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遥感在土壤碳储量估算中的应用
引用本文:张文娟,王绍强,常华,于贵瑞.遥感在土壤碳储量估算中的应用[J].地理科学进展,2005,24(3):118-126.
作者姓名:张文娟  王绍强  常华  于贵瑞
作者单位:中国农业大学信息与电气工程学院,北京,100083;中国科学院地理科学与资源研究所,北京,100101;中国科学院地理科学与资源研究所,北京,100101;中国农业大学信息与电气工程学院,北京,100083
基金项目:国家973计划“中国陆地生态系统碳循环及其驱动机制研究”(编号:2002CB412501),中国科学院知识创新工程重大项目专题“中国陆地生态系统碳汇/源的现实时空格局特征”(编号:KZCX1-SW-01-19),中国科学院地理科学与资源研究所知识创新工程“中国陆地生态系统土壤碳蓄积估算”(编号:CXIOG—E01—02—02)资助。
摘    要:土壤碳库是陆地生态系统碳库的主体,在全球碳平衡中具有重要作用。从20世纪70年代早期Landsat-MSS数据的使用开始,各种传感器的卫星多光谱测量开始广泛应用于土壤调查中。首先,分析了利用遥感方法估算土壤碳储量的可行性。之后,系统分析总结了国内外在土壤碳储量研究中的常用遥感方法,即遥感影像直接估算法、植被指数法和光谱测定分析法。最后,对遥感在土壤碳储量估算研究中的发展趋势做出展望。

关 键 词:遥感  土壤碳储量  土壤有机质  植被指数
收稿时间:2004-10-01
修稿时间:2004年10月1日

Application of Remote Sensing Technique in Soil Carbon Storage Researches
Zhang Wenjuan,WANG Shaoqiang,CHANG Hua,YU Guirui.Application of Remote Sensing Technique in Soil Carbon Storage Researches[J].Progress in Geography,2005,24(3):118-126.
Authors:Zhang Wenjuan  WANG Shaoqiang  CHANG Hua  YU Guirui
Institution:1. College of Information and Electrical Engineering, China Agriculture University, Beijing 100083|
2. Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101
Abstract:As the main parts of terrestrial carbon pool, soil carbon pools play an important role in global carbon balance. They are essential to understand the soil carbon cycling for the prediction of future atmospheric CO2 concentration and understanding the structure and function of soil ecosystem. Applications of remote sensing in the study of terrestrial carbon cycle open up an effective way for simulating terrestrial ecosystem process. Remote sensing of soil carbon storage is critical to understand climate change and terrestrial carbon cycle. Beginning with the Landsat-MSS data in early 1970s, spaceborne multispectral measurements from a variety of sensors have been extensively used for carrying out soil surveys. In the paper, combining many latest studies, we summarized the applications of remote sensing in soil carbon storage. First, the feasibility of using remotely sensed data to study soil carbon storage is discussed. The applications of remote sensing in estimating soil carbon storage, including remotely sensed aerial photograph, vegetation index and soil reflectance spectrum are reviewed next. Finally, the development tendency in soil carbon storage researches using remote sensing technology is specified concisely. With the link of carbon cycle model, remote sensing technique and GIS, simulating carbon cycle process in large scale will be the main research trend.
Keywords:remote sensing  soil carbon storage  soil organic matter  vegetation index
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