Yellowness index: an application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetation

被引:176
作者
Adams, ML
Philpot, WD
Norvell, WA
机构
[1] Cornell Univ, Dept Soil Crop & Atmospher Sci, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA
[3] USDA ARS, US Plant Soil & Nutr Lab, Ithaca, NY 14853 USA
关键词
D O I
10.1080/014311699211264
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This paper introduces yellowness index (YI) as a measure for chlorosis of leaves in stressed plants. YI provides a measure of the change in shape of the reflectance spectra between the maximum near 0.55 mu m and the minimum near 0.65 mu m. Quantitatively, YI is a simple, three-point approximation of the second derivative of the spectra, calculated using a finite divided difference approximation. YI is compared with two vegetation indices based on spectral changes in the region of the red edge, VI and NDVI. For manganese-deficient soybean leaves, YI, VI and NDVI were all closely related to leaf chlorophyll concentrations. YI is calculated from wavelengths in the visible that are thought to be less sensitive to changes in leaf structure or water content. Because YI is an approximation of a spectral second derivative, it should be less sensitive to atmospheric effects than many other vegetation indices. Finally, although the results reported here are promising, they are based on leaf-level observations and must be verified at the canopy level for remote sensing applications. An example of the correlation between NDVI and YI in AVIRIS data is given.
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收藏
页码:3663 / 3675
页数:13
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