These data were compiled to understand the effects of riparian vegetation health on local abundance and species diversity of land birds. The primary objective of our study was to to determine the effects of riparian restoration on birds in the Colorado River delta. These tabular data represent vegetation indices and evapotranspiration (ET) data at varying spatial scales that correspond to avian use circles of 100 to 2000 meters. Three vegetation reflectance indices (VIs): NDVI, EVI, and EVI2 were obtained from Landsat imagery with a biweekly temporal frequency, and covering the entire period of bird surveys (2002-2020). The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) and two-band EVI, named EVI2, were produced as tabular data sets. ET was then produced using EVI and EVI2. Also, ET was calculated from EVI2 using an empirical equation (Nagler et al., 2013). Data acquisition and processing were performed at the University of Arizona VIP lab (vip.arizona.edu) using their large Linux cluster of computing and storage resources.

These data were compiled for monitoring riparian zone trends and changes in the Lower Colorado Delta as part of the Minute 139 of the 1944 Water Treaty between the United States and Mexico. The quality and quantity of the Delta’s riparian and aquatic ecosystems have been dramatically reduced over the past century, due largely to significant alterations to natural hydrologic and sediment regimes. The Minute 319 Agreement states that 130 million cubic meters of water was to be released during the spring of 2014. Water was released from Morelos Dam at the Northern International Border (NIB) near Yuma, Arizona, to the river’s delta in Mexico, allowing water to reach the Gulf of California for the first time in 13 years since 2000. Our study evaluated the short and long-term effects of environmental flows to hydrological processes in this borderland delta region. Because of the landscape changes and the anticipated impacts of added water in 2014 from Minute 319 water release, we explored remote sensing-based change analysis techniques and data to develop time series data of the Colorado River delta riparian corridor vegetation greenness and water use since the year 2000. We divided the river into 7 Reaches (R1..R7) to separate between the different land covers, management conditions, and general geospatial and hydrological conditions. We generated a variety of vegetation index, ET, anomalies, and trends using time series for all reaches combined then separately. Our data shows Landsat and MODIS derived EVI and EVI2 as well as time-series data of ETLandsat-EVI (mm/day), using a modified (EVI mod) equation, and ETMODIS-EVI with both EVI and then EVI 2 as the input variable to the ET algorithm were extremely consistent across sensors and methods and covaried well with vegetation, climate, and hydrological conditions of each reach and the whole region.

These data were compiled for monitoring riparian zone trends and changes in the Lower Colorado Delta as part of the Minute 139 of the 1944 Water Treaty between the United States and Mexico. The quality and quantity of the Delta’s riparian and aquatic ecosystems have been dramatically reduced over the past century, due largely to significant alterations to natural hydrologic and sediment regimes. The Minute 319 Agreement states that 130 million cubic meters of water was to be released during the spring of 2014. Water was released from Morelos Dam at the Northern International Border (NIB) near Yuma, Arizona, to the river’s delta in Mexico, allowing water to reach the Gulf of California for the first time in 13 years since 2000. Our study evaluated the short and long-term effects of environmental flows to hydrological processes in this borderland delta region. Because of the landscape changes and the anticipated impacts of added water in 2014 from Minute 319 water release, we explored remote sensing-based change analysis techniques and data to develop time series data of the Colorado River delta riparian corridor vegetation greenness and water use since the year 2000. We divided the river into 7 Reaches (R1..R7) to separate between the different land covers, management conditions, and general geospatial and hydrological conditions. We generated a variety of vegetation index, ET, anomalies, and trends using time series for all reaches combined then separately. Our data shows Landsat and MODIS derived EVI and EVI2 as well as time-series data of ETLandsat-EVI (mm/day), using a modified (EVI mod) equation, and ETMODIS-EVI with both EVI and then EVI 2 as the input variable to the ET algorithm were extremely consistent across sensors and methods and covaried well with vegetation, climate, and hydrological conditions of each reach and the whole region.

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