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中国沙漠 ›› 2014, Vol. 34 ›› Issue (5): 1222-1229.DOI: 10.7522/j.issn.1000-694X.2013.00318

• 沙漠与沙漠化 • 上一篇    下一篇

沙漠化遥感监测与定量评价研究综述

康文平1,2, 刘树林1   

  1. 1. 中国科学院寒区旱区环境与工程研究所 沙漠与沙漠化重点实验室, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-10-28 修回日期:2013-12-26 出版日期:2014-09-20 发布日期:2014-09-20
  • 作者简介:康文平(1989-),女,山东莱芜人,硕士研究生,主要从事沙漠化遥感应用研究。Email:laiwukang123@163.com
  • 基金资助:
    中国科学院“西部之光”人才培养计划项目(内蒙古中部荒漠草原围栏积沙形成与演化研究);甘肃省科技计划项目(1308RJZA314);国家自然科学基金项目(40801003)资助

A Review of Remote Sensing Monitoring and Quantitative Assessment of Aeolian Desertification

Kang Wenping1,2, Liu Shulin1   

  1. 1. Key Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-10-28 Revised:2013-12-26 Online:2014-09-20 Published:2014-09-20
  • Contact: 刘树林(Email:liusl@lzb.ac.cn)

摘要: 土地沙漠化是当今世界最为严重的环境-社会-经济问题之一,遥感技术以其宏观性、综合性、获取信息量大、时间周期短等优势,已成为沙漠化监测与定量评价的重要数据来源和技术手段。本文阐述了国内外运用遥感技术监测与评价沙漠化研究进展,归纳总结了几种常用的定量指标(FVC/NPP、RUE、Albedo、LST、土壤湿度等)和沙漠化信息定量提取方法(专题指数提取法、ANN、混合像元分析法、决策树分类法等)。分析指出目前沙漠化遥感监测与评价指标体系不完善、尺度效应以及沙漠化信息提取方法方面的研究不足,并提出开展沙漠化多指标、多尺度综合监测与评价研究是未来的发展趋势之一。

关键词: 遥感, 沙漠化, 指标, 监测与评价

Abstract: Aeolian desertification is one of the most serious environment-society-economy questions in the world. Depending on the strength of macroscopic, synthesis, abundant information, quickly updated data, remote sensing has become an important data source and technology for monitoring and assessing desertification. In this paper, the research progress in applying remote sensing technology to monitor and assess aeolian desertification was reviewed, some key indicators such as FVC, NPP, RUE, albedo, LST, soil moisture content, and several quantitative methods of extracting aeolian desertification were also discussed, such as the thematic indexes extracting method, artificial neural network (ANN), decomposing mix element, decision tree classification, etc. Finally, lack of current research on indicator system, scale effect and the weakness of information extraction means were pointed out. In addition, to develop multi-indicator and multi-scale comprehensive analysis was put forward as one of study trends in aeolian desertification monitoring and assessment.

Key words: remote sensing, aeolian desertification, indicators, monitoring and assessment

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