METHOD TO REDUCE GREEN AND DRY VEGETATION EFFECTS FOR SOIL MAPPING USING HYPERSPECTRAL DATA

被引:0
|
作者
Kobayashi, C. [1 ]
Kashimura, O. [1 ]
Maruyama, T. [2 ]
Oyanagi, M. [2 ]
Lau, I. C. [3 ]
Cudahy, T. [3 ]
Wheaton, B. [4 ]
Carter, D. [4 ]
机构
[1] Earth Remote Sensing Data Anal Ctr, Chuo Ku, 3-12-1 Kachidoki, Tokyo, Japan
[2] Nikko Explorat & Dev Co Ltd, Minato Ku, Tokyo, Japan
[3] CSIRO Explorat & Min, Kensington, WA 6151, Australia
[4] Dept Agr & Food, S Perth, WA 6151, Australia
关键词
Hyper spectral; Remote sensing; Vegetation effect; Pseudo-reflectance; SAVI; Cellulose Absorption Index;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this study, to remove the effects of topography and surface roughness to observed spectrum initially, a method using the normalised reflectance (pseudo-reflectance) was employed. Then, we examined the removal of the vegetation effects (such as green vegetation and dry vegetation) and a method to estimate soil pseudo-reflectance spectrum, because the ground surface shows the mixture of soil and vegetation. Using soil pseudo-reflectance, we estimated the fundamental soil properties such as clay mineral content. The results showed higher accuracy for soil pseudo-reflectance data corrected for green vegetation and dry vegetation effects than reflectance data, which demonstrated the effectiveness of our correction method.
引用
收藏
页码:448 / 453
页数:6
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