. (2001). A performance evaluation of the MODIS vegetation index compositing algorithm. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 1812-1814.
• Huete, A., Didan, K., Shimabokuro, Y., Ferreira, L., & Rodriguez, E. (2000). Regional Amazon Basin and global analyses of MODIS vegetation indices: Early results and comparisons with AVHRR. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 536-538.
• Justice, C., Townshend, J., Vermote, E., Sohlberg, R., Descloitres, J., Roy, D., Hall, D., Salomonson, V., Riggs, G., Huete, A., Didan, K., Miura, T., Wan, Z. M., Strahler, A., Schaaf, C., Myneni, R., Running, S., Glassy, J., Nemani, R., , El, S. N., et al. (2000). Preliminary land surface products from the NASA moderate resolution imaging spectroradiometer (MODIS). IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 1157-1162.
• Miura, T., Huete, A. R., Didan, K., van, L. W., & Yoshioka, H. (2000). An assessment of the MODIS vegetation index compositing algorithm using quality assurance flags and sun/view angles. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 545-547.
• Didan, K. (1999). Prototype geographic information system for agricultural water quality management.
• Huete, A., Didan, K., van, L. W., & Vermote, E. (1999). Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation. REMOTE SENSING FOR EARTH SCIENCE, OCEAN, AND SEA ICE APPLICATIONS, 3868, 141-151.
• Yitayew, M., Didan, K., & Reynolds, C. (1999). Microcomputer based low-head gravity-flow bubbler irrigation system design. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 22(1), 29-39.
• Yitayew, M., Didan, K., & Reynolds, C. (1999). Microcomputer based low-head gravity-flow bubbler irrigation system design. Computers and Electronics in Agriculture, 22(Issue 1). doi:10.1016/s0168-1699(98)00041-6
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  Low-head bubbler irrigation systems are microirrigation systems that are based on gravity flow, operate at pressure heads as low as 1 m, and require no filtration or pumping. Despite their simplicity and advantages, low-head bubbler systems are not used in many countries. This is mainly due to lack of a well-defined design procedure to facilitate design and installation. A computer program called BUBBLER was developed for low-head gravity bubbler irrigation system design and analysis. It is a PC-based program that works under DOS environment. It takes minimal data input, and solves the hydraulics of low-head gravity distribution of water from multiple outlet pipe systems. The input includes elevation of the water source, crop and row spacing, field size, and elevation of the four corners of the field. The output includes the mainline, submain, and lateral sizes, delivery hose size, delivery hose elevations, and cost estimates. An example design is presented. The program can be used to evaluate alternative designs in minutes to decide the physical and economic feasibility of the system. Low-head bubbler irrigation systems are microirrigation systems that are based on gravity flow, operate at pressure heads as low as 1 m, and require no filtration or pumping. Despite their simplicity and advantages, low-head bubbler systems are not used in many countries. This is mainly due to lack of a well-defined design procedure to facilitate design and installation. A computer program called BUBBLER was developed for low-head gravity bubbler irrigation system design and analysis. It is a PC-based program that works under DOS environment. It takes minimal data input, and solves the hydraulics of low-head gravity distribution of water from multiple outlet pipe systems. The input includes elevation of the water source, crop and row spacing, field size, and elevation of the four corners of the field. The output includes the mainline, submain, and lateral sizes, delivery hose size, delivery hose elevations, and cost estimates. An example design is presented. The program can be used to evaluate alternative designs in minutes to decide the physical and economic feasibility of the system.
• Yitayew, M., Didan, K., & Reynolds, C. (1999). Microcomputer based low-head gravity-flow bubbler irrigation system design. Computers and electronics in agriculture, 22(1), 29--39.
• van, L. W., Huete, A. R., Laing, T. W., & Didan, K. (1999). Vegetation change monitoring with spectral indices: The importance of view and sun angle standardized data. REMOTE SENSING FOR EARTH SCIENCE, OCEAN, AND SEA ICE APPLICATIONS, 3868, 445-454.
• Huete, A. R., Kerola, D., Didan, K., van, L. W., & Ferreira, L. (1998). Terrestrial biosphere analysis of SeaWiFS data over the Amazon region with MODIS and GLI prototype vegetation indices. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5, 785-787.
• Kaurivi, J. Z., Huete, A. R., & Didan, K. (1998). Multitemporal MODIS-EVI relationships with precipitation and temperature at the Santa Rita experimental range. Proceedings RMRS., 121.
• Miura, T., Huete, A. R., Van Leeuwen, W. J., & Didan, K. (1998). Vegetation detection through smoke-filled AVIRIS images: An assessment using MODIS band passes. Journal of Geophysical Research Atmospheres, 103(Issue 24). doi:10.1029/98jd00051
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  Radiometrically calibrated, Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) images acquired during the Smoke, Clouds and Radiation in Brazil (SCAR-B) experiment were processed to simulate vegetation index (VI) imagery with the Moderate Resolution Imaging Spectroradiometer (MODIS) band passes. Data sets were extracted from tropical forested areas, burned fields, and shrub/grassland areas over both clear and variable smoke conditions with average aerosol optical thickness (AOT) values at 0.67 Jim of 0.14, 1.1, and 1.9, respectively. The atmospheric resistant VIs and various middle-infrared (MIR) derived VIs were then analyzed with respect to their ability to minimize atmospheric "smoke" contamination. The atmospheric resistant VIs utilized the blue band for correction of the red band, while the MIR-derived VIs used the MIR region (1.3 - 2.5 μm) as a substitute for the red band since it is relatively transparent to smoke, yet remains sensitive to green vegetation. The performance of these indices were assessed and compared with the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI). Over the tropical forests the NDVI and SAVI had high relative errors over all smoke-filled atmospheric conditions (50-80% error), while the atmospheric resistant VIs resulted in a 50-80% relative error only over thick levels of smoke. Over optically thin levels (AOT at 0.67 μm < 1.1) they performed much better with a 20-40% relative error. The MIR-derived VIs, on the other hand, outperformed all other VIs over forested areas (≤ 5% error). However, over burned fields with minimal amounts of green biomass the MIR-derived VIs had the highest levels of error due to smoke (> 40%), while all other indices had errors below 20%. In the shrub/grassland site, the atmospheric resistant indices behaved similarly with the MIR-derived indices, with both less sensitive to smoke than the NDVI and SAVI. We conclude that the MIR indices, particularly with MODIS band 7 (2.13 μm), are useful in vegetation monitoring over forested areas during the burning season. However, they did not perform well in areas outside of forests such as burned areas and shrub/grassland. Copyright 1998 by the American Geophysical Union.
• Miura, T., Huete, A. R., van, L. W., & Didan, K. (1998). Vegetation detection through smoke-filled AVIRIS images: An assessment using MODIS band passes. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 103(D24), 32001-32011.
• Miura, T., Huete, A., Leeuwen, W. v., & Didan, K. (1998). Special Section: Smoke, Clouds, and Radiation-Brazil-Vegetation detection through smoke-filled AVIRIS images: An assessment using MODIS band passes (Paper 98JD00051). Journal of Geophysical Research-Part D-Atmospheres-Printed Edition, 103(24), 32001--32012.
• Miura, T., Miura, T., Miura, T., Huete, A. R., Huete, A. R., Huete, A., Van, L. W., Van, L. W., Leeuwen, W., Didan, K., Didan, K., & Didan, K. (1998). Vegetation detection through smoke-filled AVIRIS images: An assessment using MODIS band passes. Journal of Geophysical Research: Atmospheres, 103(D24), 32001--32011.
• van, L. W., Huete, A. R., Didan, K., & Laing, T. (1997). Modeling bi-directional reflectance factors for different land cover types and surface components to standardize vegetation indices. PHYSICAL MEASUREMENTS AND SIGNATURES IN REMOTE SENSING, VOLS 1 AND 2, 373-380.
• Didan, K. (1991). Expert system for drip irrigation design.

Proceedings Publications

• Nagler, P., Wildermuth, L., Shafroth, P., Gonzalez-Sargas, E., Gomez-Sapiens, M., Jimenez-Hernandez, E., Barreto-Mu\~noz, A., & Didan, K. (2025). Restoration Efforts in Riparian Ecosystems in the Colorado River Delta as Measured by Greenness Indices and Evapotranspiration (ET) and using Hydrology, Avian Studies and ET Change Maps. In EGU General Assembly Conference Abstracts.
• Nagler, P., Sall, I., Barreto-Mu\~noz, A., & Didan, K. (2024). Quantitative Trends of Actual Evapotranspiration in the Upper San Pedro River Riparian Corridor. In Geological Society of America Abstracts, 56.
• Jimenez-Hernandez, E., Didan, K., & Barreto-munoz, A. (2023). Monitoring Land Cover Dynamics with Machine Learning Assisted Classification and Multitemporal Remote Sensing in the Tropical Forest of Yucatan Peninsula, Mexico.. In AGU Fall Meeting Abstracts, 2023.
• Nagler, P. L., Sall, I., Barreto-Mu\~noz, A., & Didan, K. (2023). Riparian Corridors of the Sonoran Desert: New Estimates of Riparian Evapotranspiration Change Using Daymet and Landsat Vegetation Index Methods. In AGU Fall Meeting Abstracts, 2023.
• Nagler, P., Barreto-Mu\~noz, A., Sall, I., & Didan, K. (2023). Four Riparian Corridors in the Lower Colorado River Basin: New Estimates of Riparian Evapotranspiration and Consumptive Water Use. In EGU General Assembly Conference Abstracts.
• Rodriguez, J., Didan, K., Tong, D., Slack, D. C., & Yitayew, M. (2016, April 4-8, 2016). Downscaling MODIS Evapotranspiration via Area-to-Point Kriging in Wellton-Mohawk Irrigation and Drainage District, Yuma, AZ. In INNOVATION MATCH MX 2015 – 2016. 1er Foro International de Talento Mexicano. Articulanto Conocimento Global., N/A.
• Abbasi, N., Nouri, H., Nagler, P., Chavoshi, B. S., Barreto-Mu\~noz, A., Opp, C., Didan, K., & Siebert, S. (2022). How Changes in Harvested Area Impacts the Actual Evapotranspiration of Croplands Using Optical Remote Sensing. In EGU General Assembly Conference Abstracts.
• Barreto-munoz, A., Didan, K., Nagler, P., & Sall, I. (2022, 03).

  ESTIMATES OF EVAPOTRANSPIRATION AND CONSUMPTIVE WATER USE FOR THE RIPARIAN AREAS OF THE LITTLE COLORADO RIVER IN THE DRYLANDS OF NORTHEAST ARIZONA, USA

  . In The Annual Cordilleran/72nd Annual Rocky Mountain Section Meeting - 2022.
• Jarchow, C. J., Barreto-munoz, A., Combs, T., & Didan, K. (2022). Unmanned Aircraft System Multispectral Data Calibration and Evaluation. In AGU Fall Meeting Abstracts, 2022.
• Jarchow, C. J., Barreto-munoz, A., Combs, T., & Didan, K. (2022). Unmanned Aircraft System Multispectral Data Calibration and Evaluation. In Fall Meeting 2022.
• Nagler, P. L., Barreto-munoz, A., Sall, I., & Didan, K. (2022). Evaluation of Riparian Vegetation Along the Free-flowing San Pedro River and Nearly-unaltered Virgin River with a New Evapotranspiration Algorithm using Gridded Daymet and Landsat EVI2 to Monitor Trends over Two Decades. In AGU Fall Meeting Abstracts, 2022.
• Nagler, P. L., Sall, I., Barreto-munoz, A., Didan, K., Abbasi, N., Nouri, H., Schauer, M., & Senay, G. B. (2022). Evaluation of two types of evapotranspiration methods in riparian vegetation with the two-band Enhanced Vegetation Index and SSEBop in restored and unrestored reaches of the Lower Colorado River in the USA. In AGU Fall Meeting Abstracts, 2022.
• Nagler, P., Barreto-Mu\~noz, A., Sall, I., & Didan, K. (2022). Consumptive Water Use for the Riparian Areas of the Little Colorado River within Navajo Nation. In EGU General Assembly Conference Abstracts.
• Abbasi, N., Nouri, H., Chavoshi, B. S., Nagler, P., Opp, C., Barreto, M. A., Didan, K., & Siebert, S. (2021). Inter-comparison of remotely-sensed actual evapotranspiration products in the Zayandehrud river basin, Iran. In EGU General Assembly Conference Abstracts.
• Chavoshi, B. S., Nouri, H., Nagler, P., Barreto-Mu\~noz, A., & Didan, K. (2021). Spatio-temporal changes in water demand of urban greenery. In EGU General Assembly Conference Abstracts.
• Melichar, M., Didan, K., Barreto-munoz, A., Duberstein, J., Thomas, K., & Nagler, P. L. (2021). A Machine Learning and Data Fusion Approach for Classifying High-Resolution Operational Land Imager Spectral and Vegetation Dynamic Data in Support of Habitat Mapping in the Transboundary Region of the Sonoran and Mojave Deserts.. In AGU Fall Meeting 2021.
• Nagler, P., Barreto-Mu\~noz, A., Chavoshi, B. S., Nouri, H., Jarchow, C., & Didan, K. (2021). Changes in Water Use on the Lower Colorado River in the USA from 2000-2020. In EGU General Assembly Conference Abstracts.
• Nagler, P., Didan, K., & Barreto-Munoz, A. (2021). Remotely-sensed measurements of declining riparian vegetative cover and available water in southwestern riparian corridors. In 2020 ESA Annual Meeting (August 3-6).
• Nagler, P., Sall, I., Barreto-munoz, A., & Didan, K. (2021). Riparian ecosystem trends in greenness, evapotranspiration, and drought for restored and unrestored river reaches in the Colorado River delta. In AGU Fall Meeting Abstracts, 2021.
• Nagler, P., Sall, I., Barreto-munoz, A., Nouri, H., Chavoshi, S., Gomez-Sapiens, M., & Didan, K. (2021). Effect of restoration on riparian reach-level vegetation greenness and evapotranspiration in relation to drought in the Colorado River delta. In AGU Fall Meeting Abstracts, 2021.
• Nouri, H., Chavoshi, B. S., Nagler, P., Barreto, M. A., Didan, K., & Hoekstra, A. (2021). Changes in the water footprint of urban green spaces over time. In EGU General Assembly Conference Abstracts.
• Nagler, P. L., Barreto-munoz, A., Chavoshi Borujeni, S., Jarchow, C., Gomez-Sapiens, M., Nouri, H., Herrmann, S., & Didan, K. (2020). Response to Surface Flow: Vegetation Greenness and Water Use in the Colorado River Delta since 2000. In AGU Fall Meeting Abstracts, 2020.
• Nagler, P., Barreto-Mu\~noz, A., Didan, K., Jarchow, C., Chavoshi, B. S., Nouri, H., Herrmann, S., & G\'omez-Sapiens, M. (2020). Short and long-term analyses of plant greenness and evapotranspiration dynamics in the riparian zone of the Colorado River Delta before and after the 2014 Minute 319 environmental pulse flow. In EGU General Assembly Conference Abstracts.
• Barreto-munoz, A., Nagler, P. L., Jarchow, C. J., Didan, K., Shafroth, P. B., & Gonzalez, E. (2019). Using time-series satellite vegetation indices to assess fractional plant cover changes and ecological recovery for riparian restoration sites on the Colorado Plateau. In AGU Fall Meeting Abstracts, 2019.
• Combs, T., Didan, K., Barreto-munoz, A., Jarchow, C. J., Gomez-Sapiens, M., & Nagler, P. L. (2019). Unmanned Aerial Vehicle based Structure from Motion for Estimating Biocontrol Impacts on Riparian Tamarisk. In AGU Fall Meeting Abstracts, 2019.
• Gomez-Sapiens, M., Schlatter, K., Melendez, A., Hernandez-Lopez, D., Didan, K., Barreto-munoz, A., & Nagler, P. L. (2019). Vegetation indices trends in restoration and non-restored riparian vegetation sites: Exploring the potential to detect changes in foliar cover through Landsat and UAV vegetation indices in the Colorado River Delta, Mexico.. In AGU Fall Meeting 2019.
• Nagler, P. L., Gomez-Sapiens, M., Schlatter, K., Melendez, A., Hernandez-Lopez, D., Didan, K., & Barreto-munoz, A. (2019). Vegetation indices trends in restoration and non-restored riparian vegetation sites: Exploring the potential to detect changes in foliar cover through Landsat and UAV vegetation indices in the Colorado River Delta, Mexico.. In AGU Fall Meeting Abstracts, 2019.
• Nagler, P. L., Jarchow, C., Barreto-munoz, A., Herrmann, S. M., & Didan, K. (2019). Characterizing evapotranspiration dynamics in the riparian zone of the Colorado River Delta to evaluate ecosystem changes in response to the Minute 319 environmental pulse flow to Mexico. In AGU Fall Meeting Abstracts, 2019.
• Nagler, P. L., Nouri, H., Chavoshi Borujeni, S., Barreto-munoz, A., Didan, K., Alaghmand, S., & Galindo, A. (2019). Impact of the spatial resolution of satellite images on the evapotranspiration estimation of urban green spaces using optical remote sensing. In AGU Fall Meeting Abstracts, 2019.
• Nagler, P., Jarchow, C., Munez, A. B., & Didan, K. (2019). Remotely Sensed Evapotranspiration in the Lower Colorado River Delta in Response to Environmental Pulse Flows.. In Geophysical Research Abstracts, 21.
• Nouri, H., Nagler, P. L., Borujeni, S. C., Barreto-munoz, A., Didan, K., Alaghmand, S., & Galindo, A. (2019). Impact of the spatial resolution of satellite images on the evapotranspiration estimation of urban green spaces using optical remote sensing. In Fall Meeting of the American-Geophysical-Union 2019.
• Nouri, H., Nagler, P., Borujeni, S. C., Jarchow, C., Munez, A. B., & Didan, K. (2019). Effects of spatial resolution of satellite images on the remote sensing-based evapotranspiration estimation of urban greenery.. In Geophysical Research Abstracts, 21.
• Slack P,E., D. C., Didan, K., Nichols, M., & Cameron, D. (2019, September). A Hydrologic Engineering Analysis of a Failed Rangeland Water Control Structure on the Buenos Aires National Wildlife Refuge. In V Congresso Nacional de Riego y Drenaje, COMEII 2019., 15p.
• Nagler, P. L., Jarchow, C. J., Barreto-munoz, A., & Didan, K. (2018). Environmental Pulse Flows as a Tool for Restoration of Plant Communities: A Case Study of Remote Sensing Methods to Measure Greenness and Evapotranspiration in the Lower Colorado River Delta. In AGU Fall Meeting Abstracts, 2018.
• Wang, X., Yan, D., Dannenberg, M. P., Jones, M., Kimball, J., Moore, D. J., Van, L., Didan, K., & Smith, W. K. (2018). Comparisons of Global Land Surface Phenology Derived from Vegetation Greenness, Optical Depth, and Solar-induced Chlorophyll Fluorescence. In AGU Fall Meeting Abstracts, 2018.
• Marey, H. S., Ichoku, I., Hashisho Sr, ,., Didan, K., & Gille, J. C. (2016). Analysis of Alberta forest fire events during the 2016 El Nino burning season. In AGU Fall Meeting Abstracts, 2016.
• Nagler, P. L., Glenn, E., Jarchow, C., Barreto-munoz, A., Didan, K., Nouri, H., Anderson, S., & Doody, T. (2015). Estimating wide-area evapotranspiration at multiple scales using optical vegetation index methods. In AGU Fall Meeting Abstracts, 2015.
• Barreto-munoz, A., Barreto-munoz, A., Didan, K., Didan, K., Miura, T., Miura, T., Tsend-Ayush, J., & Tsend-Ayush, J. (2014). Version 4 of the Vegetation Index and Phenology Earth Science Data Records. In AGU Fall Meeting Abstracts, 2014.
• Barreto-munoz, A., Didan, K., Miura, T., & Tsend-Ayush, J. (2014). Version 4 of the Vegetation Index and Phenology Earth Science Data Records. In AGU Fall Meeting Abstracts, 1.
• Didan, K. (2014). Multi-Sensor Long-Term Data Records of Land Surface Parameters for Global Change Research II. In 2014 AGU Fall Meeting.
• Didan, K., & Barreto-munoz, A. (2014). A Multi-sensor Remote Sensing Study of the Dynamic of the Nile Basin Vegetation Cover. In AGU Fall Meeting Abstracts, 1.
• Didan, K., Didan, K., Barreto-munoz, A., & Barreto-munoz, A. (2014). A Multi-sensor Remote Sensing Study of the Dynamic of the Nile Basin Vegetation Cover. In AGU Fall Meeting Abstracts, 2014.
• Didan, K., Miura, T., & Van, L. (2014). Multi-Sensor Long-Term Data Records of Land Surface Parameters for Global Change Research I Posters. In 2014 AGU Fall Meeting.
• Didan, K., Barreto-munoz, A., Miura, T., & Tsend-Ayush, J. (2013). A 30-Year Multi-Sensor Vegetation Index and Land Surface Phenology Data Record: Methods Challenges and Potentials. In AGU Fall Meeting Abstracts, 1.
• Didan, K., Didan, K., Barreto-munoz, A., Barreto-munoz, A., Miura, T., Miura, T., Tsend-Ayush, J., & Tsend-Ayush, J. (2013). A 30-Year Multi-Sensor Vegetation Index and Land Surface Phenology Data Record: Methods Challenges and Potentials. In AGU Fall Meeting Abstracts, 2013.
• Kim, Y., Kim, Y., Kimball, J. S., Kimball, J. S., Didan, K., & Didan, K. (2013). Satellite prediction of spring frost impacts on vegetation growth and productivity within the conterminous US. In AGU Fall Meeting Abstracts, 2013.
• Kim, Y., Kimball, J., & Didan, K. (2013). Satellite prediction of spring frost impacts on vegetation growth and productivity within the conterminous US. In AGU Fall Meeting Abstracts, 1.
• Kimball, J. S., Kimball, J. S., Kim, Y., Kim, Y., Zhang, K., Zhang, K., Didan, K., Didan, K., Velicogna, I., Velicogna, I., McDonald, K. C., & McDonald, K. C. (2013). Satellite Detection and Attribution of Divergent Northern Vegetation Growth Responses to Lengthening Non-Frozen Seasons. In AGU Fall Meeting Abstracts, 2013.
• Kimball, J., Kim, Y., Zhang, K., Didan, K., Velicogna, I., & McDonald, K. (2013). Satellite Detection and Attribution of Divergent Northern Vegetation Growth Responses to Lengthening Non-Frozen Seasons. In AGU Fall Meeting Abstracts, 1.
• Tsend-Ayush, J., Miura, T., Didan, K., & Barreto-munoz, A. (2013). Generating a long-term daily NDVI data record from NOAA AVHRR AND TERRA MODIS. In AGU Fall Meeting Abstracts, 1.
• Tsend-Ayush, J., Tsend-Ayush, J., Miura, T., Miura, T., Didan, K., Didan, K., Barreto-munoz, A., & Barreto-munoz, A. (2013). Generating a long-term daily NDVI data record from NOAA AVHRR AND TERRA MODIS. In AGU Fall Meeting Abstracts, 2013.
• Yitayew, M., Didan, K., & Barreto-munoz, A. (2013). Nile Basin Vegetation Response and Vulnerability to Climate Change: A Multi-Sensor Remote Sensing Approach. In AGU Fall Meeting Abstracts, 1.
• Yitayew, M., Yitayew, M., Didan, K., Didan, K., Barreto-munoz, A., & Barreto-munoz, A. (2013). Nile Basin Vegetation Response and Vulnerability to Climate Change: A Multi-Sensor Remote Sensing Approach. In AGU Fall Meeting Abstracts, 2013.
• Didan, K., Barreto-munoz, A., Miura, T., & Tsend-Ayush, J. (2012). A Framework for Capturing and Characterizing the Error and Uncertainty in a Multi-Sensor Vegetation Index and Phenology Earth Science Data Record. In AGU Fall Meeting Abstracts, 1.
• Didan, K., Didan, K., Barreto-munoz, A., Barreto-munoz, A., Miura, T., Miura, T., Tsend-Ayush, J., & Tsend-Ayush, J. (2012). A Framework for Capturing and Characterizing the Error and Uncertainty in a Multi-Sensor Vegetation Index and Phenology Earth Science Data Record. In AGU Fall Meeting Abstracts, 2012.
• El Vilaly, M. M., El Vilaly, M. M., Van Leeuwen, W. J., Van Leeuwen, W. J., Didan, K., Didan, K., Marsh, S. E., Marsh, S. E., Crimmins, M. A., & Crimmins, M. A. (2012). Remote Sensing Approach to Drought Monitoring to Inform Range Management at the Hopi Tribe and Navajo Nation. In AGU Fall Meeting Abstracts, 2012.
• El Vilaly, M., Van Leeuwen, W., Didan, K., Marsh, S., & Crimmins, M. (2012). Remote Sensing Approach to Drought Monitoring to Inform Range Management at the Hopi Tribe and Navajo Nation. In AGU Fall Meeting Abstracts, 1.
• Kim, Y., Kimball, J. S., Zhang, K., & Didan, K. (2012). The effect of winter frozen season changes on Northern Hemisphere vegetation canopy growth determined from satellite microwave and optical remote sensing. In AGU Fall Meeting Abstracts, 1.
• Barreto-munoz, A., Barreto-munoz, A., Didan, K., Didan, K., Rivera-Camacho, J., Rivera-Camacho, J., Yitayew, M., Yitayew, M., Miura, T., Miura, T., Tsend-Ayush, J., & Tsend-Ayush, J. (2011). VIP Data Explorer: A Tool for Exploring 30 years of Vegetation Index and Phenology Observations. In AGU Fall Meeting Abstracts, 2011.
• Barreto-munoz, A., Didan, K., Rivera-Camacho, J., Yitayew, M., Miura, T., & Tsend-Ayush, J. (2011). VIP Data Explorer: A Tool for Exploring 30 years of Vegetation Index and Phenology Observations. In AGU Fall Meeting Abstracts, 1.
• Didan, K., Barreto-munoz, A., Miura, T., & Tsend-Ayush, J. (2011). Propagation and Estimation of Error and Uncertainty in a Multi- Sensor Vegetation Index and Phenology Earth Science Data Records. In AGU Fall Meeting Abstracts, 1.
• Didan, K., Didan, K., Barreto-munoz, A., Barreto-munoz, A., Miura, T., Miura, T., Tsend-Ayush, J., & Tsend-Ayush, J. (2011). Propagation and Estimation of Error and Uncertainty in a Multi-Sensor Vegetation Index and Phenology Earth Science Data Records. In AGU Fall Meeting Abstracts, 2011.
• Didan, K., Whitsitt, S., Barreto, A., Hudson, M., Al-Helal, H., Chu, D., & Jonathan, S. (2011, 23 October 2011). Constrained data acquisition for mobile citizen science applications. In SPLASH '11: Conference on Systems, Programming, and Applications: Software for Humanity Portland Oregon USA October 23 - 24, 2011, ISBN: 978-1-4503-1183-0.
• Rahman, A. F., Rahman, A. F., Dragoni, D., Dragoni, D., Didan, K., & Didan, K. (2011). Tracking Large Area Mangrove Deforestation with Time-Series of High Fidelity MODIS Imagery. In AGU Fall Meeting Abstracts, 2011.
• Rahman, A., Dragoni, D., & Didan, K. (2011). Tracking Large Area Mangrove Deforestation with Time-Series of High Fidelity MODIS Imagery. In AGU Fall Meeting Abstracts, 1.
• Rivera-Camacho, J., Didan, K., Barreto-munoz, A., & Yitayew, M. (2011). Evaluation of Reconstructed Remote Sensing Time Series Data. In AGU Fall Meeting Abstracts, 2011.
• Rivera-Camacho, J., Didan, K., Barreto-munoz, A., & Yitayew, M. (2011). Evaluation of Reconstructed Remote Sensing Time Series Data. In AGU Fall Meeting Abstracts.
• Saleska SR, ., Saleska SR, ., Restrepo-Coupe, N., Restrepo-Coupe, N., Wiedemann, K. T., Wiedemann, K. T., Silva, R., Silva, R., Amaral, D., Amaral, D., Christoffersen, B. J., Christoffersen, B. J., Wu, J., Wu, J., Alves, L. F., Alves, L. F., Camargo, P. B., Camargo, P. B., Oliveira, R. C., , Oliveira, R. C., et al. (2011). Amazon forest vegetation and carbon dynamics under drought and flood. In AGU Fall Meeting Abstracts, 2011.
• Saleska, S., Restrepo-Coupe, N., Wiedemann, K., Silva, R., Amaral, D., Christoffersen, B., Wu, J., Alves, L., Camargo, P., Oliveira, R., & others, . (2011). Amazon forest vegetation and carbon dynamics under drought and flood. In AGU Fall Meeting Abstracts, 1.
• Tsend-Ayush, J., Miura, T., Didan, K., & Barreto-munoz, A. (2011). Compatibility Analysis of Global Vegetation Index From Terra MODIS and SPOT-4 VEGETATION for Continuity Studies. In AGU Fall Meeting Abstracts, 1.
• Tsend-Ayush, J., Tsend-Ayush, J., Miura, T., Miura, T., Didan, K., Didan, K., Barreto-munoz, A., & Barreto-munoz, A. (2011). Compatibility Analysis of Global Vegetation Index from Terra MODIS and SPOT-4 VEGETATION for Continuity Studies. In AGU Fall Meeting Abstracts, 2011.
• Whitsitt, S., Barreto, A., Hudson, M., Al- Helal, H., Chu, D., Didan, K., & Jonathan, S. (2011). Constrained data acquisition for mobile citizen science applications. In Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE! 2011, AOOPES'11, NEAT'11, \& VMIL'11.
• Whitsitt, S., Whitsitt, S., Barreto, A., Barreto, A., Hudson, M., Hudson, M., Al-Helal, H., Al-Helal, H., Chu, D., Chu, D., Didan, K., Didan, K., Jonathan, S., & Jonathan, S. (2011). Constrained data acquisition for mobile citizen science applications. In Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE! 2011, AOOPES'11, NEAT'11, \& VMIL'11.
• Barreto-Munoz, A., Barreto-Munoz, A., Didan, K., Didan, K., Riveracamacho, J., Riveracamacho, J., Yitayew, M., & Yitayew, M. (2010). A New Hybrid Method for Remote Sensing Time Series Reconstruction in Support of Land Surface Phenology. In AGU Fall Meeting Abstracts, 2010.
• Barreto-Munoz, A., Didan, K., Riveracamacho, J., & Yitayew, M. (2010). A New Hybrid Method for Remote Sensing Time Series Reconstruction in Support of Land Surface Phenology. In AGU Fall Meeting Abstracts, 1.
• Didan, K. (2010). Multi-satellite earth science data record for studying global vegetation trends and changes. In Proceedings of the 2010 international geoscience and remote sensing symposium, Honolulu, HI, USA, 2530.
• Didan, K. (2010). Three Decades of Remote Sensing Based Tropical Forests Phenological Patterns and Trends. In AGU Fall Meeting Abstracts, 1.
• Didan, K., & Didan, K. (2010). Three Decades of Remote Sensing Based Tropical Forests Phenological Patterns and Trends. In AGU Fall Meeting Abstracts, 2010.
• Tsend-Ayush, J., Miura, T., Didan, K., & Barreto-Munoz, A. (2010). An Agreement Assessment of Global Vegetation Index Products from Terra Modis and SPOT-4 Vegetation for Continuity Studies. In AGU Fall Meeting Abstracts, 1.
• Tsend-Ayush, J., Tsend-Ayush, J., Miura, T., Miura, T., Didan, K., Didan, K., Barreto-Munoz, A., & Barreto-Munoz, A. (2010). An Agreement Assessment of Global Vegetation Index Products from Terra Modis and SPOT-4 Vegetation for Continuity Studies. In AGU Fall Meeting Abstracts, 2010.
• Barreto-Munoz, A., & Didan, K. (2009). SYNOPTIC GLOBAL REMOTE SENSING OF LAND SURFACE VEGETATION: OVERVIEW OF DAILY DATA QUALITY, CHALLENGES, AND OPPORTUNITIES. In AGU Fall Meeting Abstracts, 1.
• Barreto-Munoz, A., & Didan, K. (2009). SYNOPTIC GLOBAL REMOTE SENSING OF LAND SURFACE VEGETATION: OVERVIEW OF DAILY DATA QUALITY, CHALLENGES, AND OPPORTUNITIES. In AGU Fall Meeting Abstracts, 2009.
• Didan, K., & Barreto-Munoz, A. (2009). Vegetation Index and Phenology ESDRs from Multiple Long Term Satellite Data Records: Toward a Sensor Independent Time Series. In AGU Fall Meeting Abstracts, 1.
• Didan, K., & Barreto-Munoz, A. (2009). Vegetation Index and Phenology ESDRs from Multiple Long Term Satellite Data Records: Toward a Sensor Independent Time Series. In AGU Fall Meeting Abstracts, 2009.
• Jenkerson, C., Meyer, D., & Didan, K. (2009). Case Study for EOSDIS Support to MEaSUREs: the Vegetation Index and Vegetation Phenology ESDRs. In AGU Fall Meeting Abstracts, 1.
• Jenkerson, C., Meyer, D., & Didan, K. (2009). Case Study for EOSDIS Support to MEaSUREs: the Vegetation Index and Vegetation Phenology ESDRs. In AGU Fall Meeting Abstracts, 2009.
• Barreto, A., Didan, K., & Miura, T. (2008). Sources of Divergence in Remote Sensing of Vegetation Phenology From Multiple Long Term Satellite Data Records. In AGU Fall Meeting Abstracts, 1.
• Barreto, A., Didan, K., & Miura, T. (2008). Sources of Divergence in Remote Sensing of Vegetation Phenology From Multiple Long Term Satellite Data Records. In AGU Fall Meeting Abstracts, 2008.
• Didan, K., Leeuwen, W., Miura, T., Friedl, M., Zhang, X., Czapla-Myers, J., Jenkerson, C. B., & Maiersperger, T. K. (2008). Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite Data Records. In AGU Fall Meeting Abstracts, 2008.
• Didan, K., Leeuwen, W., Miura, T., Friedl, M., Zhang, X., Czapla-Myers, J., Jenkerson, C., & Maiersperger, T. (2008). Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite Data Records. In AGU Fall Meeting Abstracts, 1.
• Glenn, E., Morino, K., Didan, K., Jordan, F., Carroll, K., Nagler, P. L., Hultine, K., Waugh, J., & Sheader, L. (2008). Scaling Sap Flux Measurements of Shrub communities with Fine and Coarse-Resolution Remote Sensing. In AGU Fall Meeting Abstracts, 2008.
• Glenn, E., Morino, K., Didan, K., Jordan, F., Carroll, K., Nagler, P., Hultine, K., Waugh, J., & Sheader, L. (2008). Scaling Sap Flux Measurements of Shrub communities with Fine and Coarse-Resolution Remote Sensing. In AGU Fall Meeting Abstracts, 1.
• Morino, K., Nagler, P., Didan, K., Erker, J., Osterberg, J., Hultine, K., & Glenn, E. (2008). Saltcedar (Tamarix spp.) Water Use and Ecohydrological Niches on the Lower Colorado River. In AGU Fall Meeting Abstracts, 1.
• Morino, K., Nagler, P., Didan, K., Erker, J., Osterberg, J., Hultine, K., & Glenn, E. (2008). Saltcedar (Tamarix spp.) Water Use and Ecohydrological Niches on the Lower Colorado River. In AGU Fall Meeting Abstracts, 2008.
• Saleska, S., Goncalves, L. G., Baker, I., Costa, M., Poulter, B., Christoffersen, B., Da Rocha, H. R., Didan, K., Huete, A., Imbuziero, H., & others, . (2008). Effects of seasonality and land-use change on carbon and water fluxes across the Amazon basin: synthesizing results from satellite-based remote sensing, towers, and models. In AGU Fall Meeting Abstracts, 2008.
• Saleska, S., Goncalves, L., Baker, I., Costa, M., Poulter, B., Christoffersen, B., Da Rocha, H., Didan, K., Huete, A., Imbuziero, H., & others, . (2008). Effects of seasonality and land-use change on carbon and water fluxes across the Amazon basin: synthesizing results from satellite-based remote sensing, towers, and models. In AGU Fall Meeting Abstracts, 1.
• White, M., Beurs, K., Didan, K., Inouye, D., Richardson, A., Jensen, O., O'Keefe, J., Zhang, G., Nemani, R., Leeuw, W., & others, . (2008). Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982 to 2006. In AGU Fall Meeting Abstracts, 1.
• White, M., Beurs, K., Didan, K., Inouye, D., Richardson, A., Jensen, O., O'Keefe, J., Zhang, G., Nemani, R., Leeuw, W., & others, . (2008). Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982 to 2006. In AGU Fall Meeting Abstracts, 2008.
• Glenn, E. P., Nagler, P. L., Didan, K., & Osterberg, J. (2007). Estimates of Water Use of Saltcedar (Tamarix ramosissima) on the Lower Colorado River: from Plant to Stand to River Reach. In AGU Fall Meeting Abstracts, 2007.
• Glenn, E., Nagler, P., Didan, K., & Osterberg, J. (2007). Estimates of Water Use of Saltcedar (Tamarix ramosissima) on the Lower Colorado River: from Plant to Stand to River Reach. In AGU Fall Meeting Abstracts, 1.
• Huete, A. R., Didan, K., Ratana, P., Saleska, S., Restrepo, N., Miura, T., & Kim, Y. (2007). Dynamic Phenological Patterns in Tropical Ecotonal, Disturbed, and Regenerating Forests. In AGU Fall Meeting Abstracts, 2007.
• Huete, A., Didan, K., Ratana, P., Saleska, S., Restrepo, N., Miura, T., & Kim, Y. (2007). Dynamic Phenological Patterns in Tropical Ecotonal, Disturbed, and Regenerating Forests. In AGU Fall Meeting Abstracts, 1.
• Jiang, Z., Huete, A. R., Kim, Y., & Didan, K. (2007). 2-band enhanced vegetation index without a blue band and its application to AVHRR data. In Optical Engineering+ Applications.
• Jiang, Z., Huete, A. R., Kim, Y., & Didan, K. (2007). 2-band enhanced vegetation index without a blue band and its application to AVHRR data. In Remote Sensing and Modeling of Ecosystems for Sustainability IV, 6679.
• Jiang, Z., Huete, A., Kim, Y., & Didan, K. (2007). 2-band enhanced vegetation index without a blue band and its application to AVHRR data [6679-04]. In PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 6679.
• Saleska SR, ., Didan, K., Christoffersen, B., Huete, A. R., Restrepo-Coupe, N., & Rocha, H. (2007). Dynamics of Amazon Forest photosynthetic increase during 2005 drought. In AGU Fall Meeting Abstracts, 2007.
• Saleska, S., Didan, K., Christoffersen, B., Huete, A., Restrepo-Coupe, N., & Rocha, H. (2007). Dynamics of Amazon Forest photosynthetic increase during 2005 drought. In AGU Fall Meeting Abstracts, 1.
• Huete, A. R., Miura, T., Kim, Y., Didan, K., & Privette, J. (2006). Assessments of multisensor vegetation index dependencies with hyperspectral and tower flux data. In Remote Sensing and Modeling of Ecosystems for Sustainability III, 6298.
• Huete, A. R., Miura, T., Kim, Y., Didan, K., & Privette, J. (2006). Assessments of multisensor vegetation index dependencies with hyperspectral and tower flux data. In SPIE Optics+ Photonics.
• Ratana, P., Huete, A., & Didan, K. (2006). Modis evibased variability in amazon phenology across the rainforest-cerrado ecotone. In 2006 IEEE International Symposium on Geoscience and Remote Sensing.
• Didan, K. (2005). Global Scale 1km Phenological Metrics Derived From the Moderate Resolution Imaging Spectroradiometer Vegetation Index Product: Data Characteristics and Potential Applications. In AGU Fall Meeting Abstracts, 2005.
• Didan, K. (2005). Global Scale 1km Phenological Metrics Derived From the Moderate Resolution Imaging Spectroradiometer Vegetation Index Product: Data Characteristics and Potential Applications. In AGU Fall Meeting Abstracts.
• Ferreira, N. C., Ferreira, L. G., Huete, A., Didan, K., & Miura, T. (2005). A GIS based change detection system for the Amazon forest. In 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005.
• Ferreira, N. C., Ferreira, N. C., Ferreira, L. G., Ferreira, L. G., Huete, A., Huete, A., Didan, K., Didan, K., Miura, T., & Miura, T. (2005). A GIS based change detection system for the Amazon forest: Advantages and implications for the environmental monitoring and regional sustainable development. In 2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005.
• Huete, A. R., Didan, K., Shimabukuro, Y., Ratana, P., Yang, W., Nemani, R., & Myneni, R. (2005). Amazon Rainforest Phenology Observed From Space. In AGU Fall Meeting Abstracts, 2005.
• Huete, A., Didan, K., Shimabukuro, Y., Ratana, P., Yang, W., Nemani, R., & Myneni, R. (2005). Amazon Rainforest Phenology Observed From Space. In AGU Fall Meeting Abstracts.
• Huete, A., Miura, T., Kim, Y., Didan, K., & Privette, J. (2005). Assessments of multisensor vegetation index dependencies with hyperspectral and lower flux data (Invited Paper)[6298-45]. In PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, 6298.
• Myneni, R. B., Yang, W., Su, Y., Huete, A., Nemani, R. R., & Didan, K. (2005). Do Amazonian Forests Get Greener in Dry Season?. In AGU Fall Meeting Abstracts, 2005.
• Myneni, R., Yang, W., Su, Y., Huete, A., Nemani, R., & Didan, K. (2005). Do Amazonian Forests Get Greener in Dry Season?. In AGU Fall Meeting Abstracts, 1.
• Saleska SR, ., Mahadevan, P., Huete, A., Cardoso, F., Rocha, H., Didan, K., Fitzjarrald, D., Goulden, M., Kruijt, B., Manzi, A., & others, . (2005). Effects of land use and climate seasonality on carbon fluxes in the Amazon: scaling from landscape to region using data from MODIS satellites and from a network of flux towers. In AGU Fall Meeting Abstracts, 2005.
• Saleska, S., Mahadevan, P., Huete, A., Cardoso, F., Rocha, H., Didan, K., Fitzjarrald, D., Goulden, M., Kruijt, B., Manzi, A., & others, . (2005). Effects of land use and climate seasonality on carbon fluxes in the Amazon: scaling from landscape to region using data from MODIS satellites and from a network of flux towers. In AGU Fall Meeting Abstracts.
• Didan, K., & Huete, A. (2004). Analysis of the global vegetation dynamic metrics using MODIS vegetation index and land cover. In 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004.
• Didan, K., & Huete, A. (2004). Analysis of the global vegetation dynamic metrics using modis vegetation index and land cover products. In Geoscience and Remote Sensing Symposium, 2004. IGARSS'04. Proceedings. 2004 IEEE International, 3.
• Didan, K., Didan, K., Huete, A., & Huete, A. (2004). Analysis of the global vegetation dynamic metrics using MODIS vegetation index and land cover products. In IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 3.
• Huete, A. R., Kim, Y., Didan, K., Miura, T., & Privette, J. (2004). Multi-Sensor Translation, Continuity, and Scaling of Vegetation Indices Using Hyperspectral Data. In AGU Fall Meeting Abstracts, 2004.
• Huete, A., & Didan, K. (2004). MODIS seasonal and inter-annual responses of semiarid ecosystems to drought in the Southwest USA. In Geoscience and Remote Sensing Symposium, 2004. IGARSS'04. Proceedings. 2004 IEEE International, 3.
• Huete, A., Kim, Y., Didan, K., Miura, T., & Privette, J. (2004). Multi-Sensor Translation, Continuity, and Scaling of Vegetation Indices Using Hyperspectral Data. In AGU Fall Meeting Abstracts.
• Kim, Y., Huete, A. R., Didan, K., Cobb, N., & Koch, G. (2004). Monitoring Ecosystem Carbon and Water Variations During a Severe Drought in the Southwest With AVIRIS and MODIS Sensor Data.. In AGU Fall Meeting Abstracts, 2004.
• Kim, Y., Huete, A., Didan, K., Cobb, N., & Koch, G. (2004). Monitoring Ecosystem Carbon and Water Variations During a Severe Drought in the Southwest With AVIRIS and MODIS Sensor Data.. In AGU Fall Meeting Abstracts, 1.
• Huete, A. R., Didan, K., Ratana, P., & Ferreira, L. (2002). Seasonal Biophysical Dynamics of the Amazon from Space using MODIS Vegetation Indices. In AGU Fall Meeting Abstracts, 2002.
• Huete, A. R., Huete, A. R., Didan, K., Didan, K., Ratana, P., Ratana, P., Miura, T., & Miura, T. (2002). Seasonal Biophysical Dynamics of Biomes from Space Using MODIS Vegetation Indices. In AGU Fall Meeting Abstracts, 2002.
• Huete, A., Didan, K., Ratana, P., & Miura, T. (2002). Seasonal Biophysical Dynamics of Biomes from Space Using MODIS Vegetation Indices. In AGU Fall Meeting Abstracts, 1.
• Rodriguez, E. P., Didan, K., Huete, A. R., & Miura, T. (2002). Application of MODIS Vegetation Indices to Monitor the Seasonal Responses and Water Use Impacts over the Colorado River Delta Area, NW Mexico. In Proceedings for the Twenty-ninth International Symposium on Remote Sensing of Environment.
• Huete, A. R., Didan, K., Miura, T., Yoshioka, H., Ferreira, L., Gao, X., & Batchily, K. (2001). Validation of the MODIS vegetation indices over a global set of test sites: preliminary results. In Europto Remote Sensing.
• Huete, A. R., Didan, K., Miura, T., Yoshioka, H., Ferreira, L., Gao, X., & Batchily, K. (2001). Validation of the MODIS vegetation indices over a global set of test sites: preliminary results. In Remote Sensing for Agriculture, Ecosystems, and Hydrology II, 4171.
• Huete, A. R., Huete, A. R., Didan, K., Didan, K., Miura, T., Miura, T., Rodriguez, E., Rodriguez, E., Xiang, G., Xiang, G., Ferreira, L., & Ferreira, L. (2001). Vegetation Dynamics and Seasonal Responses of North and South America from EOS-MODIS Vegetation Indices. In AGU Fall Meeting Abstracts, 2001.
• Huete, A., Didan, K., Miura, T., Rodriguez, E., Xiang, G., & Ferreira, L. (2001). Vegetation Dynamics and Seasonal Responses of North and South America from EOS-MODIS Vegetation Indices. In AGU Fall Meeting Abstracts, 1.
• Miura, T., Didan, K., Huete, A. R., & Rodriguez, E. P. (2001). A performance evaluation of the MODIS vegetation index compositing algorithm. In Geoscience and Remote Sensing Symposium, 2001. IGARSS'01. IEEE 2001 International, 4.
• Miura, T., Miura, T., Didan, K., Didan, K., Huete, A. R., Huete, A. R., Rodriguez, E. P., & Rodriguez, E. P. (2001). A performance evaluation of the MODIS vegetation index compositing algorithm. In IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No. 01CH37217), 4.
• Yamamoto, H., Yamamoto, H., Yoshioka, H., Yoshioka, H., Huete, A. R., Huete, A. R., Honda, Y., Honda, Y., Kajiwara, K., Kajiwara, K., Didan, K., Didan, K., Ferreira, L., & Ferreira, L. (2001). Inter-Sensor Comparison of Global Imager (GLI) Vegetation Index on board ADEOS-II Satellite Using Hyperspectral Field and Airborne Data. In AGU Spring Meeting Abstracts, 2001.
• Yamamoto, H., Yoshioka, H., Huete, A., Honda, Y., Kajiwara, K., Didan, K., & Ferreira, L. (2001). Inter-Sensor Comparison of Global Imager (GLI) Vegetation Index on board ADEOS-II Satellite Using Hyperspectral Field and Airborne Data. In AGU Spring Meeting Abstracts, 1.
• Cusano, M., Lichtenegger, J., Lombardo, P., Petrocchi, A., & Zanovello, D. (2000). A real time operational scheme for ship traffic monitoring using quick look ERS SAR images. In IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), 7.
• Huete, A., Didan, K., Shimabokuro, Y., Ferreira, L., & Rodriguez, E. (2000). Regional Amazon basin and global analyses of MODIS vegetation indices: Early results and comparisons with AVHRR. In Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2.
• Huete, A., Didan, K., Shimabokuro, Y., Ferreira, L., & Rodriguez, E. (2000). Regional amazon basin and global analyses of MODIS vegetation indices. In 2000 International Geoscience and Remote Sensing Symposium (IGARSS 2000).
• Huete, A., Huete, A., Didan, K., Didan, K., Shimabokuro, Y., Shimabokuro, Y., Ferreira, L., Ferreira, L., Rodriguez, E., & Rodriguez, E. (2000). Regional Amazon basin and global analyses of MODIS vegetation indices: Early results and comparisons with AVHRR. In IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), 2.
• Justice, C., Justice, C., Townshend, J., Townshend, J., Vermote, E., Vermote, E., Sohlberg, R., Sohlberg, R., Descloitres, J., Descloitres, J., Roy, D., Roy, D., Hall, D., Hall, D., Salomonson, V., Salomonson, V., Riggs, G., Riggs, G., Huerte, A., , Huerte, A., et al. (2000). Preliminary land surface products from the NASA Moderate Resolution Imaging Spectroradiometer (MODIS). In IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), 3.
• Justice, C., Townshend, J., Vermote, E., Sohlberg, R., Descloitres, J., Roy, D., Hall, D., Salomonson, V., Riggs, G., Huerte, A., & others, . (2000). Preliminary land surface products from the NASA Moderate Resolution Imaging Spectroradiometer (MODIS). In Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 3.
• Miura, T., Huete, A. R., Didan, K., Leeuwen, W. J., & Yoshioka, H. (2000). An assessment of the MODIS vegetation index compositing algorithm using quality assurance flags and sun/view angles. In Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2.
• Miura, T., Miura, T., Huete, A. R., Huete, A. R., Didan, K., Didan, K., Leeuwen, W. J., Leeuwen, W. J., Yoshioka, H., & Yoshioka, H. (2000). An assessment of the MODIS vegetation index compositing algorithm using quality assurance flags and sun/view angles. In IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No. 00CH37120), 2.
• Huete, A. R., Didan, K., Leeuwen, W. J., & Vermote, E. F. (1999). Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation. In Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, 3868.
• Huete, A. R., Didan, K., Leeuwen, W. J., & Vermote, E. F. (1999). Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation. In Remote Sensing.
• Huete, A., Didan, K., Leeuwen, W., & Vermote, E. (1999). Global-scale analysis of vegetation indices for moderate resolution monitoring of terrestrial vegetation [3868-18]. In PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING.
• Leeuwen, W. J., Huete, A. R., Laing, T. W., & Didan, K. (1999). Vegetation change monitoring with spectral indices: the importance of view and sun angle standardized data. In Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, 3868.
• Leeuwen, W. J., Huete, A. R., Laing, T. W., & Didan, K. (1999). Vegetation change monitoring with spectral indices: the importance of view and sun angle standardized data. In Remote Sensing.
• Leeuwen, W., Huete, A. R., Laing, T. W., & Didan, K. (1999). Vegetation change monitoring with spectral indices. In Society of Photo-Optical Instrumentation Engineers.
• Huete, A. R., Huete, A. R., Kerola, D., Kerola, D., Didan, K., Didan, K., Leeuwen, W. J., Leeuwen, W. J., Ferreira, L., & Ferreira, L. (1998). Terrestrial biosphere analysis of SeaWiFS data over the Amazon region with MODIS and GLI prototype vegetation indices. In IGARSS'98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings.(Cat. No. 98CH36174), 2.
• Huete, A. R., Kerola, D., Didan, K., Leeuwen, W. J., & Ferreira, L. (1998). Terrestrial biosphere analysis of SeaWiFS data over the Amazon region with MODIS and GLI prototype vegetation indices. In Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS'98. 1998 IEEE International, 2.
• Huete, A. R., Liu, H., & Leeuwen, W. J. (1997). The use of vegetation indices in forested regions: issues of linearity and saturation. In IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing-A Scientific Vision for Sustainable Development, 4.

Presentations

• Jimenez, E. H., Didan, K., Barreto Muñoz, A., Behrangi, A., & Smith, W. K. (2024, Oct 21-25, 2024). Depletion of the Yucatan Peninsula Karst Aquifer Observed with a Satellite Mission. 
  Presentation COMEII-2458. IX Congreso Nacional y II Congreso Internacional de Riego, Drenaje y Biosistemas (COMEII). Texcoco, Mexico: COMEII.
• Jimenez, E. H., Didan, K., Barreto, A., Nagler, P., ONTIVEROS, E., & PHILLIP, F. (2024, Dec/2024). Restoration Concepts for the Navajo Nation: Riparian Site Quantitative Trends of Actual Evapotranspiration Using a Landsat Greenness Index. Colorado River Terrestrial and Riparian Meeting. Boulder City, Nevada, USA: USGS.
• Parmar, S., Luo, W., Siemens, M. C., Didan, K., & Li, H. (2024, July). Automatic Weed Detection in Lettuce Farms with AI. W4009 Annual Meeting. Honolulu: Universit of Hawaii.
  More info

  Automatic Weed Detection in Lettuce Farms with AI
• Didan, K. (2022, May). Consumptive Water Use for the Riparian Areas of the Little Colorado River within Navajo Nation.. European Geophysical Union. Europe: EU.
• Didan, K. (2022, May). How Changes in Harvested Area Impacts the Actual Evapotranspiration of Croplands Using Optical Remote Sensing. . InEGU General Assembly Conference Abstracts 2022 May (pp. EGU22-3224).. Europe: EU.
• Didan, K. (2022, 03). Drones Now and In the Future: Challenges and Opportunities. First Annual UA Drone Day. UA Campus, Tucson AZ: UA, CALS.
• Barreto, A., Nagler, P., Combs, T., Jarchow, C., Shafroth, P., González., E., & Didan, K. (2019, 09). Using Time-series Satellite Vegetation Indices to Assess Fractional Plant Cover Changes and Ecological Recovery for Riparian Restoration Sites on the Colorado Plateau. 15th Biennial Conference of Science & Management on the Colorado Plateau & Southwest Region. Flagstaff, AZ. Sept. 2019.
• Combs, T., Didan, K., Barreto-Muñoz, A., Jarchow, C., Gomez-Sapiens, M., & Nagler, P. (2019, 09). Using Time-series Satellite Vegetation Indices to Assess Fractional Plant Cover Changes and Ecological Recovery for Riparian Restoration Sites on the Colorado Plateau. 15th Biennial Conference of Science & Management on the Colorado Plateau & Southwest Region. Flagstaff, AZ.
• Didan, K. (2019, 09). FROM DRONES TO SPACEBORNE OBSERVATION CHALLENGES AND OPPORTUNITIES. Association for the Advancement of Industrial Crops 2019 Annual Meeting. Tucson, AZ: Association for the Advancement of Industrial Crops.
• Didan, K., & Barreto, A. (2019, 11). MODIS/VIIRS Vegetation Indices Status and Continuity Considerations. NASA MODIS and VIIRS Science Team Meeting. College Park, MD: NASA.
• NAgler, P., Jarchow, C., Barreto, A., & Didan, K. (2019, 02). Greenness and Evapotranspiration in the Lower Colorado River Delta in Response to Environmental Pulse Flows. USDA , Maricopa Ag. Center. Maricopa, AZ: USDA.
• Nagler, P., Jarchow, C., Barreto, A., Herrmann, S., & Didan, K. (2019, 12). Characterizing evapotranspiration dynamics in the riparian zone of the Colorado River Delta to evaluate ecosystem changes in response to the Minute 319 environmental pulse flow to Mexico. AGU 2019. San Francisco, CA: AGU.
• Nagler, P., Jarchow, C., Waugh, J., Barreto Munoz, A., Herrmann, S., & Didan, K. (2019, 2). Remote Sensing Estimates of Evapotranspiration at a Southwestern Uranium Mill Tailings Site. RiversEdgeWest conference. Phoenix, AZ: RiverEdges West.
• Nouri, H., Nagler, P., Chavoshi Borujeni, S., Barreto Munez, A., Didan, K., Alaghmand, S., Noori, B., & Galindo, A. (2019, March). Impact of Spatial Resolution of Satellite Images on Estimating Urban Green Spaces Evapotranspiration. European Geophysical Union, EGU2019. Vienna, Austria: EGU.
• Zubler, A., Thorp, K., & Didan, K. (2019, 10). Arid-Land Cotton Growth Analysis Using Drone Image Classification. RISE 2019. Tucson, AZ: The University of Arizona.
• Didan, K., & Barreto Munoz, A. (2018, 12). Opportunistic Validation of Vegetation indices data records using NEONS hyperspectral data. CEOS LPV Vegetation Index and Phenology products. Sub-meeting at the 2018 AGU Fall Meeting. Washington.
• Didan, K., & Barreto, A. (2018, 10). Opportunistic Validation of VI data with NEON AOP Hyperspectral Data”. VIIRS and MODIS Science Team Meeting. MODIS - VIIRS Science Team Meeting. Silver Spring, MD: NASA.
• Didan, K., & Barreto, A. (2018, 12). Opportunistic Validation of Vegetation indices data records using NEONS hyperspectral data. CEOS LPV Vegetation Index and Phenology products. Sub-meeting at the 2018 AGU Fall Meeting. Washington, DC: CEOS-LPV & NASA.
• Nagler, N., C.Jarchow, J., Barreto, A., & Didan, K. (2018, 12). Environmental Pulse Flows as a Tool for Restoration of Plant Communities: A Case Study of Remote Sensing Methods to Measure Greenness and Evapotranspiration in the Lower Colorado River Delta.. AGU 2018. Washington, DC.
• Nagler, P., Jarchow, C., Barreto, A., & Didan, K. (2018, 12). Environmental Pulse Flows as a Tool for Restoration of Plant Communities: A Case Study of Remote Sensing Methods to Measure Greenness and Evapotranspiration in the Lower Colorado River Delta. American Geophysical Union. Washington, DC.
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  H51R-1557 Environmental Pulse Flows as a Tool for Restoration of Plant Communities: A Case Study of Remote Sensing Methods to Measure Greenness and Evapotranspiration in the Lower Colorado River DeltaPamela L Nagler, USGS, Baltimore, MD, United States, Christopher J. Jarchow, University of Arizona, Soil, Water, Environmental Science Department, Tucson, AZ, United States, Armando Barreto-munoz, University of Arizona, Tucson, AZ, United States and Kamel Didan, University of Arizona, Biosystems Engineering, Tucson, AZ, United States
• Wang, X., Yang, D., Dannenberg, M., Jones, M., Kimball, J., Moore, D. J., Van Leeuwen, W. J., Didan, K., & Smith, W. K. (2018, 12). B54C-07 Comparisons of Global Land Surface Phenology Derived from Vegetation Greenness, Optical Depth, and Solar-induced Chlorophyll Fluorescence. American Geophysical Union. Washington DC.
• Rodriguez, J., Didan, K., Yitayew, M., & Slack, D. C. (2016, 04). Downscaling MOIS Evapotranspiration via Area-to-Point Kriging in Wellton-Mohawk Irrigation and Drainage District, Yuma, AZ. INNOVATION MATCH MX 2015 – 2016. 1er Foro International de Talento Mexicano. Articulanto Conocimento Global. April 4-8, 2016, Guadalajara, Mexico. Guadalajara, Mexico: INNOVATION MATCH MX 2015 – 2016.

Poster Presentations

• Edo, S., Didan, K., Barreto, A., Jimenez, E., Pamela, N., & Duberstein, J. (2024, 10/2024). Conservation Efforts in the US-Mexico Border Region. Research Insights in Semi-Arid Ecosystems - Symposium. Tucson, AZ: The University of Arizona Santa Rita Experimental Range (SRER).
  More info

  Estimating water use across the US-MX border region for Habitat research and conservation.
• Barreto, A., Didan, K., Nagler, P., Jarchow, C., González, E., & Shafroth, P. (2020, February). Using time-series satellite vegetation indices to assess fractional plant cover, greenness, and evapotranspiration in natural and restored western U.S. riparian sites. RiversEdge West Riparian Restoration Conference. Colorado Mesa University in Grand Junction, CO.
• Didan, K. (2021, April). Changes in the water footprint of urban green spaces over time. EGU21, the 23rd EGU General Assembly, held online 19-30 April, 2021, id.EGU21-100. Europe: EU.
• Barreto, A., Nagler, P. L., Jarchow, C., Didan, K., Shafroth, P., & Gonzalez, E. (2019, 12). Using time-series satellite vegetation indices to assess fractional plant cover changes and ecological recovery for riparian restoration sites on the Colorado Plateau. AGU 2019. San Francisco, CA: AGU.
• Combs, T., Didan, K., Barreto, A., JArchow, C., Gomez-Sapiens, M., & Nagler, P. (2019, 12). Unmanned Aerial Vehicle based Structure from Motion for Estimating Biocontrol Impacts on Riparian Tamarisk. AGU 2019. San Francisco, CA: AGU.
• Didan, K., Combs, T., Barreto, A., & Melichar, M. (2019, 11). Scaling Spaceborne Observations with Proximal UAS based Sensing. NASA TErrestrial ECology Workshop. College Park, MD: NASA.
• Gomez-Sapiens, M., Nagler, P., Schlatter, K., Melendez,, A., Hernandez-Lopez,, D., Barreto, A., & Didan, K. (2019, 12). Vegetation indices trends in restoration and non-restored riparian vegetation sites: Exploring the potential to detect changes in foliar cover through Landsat and UAV vegetation indices in the Colorado River Delta, Mexico. AGU 2019. San Francisco, CA: AGU.
• Hamideh, N., Nagler, P., Chavoshi Borujeni, S., Barreto, A., Didan, K., Alaghmand,, S., & Galindo, A. (2019, 12). Impact of the spatial resolution of satellite images on the evapotranspiration estimation of urban green spaces using optical remote sensing. AGU 2019. San Francisco, CA: AGU.
• Melicahr, M., Didan, K., & Combs, T. (2019, 10). Scaling Spaceborne Observation with Proximal UAS based Sensing: Challenges and Opportunities. RISE 2019. Tuncson, AZ: The University of Arizona.
• Wang, X., Yan, D., Dannenberg, M., Jones, M., Kimball, J., J.P. Moore, D., J. D. van Leeuwen, W., Didan, K., & K. Smith., W. (2018, 12). Comparisons of global land surface phenology derived from vegetation greenness, optical depth, and solar-induced chlorophyll fluorescence. AGU 2018. Washington, DC: AGU.
• Didan, K. (2017, 10/2017). Accuracy of SfM Tools for Different Land Surface Compositions. The 14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium. The University of Arizona: USDA-ARS Walnut Gulch Experimental Watershed (WGEW) and the University of Arizona Santa Rita Experimental Range (SRER).
• Didan, K. (2017, 10/2017). Biomass Characterization Using Structure from Motion Techniques. The 14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium. The University of Arizona: USDA-ARS Walnut Gulch Experimental Watershed (WGEW) and the University of Arizona Santa Rita Experimental Range (SRER).
• Didan, K. (2017, 10/2017). Validation of Vegetation Indices from Landsat MODIS and VIIRS Sensors using Drones and NEON AOP Hyperspectral Data Collected at Santa Rita Experimental Range. The 14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium. The University of Arizona: USDA-ARS Walnut Gulch Experimental Watershed (WGEW) and the University of Arizona Santa Rita Experimental Range (SRER).

Reviews

• Didan, K. (2022. Remote sensing of vegetation in the riparian corridor of the Colorado River’s delta 2013-2018. (p. 11). https://pubs.er.usgs.gov/publication/70237091.

Creative Productions

• Didan, K., & Barreto Munoz, A. (2018. VIIRS/NPP Vegetation Indices 16-Day L3 Product Suite. https://doi.org/10.5067/VIIRS/VNP13A1.001. USGS/EROS LP-DAAC: NASA. https://doi.org/10.5067/VIIRS/VNP13A1.001
• Didan, K., & Barreto Munoz, A. (2017. NASA MEaSUREs Vegetation Index and Phenology (VIP) Product Suite. https://doi.org/10.5067/MEaSUREs/VIP/VIPPHEN_NDVI.004. USGS/EROS LP-DAAC: NASA. https://doi.org/10.5067/MEaSUREs/VIP/VIPPHEN_NDVI.004
• Didan, K., & Barreto Munoz, A. (2015. MOD13Q1 MODIS/Terra Vegetation Indices 16-Day Product Suite. https://doi.org/10.5067/MODIS/MOD13Q1.006. USGS/EROS LP-DAAC: NASA. https://doi.org/10.5067/MODIS/MOD13Q1.006

Others

• Borujeni, S. C., Nouri, H., Nagler, P., Barreto-Mu\~noz, A., & Didan, K. (2024). Spatio-temporal changes in water demand of urban greenery.
• Combs, T., & Didan, K. (2024). Devices and methods for collecting volumetric measurements of objects with complex shapes.
• Nagler, P. L., Barreto-Munoz, A., Jarchow, C. J., & Didan, K. (2024). Section 5: Remote sensing of vegetation in the riparian corridor of the Colorado River???s delta 2013-2018.
• Nagler, P., Barreto-Mu\~noz, A., Sall, I., & Didan, K. (2024). Four Riparian Corridors in the Lower Colorado River Basin: New Estimates of Riparian Evapotranspiration and Consumptive Water Use.
• Bickel, A. K. (2023). The Bioeconomy \& Circular Economy in Southern Arizona: Profile, Economic Baseline, \& Prospects.
• Nagler, P. L., Barreto-Munoz, A., Jarchow, C. J., & Didan, K. (2023). Section 5: Remote sensing of vegetation in the riparian corridor of the Colorado River’s delta 2013-2018.
• Borujeni, S. C., Nouri, H., Nagler, P., Barreto-Mu\~noz, A., & Didan, K. (2022, Aug). Spatio-temporal changes in water demand of urban greenery.
• Nagler, P., Barreto-Mu\~noz, A., Didan, K., Jarchow, C., Borujeni, S. C., Nouri, H., Herrmann, S., & G\'omez-Sapiens, M. (2022, Jul). Short and long-term analyses of plant greenness and evapotranspiration dynamics in the riparian zone of the Colorado River Delta before and after the 2014 Minute 319 environmental pulse flow.
• Nouri, H., Borujeni, S. C., Nagler, P., Munoz, A. B., Didan, K., & Hoekstra, A. (2022, Jul). Changes in the water footprint of urban green spaces over time.
• Didan, K., Barreto, A., Tucker, C., & Pinzon, J. (2019, 07). Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite Vegetation Index Product Suite User Guide & Abridged Algorithm Theoretical Basis Document. NASA MODIS Science Team and USGS LP-DAAC. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp13_user_guide_atbd_v2.1.2.pdf
• Nagler, P., Barreto-Muñoz, A., Jarchow,, C., & Didan, K. (2020, 12). International Boundary and Water Commission United States and Mexico (IBWC). Minute 323 Colorado River Limitrophe and Delta Environmental Flows Monitoring Interim Report for 2018. BAO Approval Date: January 17, 2020. IP-114755.
• Didan, K., Barreto Munoz, A., Tucker, C., & Pinzon, G. (2018, 06). Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite Vegetation Index Product Suite User Guide & Abridged Algorithm Theoretical Basis Document. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp13_user_guide_atbd_v2.1.2.pdf. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp13_user_guide_atbd_v2.1.2.pdf
  More info

  37. Didan K. Barreto Armando, Tucker Compton, Jorge Pinzon. 2018. Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite Vegetation Index Product Suite User Guide & Abridged Algorithm Theoretical Basis Document. NASA/LP-DAAC https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp13_user_guide_atbd_v2.1.2.pdf
• Didan, K. (2017, 12). Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite Vegetation Index Product Suite : User Guide & Algorithm Theoretical Basis Document (V2.1.1). NASA Suomi-NPP Land. USGS LP-DAAC, and VIP-Lab. portal.
  More info

  This is a NASA required reference Algorithm Theoretical Basis Document (ATBD) that details the science behind the production of the VI record from the S-NPP VIIRS satellites/sensor.
• Didan, K., Barreto Munoz, A., Miura, T., Tsend-Ayush, J., Zhang, X., Friedl, M., Grey, J., Van Leeuwen, W. J., Czapla-Myers, J. S., Jenkerson, C., Maiersperger, T., & Meyers, D. (2017, 06). Multi-Sensor Vegetation Index and Phenology Earth Science Data Records Algorithm Theoretical Basis Document and User Guide. NASA/LP-DAAC,. https://lpdaac.usgs.gov/sites/default/files/public/measures/docs/VIP_ESDRs_ATBD_And_UsersGuide.pdf. https://lpdaac.usgs.gov/sites/default/files/public/measures/docs/VIP_ESDRs_ATBD_And_UsersGuide.pdf
• Didan, K., Baarreto, A., Solano, R., & Huete, A. (2016, 06). MODIS Vegetation Index User’s Guide (MOD13 Series). June 2016 (Collection 6). https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/mod13_user_guide.pdf. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/mod13_user_guide.pdf
• God\'oi, S. S., & God\'oi, S. S. (1983). Estudo das varia\c{c}\~oes sazonais da Frente Oce\^anica Subtropical entre a Corrente do Brasil ea Corrente das Malvinas, utilizando dados oceanogr\'afico e dados do sat\'elite SMS-2.
• God{\'o}i, S. S. (1983). Estudo das varia{\c{c}}{\~o}es sazonais da Frente Oce{\^a}nica Subtropical entre a Corrente do Brasil ea Corrente das Malvinas, utilizando dados oceanogr{\'a}fico e dados do sat{\'e}lite SMS-2.