地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (2): 232-239.doi: 10.3724/SP.J.1047.2012.00232

• 遥感技术与应用 • 上一篇    下一篇

干旱遥感监测方法及其应用发展(可下载全文)

刘欢1 2, 刘荣高*1, 刘世阳1   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083
  • 收稿日期:2012-04-24 修回日期:2012-04-24 出版日期:2012-04-25 发布日期:2012-04-24
  • 作者简介:刘欢(1985),男,陕西宝鸡人,硕士生,研究方向为3S技术及其集成应用研究。Email:liuhuanraul@126.com
  • 基金资助:

    国家科技支撑计划:"中国重大自然灾害风险等级综合评估技术研究"项目(2008BAK50B06);"多尺度基础地理信息与综合灾情信息集成分析技术研究"项目(2008BAK49B01)。

Review of Drought Monitoring by Remote Sensing

LIU Huan1 2, LIU Ronggao1, LIU Shiyang1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. College of Geoscience and Surveying Engineering, CUMTB, Beijing 100083, China
  • Received:2012-04-24 Revised:2012-04-24 Online:2012-04-25 Published:2012-04-24
  • Contact: 刘荣高(1970-),男,贵州锦屏人,博士,研究员,研究方向为定量遥感与应用。E-mail:liurg@igsnrr.ac.cn E-mail:liurg@igsnrr.ac.cn

摘要: 干旱是世界上影响范围最广和造成社会经济损失最严重的一种自然灾害。本文从干旱遥感监测的不同角度出发,总结了目前干旱遥感监测的主要方法、应用状况及优缺点。主要包括针对裸土地表类型的热惯量法、微波法,针对植被覆盖地表类型的可见光、近红外、短波红外等波段反射率数据的归一化植被指数法、距平指数法、条件植被指数法、归一化差值水分指数、归一化干旱指数、植被供水指数等,以及热红外遥感数据的温度植被干旱指数、温度条件指数、作物缺水指数、水分亏缺指数等。最后,提出了加强干旱遥感监测技术研究的建议,同时指出将可见光和微波相结合的指数模型的研究是干旱遥感监测可能的发展方向。

关键词: 干旱监测, 遥感, 植被指数, 可见光, 微波

Abstract: Drought is one of the most extensive natural disasters in the world which could cause serious economic losses. It is important to monitor large area drought events. Remote sensing technology has a great advantage in large-area monitoring of drought. In this paper, methods for drought monitoring by remote sensing are reviewed, including their advantages and disadvantages and their applications. These methods includes thermal inertia and microwave methods for bare surface, Normalized Difference Vegetation Index, Anomaly Vegetation Index, Vegetation Condition Index, Normalized Difference Water Index, Normalized Difference Drought Index and Vegetation Supplication Water Index based on visible, near infrared, shortwave reflectance data for partly and fully covered surface. Temperature Vegetation Dryness Index, Temperature Condition Index, Crop Water Stress Index, and Water Deficit Index based on thermal infrared remote sensing data for partly and fully covered surface are introduced too. Finally, the trend of remote sensing for drought monitoring is discussed.

Key words: drought monitoring, remote sensing, vegetation index, visible light, microwave