Estimates of actual evapotranspiration (ETa) are valuable for effective monitoring and management of water resources. In areas that lack a ground-based monitoring network, remote sensing allows for accurate and consistent estimates of ETa across a large spatial extent – though each algorithm has limitations (i.e., ground-based validation, temporal consistency, spatial resolution). We developed an Ensemble Mean ETa (EMET) product to incorporate advancements and reduce uncertainty among algorithms (i.e., energy-balance, optical-only), which we use to estimate vegetative water use in response to restoration practices being implemented on the ground using management interventions (i.e., fencing pastures, erosion control structures) on a private ranch in Baja California Sur, Mexico. Four input ETa products (i.e., Nagler-ET(EVI2), SSEBop-LS, SSEBop-MOD, MODIS-ET) were used to develop the EMET product (see Processing Steps 1 and 2). This data release consists of a series of five zipped folders, of which each include a series of months of the EMET image product for the Los Planes basin in Baja California Sur, Mexico. We use the following naming convention to recognize the respective month for each image: "YYYY_MM" (i.e., 2006_01 for January 2006). The first zipped folder (i.e., EnsembleMeanETa_EMET_Monthly_2006_2021) contains the full suite of images for all months between January 2006 and December 2021 (n = 192 bands). The remaining four zipped folders contain monthly images for four-year periods within the data release to allow for the user to more easily download images for single years. The four periods follow: (1) 2006 through 2009, (2) 2010 through 2013, (3) 2014 through 2017, and (4) 2018 through 2021 (n = 48 bands each).

These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These datasets are continuous parameter grids (CPG) of normal monthly mean evapotranspiration data for March through September, averaged across all years, 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.

These data were compiled for evaluating plant water use, or river-reach level evapotranspiration (ET) data, in the riparian corridor of the Colorado River delta as specified under Minute 319 of the 1944 Water Treaty. The seven reach areas from the Northerly International Boundary (NIB) to the end of the delta at the Sea of Cortez were defined for research activities. Also, these seven reaches are being monitored under Minute 323 of the 1944 Water Treaty. Additionally, these data were compiled for evaluating restoration-level data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure the peak growing season evapotranspiration (ET) for the average of months in summer-fall (May to October) for the seven reaches, for the full riparian corridor, and for four restoration sites, from 2000 through 2020. These data represent measurements of ET using the enhanced vegetation index (EVI), along with potential ET from meteorological station data in Yuma, Arizona. These data were collected using Landsat satellite data (30 m resolution) over the delta of the Colorado River starting near Yuma, AZ and continuing another 150km to the Sea of Cortez along the river corridor. These data were collected by Pamela Nagler, Ph.D. of the U.S. Geological Survey-Southwest Biological Science Center, and Armando Barreto-Muñoz, Ph.D. and Kamal Didan, Ph.D. of the University of Arizona, Vegetation Index and Phenology Lab. These data can be used to evaluate riparian vegetation community water use in the Lower Colorado River delta region where there is active restoration efforts. These ET data depict a Landsat time series from three sensors over the 21-year period. The time-series data can be used by land and water managers to monitor spatial and temporal riparian zone trends and changes, and document riparian ecosystem health and its water use in the riparian corridor of the Lower Colorado River delta near Yuma, AZ and continuing another 150km to the Sea of Cortez. End users of these data are federal, state, tribal partners and NGOs on both sides of the International border.

These data were compiled for evaluating plant water use, or river-reach level evapotranspiration (ET) data, in the riparian corridor of the Colorado River delta as specified under Minute 319 of the 1944 Water Treaty. The seven reach areas from the Northerly International Boundary (NIB) to the end of the delta at the Sea of Cortez were defined for research activities. Also, these seven reaches are being monitored under Minute 323 of the 1944 Water Treaty. Additionally, these data were compiled for evaluating restoration-level data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure the peak growing season evapotranspiration (ET) for the average of months in summer-fall (May to October) for the seven reaches, for the full riparian corridor, and for four restoration sites, from 2000 through 2020. These data represent measurements of ET using the enhanced vegetation index (EVI), along with potential ET from meteorological station data in Yuma, Arizona. These data were collected using Landsat satellite data (30 m resolution) over the delta of the Colorado River starting near Yuma, AZ and continuing another 150km to the Sea of Cortez along the river corridor. These data were collected by Pamela Nagler, Ph.D. of the U.S. Geological Survey-Southwest Biological Science Center, and Armando Barreto-Muñoz, Ph.D. and Kamal Didan, Ph.D. of the University of Arizona, Vegetation Index and Phenology Lab. These data can be used to evaluate riparian vegetation community water use in the Lower Colorado River delta region where there is active restoration efforts. These ET data depict a Landsat time series from three sensors over the 21-year period. The time-series data can be used by land and water managers to monitor spatial and temporal riparian zone trends and changes, and document riparian ecosystem health and its water use in the riparian corridor of the Lower Colorado River delta near Yuma, AZ and continuing another 150km to the Sea of Cortez. End users of these data are federal, state, tribal partners and NGOs on both sides of the International border.