Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: MODIS EVI and LST temporal response for discrimination of tropical land covers
Author: Phompila, C.
Lewis, M.
Ostendorf, B.
Clarke, K.
Citation: Remote Sensing, 2015; 7(5):6026-6040
Publisher: MDPI AG
Issue Date: 2015
ISSN: 2072-4292
Statement of
Chittana Phompila, Megan Lewis, Bertram Ostendorf and Kenneth Clarke
Abstract: MODIS enhanced vegetation index (EVI) and land surface temperature (LST) are key indicators for monitoring vegetation cover changes in broad ecosystems. However, there has been little evaluation of these indices for detecting changes in a range of land covers in tropical regions. In this study, we investigated the characteristics and seasonal responses of LST and EVI for four different land covers in Lao tropical forests: native forest, rubber plantation, mixed wooded/cleared areas and agriculture. We calculated long-term averages of MODIS LST and EVI 16-day time series and compared their monthly transitions over the seven-year period from 2006 to 2012. We also tested whether these indices can be used to classify these four land covers. The findings demonstrate the complex interrelationship of LST and EVI and their monthly transitions for different land covers: they each showed distinctly different intra-annual LST and EVI variations. Native forests have the highest EVI, and the lowest LST throughout the year. In contrast, agricultural areas with little or no vegetation cover have the highest LST. The transition of LST/EVI for the land covers other than native forests showed marked seasonality. Linear discriminant analysis (LDA) showed that there was high overall accuracy of separation of land covers by these indices (86%). The encouraging results indicate that the combined use of MODIS LST and EVI holds promise for improving monitoring of changes in a Lao tropical forest.
Keywords: vegetation characteristics; temporal response; monthly transition; hysteresis; linear discrimination analysis (LDA); MODIS LST; EVI
Rights: © 2015 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 license (
RMID: 0030030358
DOI: 10.3390/rs70506026
Appears in Collections:Ecology, Evolution and Landscape Science publications

Files in This Item:
File Description SizeFormat 
hdl_95775.pdfPublished version3.56 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.