An analysis of angle-based with ratio-based vegetation indices

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Show simple item record Jiang, Z Huete, AR Li, J Chen, Y 2010-05-28T09:48:38Z 2006-09
dc.identifier.citation IEEE Transactions on Geoscience and Remote Sensing, 2006, 44 (9), pp. 2506 - 2513
dc.identifier.issn 0196-2892
dc.identifier.other C1UNSUBMIT en_US
dc.description.abstract Remotely sensed, angle-based vegetation indices that measure vegetation amounts by the angle between an approximated soil line and a simulated vegetation isoline in the rednear-infrared reflectance space were developed and evaluated in this paper. Ünsalan and Boyer previously proposed an angle-based vegetation index, 0 (denoted as 0NDVI in this paper), based on the normalized difference vegetation index (NDVI) with the objective of overcoming the saturation problem in the NDVI. However, θNDVI did not consider strong soil background influences present in the NDVI. To reduce soil background noise, an angle-based vegetation index, θSAVI, based on the soil-adjusted vegetation index (SAVI), was derived using trigonometric analysis. The performance of θNDVI and θSAVI was evaluated and compared with their corresponding vegetation indices, NDVI and SAVI. The soil background influence on θNDVI was found to be as significant as that on the NDVI. θNDVI was found to be more sensitive to vegetation amount than the NDVI at low vegetation density levels, but less sensitive to vegetation fraction at high vegetation density levels. Thus, the saturation effect at high vegetation density levels encountered in the NDVI was not mitigated by θNDVI. By contrast, θSAVI exhibited insignificant soil background effects and weaker saturation, as in SAVI, but also improved upon the dynamic range of SAVI. Analyses and evaluation suggest that θSAVI is an optimal vegetation index to assess and monitor vegetation cover across the entire range of vegetation fraction density levels and over a wide variety of soil backgrounds. © 2006 IEEE.
dc.language eng
dc.relation.isbasedon 10.1109/TGRS.2006.873205
dc.title An analysis of angle-based with ratio-based vegetation indices
dc.type Journal Article
dc.parent IEEE Transactions on Geoscience and Remote Sensing
dc.journal.volume 9
dc.journal.volume 44
dc.journal.number 9 en_US
dc.publocation United States en_US
dc.identifier.startpage 2506 en_US
dc.identifier.endpage 2513 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0404 Geophysics
dc.personcode 108636
dc.percentage 100 en_US Geophysics 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 angle-based vegetation indices , saturation effect , soil background effects en_US
dc.description.keywords angle-based vegetation indices , saturation effect , soil background effects
dc.description.keywords θsavi
dc.description.keywords Angle-based vegetation indices
dc.description.keywords Saturation effect
dc.description.keywords Soil background effects
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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