{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T05:51:17Z","timestamp":1776577877211,"version":"3.51.2"},"reference-count":46,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2018,5,13]],"date-time":"2018-05-13T00:00:00Z","timestamp":1526169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000203","name":"U.S. Geological Survey","doi-asserted-by":"publisher","award":["n.a."],"award-info":[{"award-number":["n.a."]}],"id":[{"id":"10.13039\/100000203","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNX14AI74G"],"award-info":[{"award-number":["NNX14AI74G"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNX14AP69A"],"award-info":[{"award-number":["NNX14AP69A"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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\u20132011), 8 (2013\u20132016) and the Visible Infrared Imaging Radiometer Suite (VIIRS; 2013\u20132016) to MODIS EVI (2000\u20132016) 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.<\/jats:p>","DOI":"10.3390\/s18051546","type":"journal-article","created":{"date-parts":[[2018,5,14]],"date-time":"2018-05-14T02:57:20Z","timestamp":1526266640000},"page":"1546","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["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"],"prefix":"10.3390","volume":"18","author":[{"given":"Christopher J.","family":"Jarchow","sequence":"first","affiliation":[{"name":"Soil, Water, and Environmental Science (SWES), University of Arizona, Tucson, AZ 85719, USA"},{"name":"US Geological Survey, Southwest Biological Science Center, University of Arizona, 520 N. Park Avenue, Tucson, AZ 85719, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4976-6379","authenticated-orcid":false,"given":"Kamel","family":"Didan","sequence":"additional","affiliation":[{"name":"Biosystems Engineering, University of Arizona, Tucson, AZ 85719, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Armando","family":"Barreto-Mu\u00f1oz","sequence":"additional","affiliation":[{"name":"Biosystems Engineering, University of Arizona, Tucson, AZ 85719, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0674-103X","authenticated-orcid":false,"given":"Pamela L.","family":"Nagler","sequence":"additional","affiliation":[{"name":"US Geological Survey, Southwest Biological Science Center, University of Arizona, 520 N. Park Avenue, Tucson, AZ 85719, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward P.","family":"Glenn","sequence":"additional","affiliation":[{"name":"Environmental Research Laboratory, University of Arizona, Tucson, AZ 85719, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Burgan, R.E., and Hartford, R.A. (1993). Monitoring Vegetation Greenness with Satellite Data.","DOI":"10.2737\/INT-GTR-297"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. 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