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dc.contributor.authorJarchow, Christopher
dc.contributor.authorDidan, Kamel
dc.contributor.authorBarreto-Muñoz, Armando
dc.contributor.authorNagler, Pamela
dc.contributor.authorGlenn, Edward
dc.date.accessioned2018-06-06T22:21:05Z
dc.date.available2018-06-06T22:21:05Z
dc.date.issued2018-05
dc.identifier.citationJarchow, C.J.; Didan, K.; Barreto-Muñoz, A.; Nagler, P.L.; Glenn, E.P. 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 2018, 18, 1546.en_US
dc.identifier.issn1424-8220
dc.identifier.doi10.3390/s18051546
dc.identifier.urihttp://hdl.handle.net/10150/627893
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.urlhttp://www.mdpi.com/1424-8220/18/5/1546en_US
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleApplication 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, Mexicoen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Biosystem Engineeringen_US
dc.identifier.journalSensorsen_US
dc.description.noteOpen Access Article. UA Open Access Publishing Fund.en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleSensors
dc.source.volume18
dc.source.issue5
dc.source.beginpage1546
refterms.dateFOA2018-06-06T22:21:06Z


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.