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遥感技术与应用  2018, Vol. 33 Issue (2): 284-295    DOI: 10.11873/j.issn.1004-0323.2018.2.0284
模型与反演     
基于通用分裂窗算法和Landsat-8数据的地表温度反演研究
李珊珊,蒋耿明
(复旦大学电磁波信息科学教育部重点实验室,上海  200433)
Land Surface Temperature Retrieval from Landsat-8 Data with the Generalized Split Window Algorithm
Li Shanshan,Jiang Gengming

(Key Laboratory of Information Science for Electromagnetic Waves,Ministry of Education,Fudan University,Shanghai 200433,China)
 全文: PDF(5252 KB)  
摘要:
基于通用分裂窗算法和Landsat-8数据开展地表温度(Land Surface Temperature,LST)反演研究。首先,使用MODTRAN和SeeBor V5数据库开展辐射传输模拟,建立LST与Landsat-8热红外传感器(Thermal InfraRed Sensor,TIRS)第10(10.9 μm)和11波段(12.0 μm)观测亮温、地表比辐射率(Land Surface Emissivities,LSEs)、观测角度和总可降水量(Total Precipitable Water,TPW)之间的关系。其次,对模拟数据进行分组,用多元线性回归求解算法系数,并进行敏感性分析。然后,从经过交叉辐射定标的晴空Landsat-8数据反演得到LST,其中LSEs从Landsat-8陆地成像仪(Operational Land Imager,OLI)数据估算,TPW从欧洲中尺度天气预报中心再分析数据提取。最后,用Terra卫星中分辨率成像光谱仪的LST/比辐射率产品(MOD11_L2 V5)对反演结果进行验证。该算法能够较精确地从Landsat\|8数据反演LST,主要误差源自LSEs和TPW的不确定性,对LSEs和TPW纠正前后的误差分别为-0.64±0.81 K和0.10±0.68 K。
关键词: Landsat-8数据辐射传输模拟实验地表比辐射率通用分裂窗算法地表温度反演交叉精度验证    
Abstract: This work addresses the LST retrieval from Landsat\|8 data with the generalized split\|window algorithm.Firstly,radiative transfer modeling experiment is conducted using MODTRAN 4.0,fed with SeeBor V5 atmospheric profile database to build a data set of LST related to brightness temperatures in the bands 10 and 11 of Thermal Infrared Sensor(TIRS) on Landsat-8,Land Surface Emissivities(LSEs),viewing zenith angle and Total Precipitable Water(TPW).Secondly,based on the modeling data set,the unknown coefficients of the generalized split-window algorithm are obtained,and the algorithm sensitivity is analyzed.Then,LSTs are derived from the inter-calibrated and clear sky Landsat\|8 data with the generalized split\|window algorithm,in which LSEs are estimated from Landsat\|8 Operational Land Imager(OLI) data,and TPWs are extracted from the European Centre for Medium-range Weather Forecasts(ECMWF) reanalysis data.Finally,the results are validated with the Moderate resolution Imaging Spectroradiometer(MODIS) LST/LSE product(MOD11_L2 V5).The results show that the generalized split window algorithm developed in this work can accurately retrieve LST from the Landsat\|8 data,and the error is mainly come from the uncertainty of LSEs and TPW.Before and after correction of LSEs and TPW,the LST errors in this work are,respectively,-0.64 ±0.81 K and 0.10±0.68 K against the MOD11_L2 V5 product.
Key words: Landsat-8 data;Radiative transfer modeling experiment;Land surface emissivities;Generalized split\    window algorithm;Land surface temperature retrieval;Accuracy validation
收稿日期: 2017-03-27 出版日期: 2018-05-15
:  TP 75  
基金资助: 国家自然科学基金项目(41271012、61331020 )。
作者简介: 李珊珊(1994-) ,女,四川蓬安人,硕士研究生,主要从事全球地表温度反演的理论和应用研究。Email:bcd163sbd@163.com。
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引用本文:

李珊珊,蒋耿明. 基于通用分裂窗算法和Landsat-8数据的地表温度反演研究[J]. 遥感技术与应用, 2018, 33(2): 284-295.

Li Shanshan,Jiang Gengming. Land Surface Temperature Retrieval from Landsat-8 Data with the Generalized Split Window Algorithm. Remote Sensing Technology and Application, 2018, 33(2): 284-295.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2018.2.0284        http://www.rsta.ac.cn/CN/Y2018/V33/I2/284

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