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Average growing season normalized difference vegetation index (NDVI) data for the riparian corridor of the Colorado River Delta in Mexico from 2000-2020

Metadata Updated: October 30, 2025

These data were compiled for evaluating river-reach level vegetation greenness 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 vegetation greenness data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure satellite vegetation index data, specifically using the Enhanced Vegetation Index (EVI) from Landsat, 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 enhanced vegetation index (EVI) Landsat imagery, and these EVI data were then used as an input for actual evapotranspiration ‘ET’, along with potential ET from meteorological station data in Yuma, Arizona. These data were collected using Landsat satellite data (30 m resolution) record from 2000 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 greeness in the Lower Colorado River delta region where there is active restoration efforts. These normalized difference vegetation index (NDVI) 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 the impact of both drought, fire, land clearing and/or non-native species biocontrol 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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-6109baded34ef8d70566a5af
Data Last Modified 2021-08-11T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id ff054a19-3ff6-471a-be1b-d0833a71977b
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -115.29, 31.947, -114.725, 32.707
Source Datajson Identifier True
Source Hash 26dfb5618c19632a62fddade384d01c2e9937073f3eda353bb2c95331c3eb35c
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -115.29, 31.947, -115.29, 32.707, -114.725, 32.707, -114.725, 31.947, -115.29, 31.947}

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