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高光谱遥感监测土壤含水量研究进展
引用本文:Wu DH,Fan WJ,Cui YK,Yan BY,Xu XR. 高光谱遥感监测土壤含水量研究进展[J]. 光谱学与光谱分析, 2010, 30(11): 3067-3071. DOI: 10.3964/j.issn.1000-0593(2010)11-3067-05
作者姓名:Wu DH  Fan WJ  Cui YK  Yan BY  Xu XR
作者单位:北京大学遥感与地理信息系统研究所,北京,100871;北京大学遥感与地理信息系统研究所,北京,100871;北京大学遥感与地理信息系统研究所,北京,100871;北京大学遥感与地理信息系统研究所,北京,100871;北京大学遥感与地理信息系统研究所,北京,100871
基金项目:国家自然科学基金项目,国家重点基础研究发展计划项目,国家高技术研究发展计划项目
摘    要:土壤含水量是监测旱情墒情的关键参量,近年来在利用高光谱遥感数据监测土壤含水量方面,国内外进行了大量的研究。文章首先在分析利用不同波段监测土壤含水量的原理及优缺点基础上,指出高光谱遥感监测的独特优势和问题。并以此为出发点,从机理上归纳了土壤含水量对土壤反射率的整体影响,以及对不同波段响应的差异。在此基础上,从物理机理和统计方法两个方面,总结了土壤含水量与土壤反射率的关系。并分析和评价了各模型及统计方法中的关键问题和优缺点。以往研究土壤含水量与土壤反射率关系的实验方法中往往存在一些问题,文章也一一指出并提出了解决方案。同时,探讨了高光谱在消除植被影响,更好地反演土壤含水量方面的可行性。最后对未来的研究方向进行了展望。

关 键 词:高光谱遥感  土壤含水量  反射率

Review of monitoring soil water content using hyperspectral remote sensing
Wu Dai-hui,Fan Wen-jie,Cui Yao-kui,Yan Bin-yan,Xu Xi-ru. Review of monitoring soil water content using hyperspectral remote sensing[J]. Spectroscopy and Spectral Analysis, 2010, 30(11): 3067-3071. DOI: 10.3964/j.issn.1000-0593(2010)11-3067-05
Authors:Wu Dai-hui  Fan Wen-jie  Cui Yao-kui  Yan Bin-yan  Xu Xi-ru
Affiliation:Institute of Remote Sensing and Geographical Information System, Peking University, Beijing, China.
Abstract:Soil water content is a key parameter in monitoring drought. In recent years, a lot of work has been done on monitoring soil water content based on hyperspectral remotely sensed data both at home and abroad. In the present review, theories, advantages and disadvantages of the monitoring methods using different bands are introduced first. Then the unique advantages, as well as the problems, of the monitoring method with the aid of hyperspectral remote sensing are analyzed. In addition, the impact of soil water content on soil reflectance spectrum and the difference between values at different wavelengths are summarized. This review lists and summarizes the quantitative relationships between soil water content and soil reflectance obtained through analyzing the physical mechanism as well as through statistical way. The key points, advantages and disadvantages of each model are also analyzed and evaluated. Then, the problems in experimental study are pointed out, and the corresponding solutions are proposed. At the same time, the feasibility of removing vegetation effect is discussed, when monitoring soil water content using hyperspectral remote sensing. Finally, the future research trend is prospected.
Keywords:
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