A comparison of vegetation indices over a global set of TM images for EOS-MODIS

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dc.contributor.author Huete, AR
dc.contributor.author Liu, HQ
dc.contributor.author Batchily, K
dc.contributor.author Van Leeuwen, W
dc.date.accessioned 2010-05-28T09:43:19Z
dc.date.issued 1997-03
dc.identifier.citation Remote Sensing of Environment, 1997, 59 (3), pp. 440 - 451
dc.identifier.issn 0034-4257
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/8455
dc.description.abstract A set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Landsat Pathfinder, global land cover test site (GLCTS) initiative were processed to simulate the Moderate Resolution Imaging Spectroradiometer (MODIS), global vegetation index imagery at 250 m pixel size resolution. The sites included boreal forest, temperature coniferous forest, temperate deciduous forest, tropical rainforest, grassland, savanna, and desert biomes. Differences and similarities in sensitivity to vegetation conditions were compared among various spectral vegetation indices (VIs). All VIs showed a qualitative relationship to variations in vegetation. However, there were significant differences among the VIs over desert, grassland, and forested biomes. The normalized difference vegetation index (NDVI) was sensitive to and responded primarily to the highly absorbing red reflectance band, while other indices such as the soil and atmosphere resistant vegetation index (SARVI) were more responsive to variations in the near-infrared (NIR) band. As a result, we found the NDVI to mimic red reflectances and saturate over the forested sites while the SARVI, by contrast, did not saturate and followed variations in NIR reflectances. In the arid and semiarid biomes, the NDVI was much more sensitive to canopy background variations than the SARVI. Maximum differences among vegetation index behavior occurred over the evergreen needleleaf forest sites relative to the deciduous broadleaf forests and drier, grassland, and shrub sites. These differences appear to be useful in complementing the NDVI for improved monitoring of vegetation, with the NDVI sensitive to fraction of absorbed photosynthetic active radiation and the SARVI more sensitive to structural canopy parameters such as leaf area index and leaf morphology.
dc.language eng
dc.relation.isbasedon 10.1016/S0034-4257(96)00112-5
dc.title A comparison of vegetation indices over a global set of TM images for EOS-MODIS
dc.type Journal Article
dc.parent Remote Sensing of Environment
dc.journal.volume 3
dc.journal.volume 59
dc.journal.number en_US
dc.publocation United States en_US
dc.identifier.startpage 440 en_US
dc.identifier.endpage 451 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 039901 Environmental Chemistry (Incl. Atmospheric Chemistry)
dc.personcode 108636
dc.percentage 100 en_US
dc.classification.name Environmental Chemistry (incl. Atmospheric Chemistry) en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - C3
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc false
utslib.collection.history Closed (ID: 3)

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