Analysis of Vegetation Isolines in Red-NIR Reflectance Space

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dc.contributor.author Yoshioka, Hiroki en_US
dc.contributor.author Miura, Tomoaki en_US
dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Ganapol, B en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:48:45Z
dc.date.available 2010-05-28T09:48:45Z
dc.date.issued 2000 en_US
dc.identifier 2009001138 en_US
dc.identifier.citation Yoshioka Hiroki et al. 2000, 'Analysis of Vegetation Isolines in Red-NIR Reflectance Space', Elsevier, vol. 74, pp. 313-326. en_US
dc.identifier.issn 0034-4257 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9310
dc.description.abstract The characteristic behavior of red-near-infrared (NIR) reflectance-based vegetation isolines were analyzed by focusing on its three features: the slope, NIR-intercept, and the intersection between the vegetation isoline and the soil line. These properties are the key factors in understanding variations of vegetation index values with changes of canopy background brightness, known as background noise. The analysis was conducted based on a vegetation isoline equation derived by using the representation of canopy reflectance by the adding method. The isoline parameters, slopes, and NIR-intercepts of vegetation isolines were numerically obtained by the SAIL canopy model. Some of the known behaviors of the vegetation isoline were simulated and analyzed in detail. en_US
dc.language en_US
dc.publisher Elsevier en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/S0034-4257(00)00130-9 en_US
dc.title Analysis of Vegetation Isolines in Red-NIR Reflectance Space en_US
dc.parent Remote Sensing Of Environment en_US
dc.journal.volume 74 en_US
dc.journal.number en_US
dc.publocation United States en_US
dc.identifier.startpage 313 en_US
dc.identifier.endpage 326 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090905 en_US
dc.personcode 0000058681 en_US
dc.personcode 0000058680 en_US
dc.personcode 108636 en_US
dc.personcode 0000058689 en_US
dc.percentage 100 en_US
dc.classification.name Photogrammetry and Remote Sensing 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 en_US


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