地理科学进展 ›› 2005, Vol. 24 ›› Issue (3): 118-126.doi: 10.11820/dlkxjz.2005.03.014

• 生态环境 • 上一篇    

遥感在土壤碳储量估算中的应用

张文娟1,2, 王绍强2, 常华1, 于贵瑞2   

  1. 1. 中国农业大学信息与电气工程学院,北京 100083|
    2. 中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2004-10-01 修回日期:2005-03-01 出版日期:2005-05-25 发布日期:2005-05-25
  • 作者简介:张文娟(1981-),女,硕士研究生,主要从事生态遥感以及土壤空间变异性研究。 E-mail: zhang_wj@cau.edu.cn
  • 基金资助:

    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)和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。

Application of Remote Sensing Technique in Soil Carbon Storage Researches

ZHANG Wenjuan1,2, WANG Shaoqiang2, CHANG Hua1, YU Guirui2   

  1. 1. College of Information and Electrical Engineering, China Agriculture University, Beijing 100083|
    2. Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101
  • Received:2004-10-01 Revised:2005-03-01 Online:2005-05-25 Published:2005-05-25

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: 土壤碳储量, 土壤有机质, 遥感, 植被指数

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.

Key words: remote sensing, soil carbon storage, soil organic matter, vegetation index