An Analysis of Angle-Based With Ratio-Based Vegetation Indices

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dc.contributor.author Jiang, Zhangyan en_US
dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Liu, Jing en_US
dc.contributor.author Chen, Yunhao en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:48:38Z
dc.date.available 2010-05-28T09:48:38Z
dc.date.issued 2006 en_US
dc.identifier 2009001130 en_US
dc.identifier.citation Jiang Zhangyan et al. 2006, 'An Analysis of Angle-Based With Ratio-Based Vegetation Indices', IEEE, vol. 44, no. 9, pp. 2506-2513. en_US
dc.identifier.issn 0196-2892 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9288
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 red-near-infrared reflectance space were developed and evaluated in this paper. Unsalan and Boyer previously proposed an angle-based vegetation index, thetas (denoted as thetas NDVI in this paper), based on the normalized difference vegetation index (NDVI) with the objective of overcoming the saturation problem in the NDVI. However, thetasNDVI did not consider strong soil background influences present in the NDVI. To reduce soil background noise, an angle-based vegetation index, thetasSAVI , based on the soil-adjusted vegetation index (SAVI), was derived using trigonometric analysis. The performance of thetasNDVI and thetasSAVI was evaluated and compared with their corresponding vegetation indices, NDVI and SAVI. The soil background influence on thetasNDVI was found to be as significant as that on the NDVI. thetasNDVI 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 thetasNDVI. By contrast, thetasSAVI 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 thetasSAVI 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 en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TGRS.2006.873205 en_US
dc.title An Analysis of Angle-Based With Ratio-Based Vegetation Indices en_US
dc.parent IEEE Transactions on Geoscience and Remote Sensing en_US
dc.journal.volume 44 en_US
dc.journal.number 9 en_US
dc.publocation United States en_US
dc.identifier.startpage 2506 en_US
dc.identifier.endpage 2513 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 040400 en_US
dc.personcode 0000058678 en_US
dc.personcode 108636 en_US
dc.personcode 0000021558 en_US
dc.personcode 0000058679 en_US
dc.percentage 100 en_US
dc.classification.name Geophysics 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
dc.description.keywords angle-based vegetation indices , saturation effect , soil background effects en_US


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