Study on Quantitative Retrieval of Soil Organic Matter Based on Bare Soil Spectrum

被引:0
作者
Wang, Jinliang [1 ]
Qin, Qiming [1 ]
Dong, Heng [1 ]
Chen, Chao [1 ]
Meng, Qingye [1 ]
机构
[1] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
来源
PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13) | 2013年 / 84卷
关键词
Soil Organic Matter; Hyperspectral Data; Regression Analysis; Partial Least Square;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:389 / 396
页数:8
相关论文
共 6 条
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