地球信息科学学报 ›› 2011, Vol. 13 ›› Issue (6): 840-847.doi: 10.3724/SP.J.1047.2011.00840

• 遥感技术与应用 • 上一篇    

地表温度的多源遥感数据反演算法对比分析

郑文武1,2, 曾永年1   

  1. 1. 中南大学地球科学与信息物理学院, 中南大学空间信息技术与可持续发展研究中心, 长沙 410083;
    2. 衡阳师范学院资源环境与旅游管理系, 衡阳 421008
  • 收稿日期:2011-08-29 修回日期:2011-11-01 出版日期:2011-12-25 发布日期:2011-12-25
  • 通讯作者: 曾永年(1959-),男,青海西宁人,教授,博士生导师,从事遥感与地理信息系统及其环境变化研究. E-mail:ynzeng@csu.edu.cn E-mail:ynzeng@csu.edu.cn
  • 作者简介:郑文武(1978-),男,湖南常德人,博士研究生,从事遥感与地理信息系统应用研究.E-mail:zhwenwu@163.com
  • 基金资助:

    国家自然科学基金项目(41171326,40771198); 湖南省自然科学基金项目(08JJ6023)资助.

Comparative Analysis of Two Land Surface Temperature Retrieval Algorithms Based on Multi-source Remote Sensing Data

ZHENG Wenwu1,2, ZENG Yongnian1   

  1. 1. Department of Surveying and Land Information Engineering, Central South University, Changsha 410083, China;
    2. Department of Resource Envioronment and Tourism Management, Hengyang 421008, China
  • Received:2011-08-29 Revised:2011-11-01 Online:2011-12-25 Published:2011-12-25

摘要: 多源遥感数据的综合应用是提高地表温度反演精度的有效途径.MODIS数据和Landsat TM数据在我国同一地区获取的时间相差不大,可以获取近似同步的MODIS数据和TM数据.本文将基于MODIS数据反演的大气参数应用于TM影像的地表温度反演,分别对单窗口算法和普适性单通道算法进行了实验研究,应用气象站实测的地表温度数据对反演结果进行了检验,并对比分析了不同土地覆盖条件下两种算法的精度差异.结果表明:两种算法反演精度均较高,单窗口算法反演精度为0.76K,普适性单通道算法反演精度为1.23K;在不同的土地覆盖条件下,两种算法表现出明显的差异性,水体区反演结果差异最小,均值差异仅为0.02K,植被区差异最大,均值差异为0.62K.

关键词: 地表温度, MODIS, TM, 多源遥感

Abstract: Integrated application of multi-source remote sensing image is one of the best ways to improve the accuracy of land surface temperature (LST) retrieval. The difference between satellite overpass time of MODIS Terra and Landsat is small, so it is easy to get synchronized MODIS and Landsat TM images. The most challenging work of LST retrieval from Landsat TM images is acquisition of atmospheric profile parameters, and MODIS image has several near infrared bands that can be used to estimate atmospheric profile. In order to evaluate the effectiveness of atmospheric parameters estimated from MODIS image being used to LST retrieval algorithm of Landsat TM images, some experimental studies about Qins mono-window algorithm and Jimenez-Munozs generalized single-channel algorithm have been conducted in this paper, and the retrieval LST results of the two algorithm were validated using the observed data from weather stations. Finally, the differences in accuracy of the two algorithms from different land cover types were analyzed. The results show that (1)two LST retrieval algorithms can get high-precision result in support of atmospheric parameters from MODIS images, the average deviation of mono-window algorithm is 0.76K, and the deviation of generalized single-channel algorithm is 1.23k; (2) the differences in accuracy of the two algorithms from different land cover types are obvious, the difference of water area is smallest, the difference of mean is 0.02K, and the difference of vegetation area is largest, the difference of mean is 0.62K, and the LST results of mono-window algorithm are smaller than the LST results of generalized single-channel algorithm.

Key words: land surface temperature, MODIS, TM, Multi-source remote sensing 