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土壤有机质光谱特征研究(英文)
引用本文:何挺,王静,林宗坚,程烨.土壤有机质光谱特征研究(英文)[J].地球空间信息科学学报,2009,12(1):33-40.
作者姓名:何挺  王静  林宗坚  程烨
作者单位:Laboratory;Land;Ministry;Resources;
基金项目:Supported by the National Natural Science Foundation of China (No. 40271007)
摘    要:

关 键 词:光谱  特征研究  土壤有机质  
收稿时间:13 January 2006

Spectral features of soil organic matter
Ting He,Jing Wang,Zongjian Lin,Ye Cheng.Spectral features of soil organic matter[J].Geo-Spatial Information Science,2009,12(1):33-40.
Authors:Ting He  Jing Wang  Zongjian Lin  Ye Cheng
Institution:(1) Key Laboratory of Land Use, Ministry of Land and Resources, 37 Guanyingyuanxiqu, Xicheng District, Beijing, 100035, China
Abstract:The study on soil spectral reflectance features is the physical basis for soil remote sensing. Soil organic matter content influences the soil spectral reflectance dramatically. This paper studied the spectral curves between 400 nm∼2500 nm of 174 soil samples which were collected in Hengshan county and Yixing county. Fourteen types of transformations were applied to the soil reflectance R to remove the noise and to linearize the correlation between reflectance (independent variable) and soil organic matter (SOM) content (dependent variable). Then, the methods such as derivative spectrum technology and stepwise regression analysis, were applied to study the relationship between these soil spectral features and soil organic matter content. It shows that order 1 derivative of the logarithm of reflectance (O1DLA) is the most sensitive to SOM among the various transform types of reflectance in consideration. The regression model whose coefficient of determination reaches 0.885 is built. It predicted the soil organic matter content with higher effect. Supported by the National Natural Science Foundation of China (No. 40271007).
Keywords:soil organic matter (SOM)  spectral features  stepwise regression analysis
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