被动微波遥感数据反演地表温度研究进展
收稿日期: 2005-12-01
修回日期: 2006-03-01
网络出版日期: 2006-05-25
基金资助
中国科学院2003 年度“百人计划”项目和国家杰出青年科学基金项目( 40425012) .
Progr ess in Land Sur face Temper atur e Retr ieval from Passive Microwave Remotely Sensed Data
Received date: 2005-12-01
Revised date: 2006-03-01
Online published: 2006-05-25
贾媛媛,李召良 . 被动微波遥感数据反演地表温度研究进展[J]. 地理科学进展, 2006 , 25(3) : 96 -105 . DOI: 10.11820/dlkxjz.2006.03.012
Land surface temperature (LST) is of considerable importance for many applications, notably global climatic, hydrological, ecological and biogeochemical studies. In the past two decades, a large number of methods and algorithms have been developed to retrieve cloud free LST from thermal infrared data. As for all optical remote sensing, the Earth observation can only be realized for cloud free condition. In order to get LST for all weather conditions, microwave remotely sensed data, instead of thermal infrared data, from space is commonly used due to its capability to penetrate clouds and to some extent rain. Although the passive microwave remote sensing has some advantages compared to the thermal infrared, there are few algorithms developed to retrieve LST from it, mainly because there are various factors affected the microwave signal. In this paper, we review almost all existing algorithms found in literature, which can be roughly categorized into the statistical- based and physics- based retrieval algorithms, to retrieve LST from passive microwave remotely sensed data. The merits and the disadvantages are summarized for each method respectively. Finally further possible improvement and development directions on the scaling transfer, the microwave radiative transfer modeling and the combination of the different remote sensing data are given for LST retrieval from passive microwave data.
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