Assessment of spectral vegetation indices for riparian vegetation in the Colorado River delta, Mexico

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Show simple item record Nagler, PL Glenn, EP Huete, AR 2010-05-28T09:43:45Z 2001
dc.identifier.citation Journal of Arid Environments, 2001, 49 (1), pp. 91 - 110
dc.identifier.issn 0140-1963
dc.identifier.other C1UNSUBMIT en_US
dc.description.abstract This study tested the relationship between three, commonly-used vegetation indices (VIs), percent vegetation cover (% cover) and leaf area index (LAI) over a complex riparian landscape in the Colorado River delta, Mexico. Our objective was to correlate vegetation and soil features with VIs using low-level aerial photography, in preparation for scaling up to analysis of vegetation features using satellite imagery. We used a three-band digital imaging camera (Dycam) to collect data from an aircraft flying at 150 m. A series of 84 images (67×100 m) were analysed. Nine of these sites were ground-truthed; the species, % cover, and LAI were determined. Measured LAI (nine sites) from tree, shrub, and groundcover categories were used to determine a global (GLAI) value for 63 images. We conducted both VIs: % cover and VIs: GLAI regression analyses. The normalized difference vegetation index (NDVI) was the VI that best predicted % cover (r2=0.837), but the soil adjusted vegetation index (SAVI) and enhanced vegetation index (EVI) gave nearly equal results (r2=0.807 and 0.796, respectively). Normalized difference vegetation index, SAVI and EVI were less useful in predicting GLAI (r2=0.73, 0.65, 0.64, respectively). Variability in GLAI was due mainly to differences in % cover among images rather than differences in LAI among vegetation types. We also measured reflectance values of the major plant types between 450 and 900 nm, and found small but significant (p<0.05) differences among some of the species. The results support the conclusion that vegetation indices are most simply related to % vegetation cover, rather than species differences in LAI or VIs, even in this mixed riparian biome. There was also a near 1:1 correspondence between the Dycam and Thematic Mapper (TM) NDVI values over a wide range of landcover types (water, bare soil, partial and complete vegetation cover), which indicate that reflectance-based NDVI values can be scaled from low-level aerial Dycam images to satellite images for this ecosystem. © 2001 Academic Press.
dc.language eng
dc.relation.isbasedon 10.1006/jare.2001.0844
dc.title Assessment of spectral vegetation indices for riparian vegetation in the Colorado River delta, Mexico
dc.type Journal Article
dc.parent Journal of Arid Environments
dc.journal.volume 1
dc.journal.volume 49
dc.journal.number en_US
dc.publocation United States en_US
dc.identifier.startpage 91 en_US
dc.identifier.endpage 110 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0406 Physical Geography and Environmental Geoscience
dc.personcode 108636
dc.percentage 100 en_US Physical Geography and Environmental Geoscience en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords Riparian vegetation; percent cover; aerial/satellite images; normalized difference vegetation index (NDVI); leaf area index (LAI) en_US
dc.description.keywords Riparian vegetation
dc.description.keywords percent cover
dc.description.keywords aerial/satellite images
dc.description.keywords normalized difference vegetation index (NDVI)
dc.description.keywords leaf area index (LAI)
dc.description.keywords Aerial/satellite images
dc.description.keywords Leaf area index (LAI)
dc.description.keywords Normalized difference vegetation index (NDVI)
dc.description.keywords Percent cover
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 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)

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