详细信息
荒漠化土地土壤有机质含量的实测光谱估测 被引量:25
Estimation of Soil Organic Matter Content in Desertified Lands Using Measured Soil Spectral Data
文献类型:期刊文献
中文题名:荒漠化土地土壤有机质含量的实测光谱估测
英文题名:Estimation of Soil Organic Matter Content in Desertified Lands Using Measured Soil Spectral Data
作者:高志海[1] 白黎娜[1] 王琫瑜[1] 李增元[1] 李晓松[2] 王玉魁[3,4]
第一作者:高志海
机构:[1]中国林业科学研究院资源信息研究所国家林业局林业遥感与信息技术重点实验室;[2]中国科学院遥感应用研究所;[3]北京林业大学水土保持学院;[4]国家林业局泡桐研究开发中心
年份:2011
卷号:47
期号:6
起止页码:9-16
中文期刊名:林业科学
外文期刊名:Scientia Silvae Sinicae
收录:CSTPCD;;Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;
基金:国家"十二五"科技支撑项目(2011BAH23B04);国家863计划课题(2006AA12Z108)
语种:中文
中文关键词:荒漠化土地;土壤有机质;土壤光谱;估测模型
外文关键词:desertified lands; soil organic matter; soil spectrum; estimate model
分类号:S158.2;S151.95
摘要:在对2个荒漠化典型区土壤采样、化验分析和光谱测量的基础上,分析荒漠化土地土壤的反射光谱特征及土壤有机质的光谱敏感范围,构建多种土壤有机质含量高光谱估测模型。结果表明:荒漠化土地土壤具独特的波浪型光谱曲线,其主要特点是在可见光和近红外的500~900nm光谱范围存在一个明显的弓形突起区,其对提取土壤有机质信息有实际意义;相关分析发现,在中心波长分别为600和830nm的可见光和近红外光光谱范围分别存在1个有机质光谱敏感区;土壤有机质含量高光谱估测模型验证结果表明,利用波长588nm处的反射光谱对数lgR588和反射光谱倒数1/R588以及波长835nm处的反射光谱倒数的导数(1/R835)'和反射光谱对数的导数(lgR835)'分别建立的模型,可以较好地估测荒漠化土地土壤有机质含量。
The topsoil spectral characteristics and spectral segments sensitivity to soil organic matter (SOM) were studied on the basis of laboratory analysis and spectral measurement of soil samples collected from 2 typical areas of desertification, and then models for estimating SOM of topsoil layer were established. The results showed that the soils of desertified lands had the unique wave-shaped spectral curves, with an obvious bow-shaped protuberance area in 500-900 nm wavelength range, which could be used to extract SOM information from soil spectrum. It was found by the correlation analysis that there were two spectral segments sensitive to SOM, centered at 600 and 830 nm wavelengths respectively. The result of model validation indicated that the models, taking the logarithm reflectance and reciprocal reflectance at 588 nm (lgR588, 1/R588) and the first derivative reflectance of reciprocal reflectance and logarithm reflectance at 835 nm (1/R835)′, (lgR835)′ as independent variable respectively, could be used to accurately estimate the SOM content in desertified lands.
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