基于Landsat 8的地表温度反演算法研究—以滇池流域为例

doi:10.11873/j.issn.1004-0323.2015.3.0448

遥感技术与应用

2015, Vol. 30

Issue (3): 448-454 DOI: 10.11873/j.issn.1004-0323.2015.3.0448

模型与反演

基于Landsat 8的地表温度反演算法研究—以滇池流域为例

蒋大林¹,匡鸿海¹,曹晓峰^2,3,黄艺²,李发荣⁴

(1.西南大学地理科学学院,重庆 400715;2.北京大学环境科学与工程学院,北京 100871;
3.北京大学深圳研究生院环境与能源学院,广东深圳 518055;
4.昆明市环境监测中心,云南昆明 650228)

Study of Land Surface Temperature Retrieval based on Landsat 8—With the Sample of Dianchi Lake Basin

Jiang Dalin¹,Kuang Honghai¹,Cao Xiaofeng^2,3,Huang Yi²,Li Farong⁴

（1.School of Geographical Sciences,Southwest University,Chongqing 400715,China;
2.College of Environmental Science and Engineering,Peking University,Beijing 100871,China;
3.School of Environmental and Energy,Shenzhen Graduate School,Peking University,Shenzhen 518055,China;4.Kunming Environmental Monitoring Center,Kunming 650228,China)

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摘要：

2013年2月11日Landsat 8在加州范德堡空军基地发射升空,其携带的热红外传感器为反演地表温度提供了一种新的数据,但目前尚没有针对Landsat 8 热红外波段反演地表温度的算法。针对Landsat 8第10波段特征,对现有反演地表温度的单窗算法进行了参数修正,得到了用Landsat 8第10波段反演地表温度的单窗算法系数。为了评价修正后算法的精度,用MODTRAN模拟地表温度为20、30和40 ℃时大气水汽含量分别为1.0、1.5、2.0和2.5 g·cm^-2传感器高度处的热辐射值,再将模拟数据用修正后的单窗算法反演地表温度,结果表明:地表温度越低、大气水汽含量越低,误差越小;模拟结果的平均误差为0.74 ℃。说明基于Landsat 8 第10波段用修正后的单窗算法反演地表温度是可行的,该方法可为地表温度反演提供一种途径。最后以滇池流域为例,基于2013年4月20日的Landsat 8热红外数据反演了滇池流域的地表温度,并分析了滇池流域地表温度的分布特征。

关键词： Landsat 8; 单窗算法; 地表温度; 反演; 滇池

Abstract:

February 11,2013,Landsat 8 was successfully launched in Vandenberg Air Force Base,California.The thermal infrared sensor can provide a new data source which used to retrieve land surface temperature,but there is no corresponding retrieval algorithm for it until now.According to USGS,given larger uncertainty in the Band 11 values,users should work with TIRS Band 10 as a single spectral band and should not attempt a split\|window correction by both TIRS Band 10 and 11.In this paper,we revised coefficients of the mona\|window algorithm to retrieve land surface temperature(LST) using Landsat 8 thermal infrared data (band 10),so that the new Landsat thermal infrared data could be effectively used.To validate the revised algorithm,the land surface temperature 20 ℃,30 ℃,40 ℃ and water vapor content 1,1.5,2,2.5 g·cm^-2 were assumed,then the thermal radiance on the sensor were simulated respectively using MODTRAN atmospheric simulation program,and then retrieved the LST using the improved mona\|window algorithm.The result shows that a lower land surface temperature and lower water vapor content can keep a low error,and the average error is 0.74 ℃,which indicate that the revised algorithm able to provide an accurate LST retrieval from Landsat 8 thermal data.In the last,this paper retrieved the land surface temperature of Dianchi Lake Basin based on an image collected on April 20,2013,the result fit well with the actual conditions,and then analysed its distribute characteristic.

Key words: Landsat 8 Mona-window algorithm Land surface temperature Retrieval Dianchi Lake

收稿日期: 2014-04-21 出版日期: 2015-08-14

TP 79

基金资助:

国家水体污染控制与治理科技重大专项(2012ZX07501002-006)资助。

通讯作者: 黄艺(1964-），女，湖南常德人，教授，博导，主要从事生态环境研究。Email:yhuang@pku.edu.cn。

作者简介: 蒋大林(1990-），男，四川绵阳人，硕士研究生，主要从事GIS/RS在生态环境中的应用研究。Email:dalin_jiang123@163.com。

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引用本文:

蒋大林,匡鸿海,曹晓峰,黄艺,李发荣. 基于Landsat 8的地表温度反演算法研究—以滇池流域为例[J]. 遥感技术与应用, 2015, 30(3): 448-454.

Jiang Dalin,Kuang Honghai,Cao Xiaofeng,Huang Yi,Li Farong. Study of Land Surface Temperature Retrieval based on Landsat 8—With the Sample of Dianchi Lake Basin. Remote Sensing Technology and Application, 2015, 30(3): 448-454.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.3.0448 或 http://www.rsta.ac.cn/CN/Y2015/V30/I3/448

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