基于地表温度与植被指数特征空间反演地表参数的研究进展

doi:10.11867/j.issn.1001-8166.2010.07.0698

地球科学进展 ›› 2010, Vol. 25 ›› Issue (7): 698 -705. doi: 10.11867/j.issn.1001-8166.2010.07.0698

田苗 ¹，王鹏新 ^1*，孙威 ²

1. 中国农业大学信息与电气工程学院，北京 100083；2.国家测绘局测绘发展研究中心，北京 100830

收稿日期:2009-12-18 修回日期:2010-04-09 出版日期:2010-07-10
通讯作者: 王鹏新(1965-)，男，陕西礼泉人，教授，主要从事定量遥感及其在农业中的应用研究. E-mail:wangpx@cau.edu.cn
基金资助:
国家自然科学基金面上项目“基于条件植被温度指数的干旱预测研究”（编号：40871159）；国家高技术研究发展计划课题“作物水分胁迫信息的遥感定量反演与同化技术研究”（编号：2007AA12Z139）；欧盟FP7项目“The 7th framework programme of the European Community for research, technological development and demonstration activities, WP (work package) 9: Satellite based drought monitoring system of pilot areas of China and India of Coordinated Asia-European long-term Observing system of Qinghai-Tibet Plateau hydro-meteorological processes and the Asian-monsoon systEm with Ground satellite Image data and numerical Simulations (CEOP-AEGIS) (Call FP7-ENV-2007-1 212921)”(编号：Call FP7-ENV-2007-1 212921)资助.

A Review of Retrieving of Land Surface Parameters Using the Land Surface Temperature-Vegetation Index Feature Space

Tian Miao ¹, Wang Pengxin ¹, Sun Wei ²

1.College of Information and Electrical Engineering, China Agricultural University ,Beijing 100083,China;
2.Surveying and Mapping Developing Research Center, State Bureau of Surveying and Mapping, Beijing 100830,China

Received:2009-12-18 Revised:2010-04-09 Online:2010-07-10 Published:2010-07-10
Contact: Wang Pengxin E-mail:wangpx@cau.edu.cn

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遥感反演的地表温度（Ts）和植被指数（VI）构成的特征空间结合模型分析可以对显热通量、潜热通量及土壤含水量等地表参数进行估算。这种方法比较实用，且不过多地依赖地面观测数据。随着研究的深入，许多学者在Ts/VI特征空间基础上提出了更加丰富的空间变量。基于此，以不同空间变量为标准，分类介绍在Ts/VI特征空间的基础上对地表能量通量及土壤水分等参数的反演。其中包括在Ts/NDVI特征空间基础上提出温度植被干旱指数和条件植被温度指数来监测干旱；利用Ts/albedo特征空间反演蒸发比；用DSTV/VI特征空间反演蒸散量；用地气温差/植被指数特征空间反演蒸散量等。并介绍了Ts/VI特征空间与微波遥感结合反演地表含水量等相关研究的进展情况，最后提出未来研究的发展方向。

关键词: 显热通量, 潜热通量, 地表温度, 植被指数, Ts/VI特征空间

Using remotely sensed land surface temperature (Ts) and vegetation index (VI) feature space combined with models to estimate land surface energy fluxes and surface soil moisture is increasingly important as this method is simple and independent on ground observations. With the development of methods for using the feature space, many researchers propose other feature spaces based on physical and ecological meanings of the Ts/VI feature space. The basic idea behind all these techniques is that surface radiant temperature is sensitively dependent on the surface soil water content. The paper aims to offer a comprehensive and systematic review of the feature spaces and their applications in retrieving land surface parameters. Prior to the review, the biophysical meanings and properties encapsulated in the Ts/VI feature space is elucidated since these represent the building block upon which all the Ts/VI methods described herein are based, and the drought monitoring approaches are summarized by using the Ts/VI feature space. Then, the evaporative fraction estimation using the Ts/albedo feature space, evapotranspiration estimation using the DSTV/VI (Diurnal Surface Temperature Variation) feature space and the feature space of the difference of surface temperature to air temperature (Ts-Ta) and soil adjusted vegetation index (SAVI) are all discussed. Finally the coupling of the Ts/VI feature space and microwave remote sensing data are discussed for soil surface moisture monitoring, and the further studies are proposed.

Key words: Sensible heat flux, Latent heat flux, Land surface temperature, Vegetation index, Ts/VI feature space

中图分类号:

P237
Q149

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