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	Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum
	Wang, Jinliang ; Qin, Qiming ; Dong, Heng ; Chen, Chao ; Meng, Qingye
	2013
关键词	Soil Organic Matter Hyperspectral Data Regression Analysis Partial Least Square
英文摘要	As we know, soil organic matter (SOM) is very important to the plant, especially for the crop. How to quickly access the information of SOM has become a major problem faced by many researchers. Now hyperspectral remote sensing technology became more and more useful in the retrieval of SOM. In this paper, we used different forms of bands combination, and partial least square regression to get the SOM retrieve model. The result shows that using the 2nd derivative of reflectance model can get the best SOM retrieval result.; Engineering, Electrical & Electronic; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/311848]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Wang, Jinliang,Qin, Qiming,Dong, Heng,et al. Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum. 2013-01-01.

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