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A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data

文献类型：期刊论文

作者Wang, Mengmeng1,2; He, Guojin2,3; Zhang, Zhaoming2,3; Wang, Guizhou2,3; Wang, Zhihua4; Yin, Ranyu2; Cui, Shiai2; Wu, Zhijie2,5; Cao, Xiaojie2
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2019-04-01
卷号76页码:204-217
关键词Land surface temperature Split-window algorithm Simplification of Planck's function MODIS
ISSN号0303-2434
DOI10.1016/j.jag.2018.11.015
通讯作者He, Guojin(hegj@radi.ac.cn) ; Zhang, Zhaoming(zhangzm@radi.ac.cn)
英文摘要The split-window algorithm is the most commonly used method for land surface temperature (1ST) retrieval from satellite data. Simplification of the Planck's function, as an important step in developing the SWA, allows us to directly relate the radiance to the temperature toward solving the radiative transfer equation (RTE) set. In this study, Planck's radiance relationship between two adjacent thermal infrared channels was modeled to solve the RTE set instead of simplification of the Planck's function. A radiance-based split-window algorithm (RBSWA) was developed and applied to Moderate Resolution Imaging Spectroradiometer (MODIS) data. The performance of the RBSWA was assessed and compared with three most common brightness temperature-based split-window algorithms (BTBSWAs) by using the simulated data and satellite measurements. Simulation analysis showed that the 1ST retrieval using RBSWA had a Root Mean Square Error (RMSE) of 0.5 K and achieved an improvement of 0.3 K compared with three BTBSWAs, and the 1ST retrieval accuracy using RBSWA was better than 1.5 K considering uncertainties in input parameters based on the sensitivity analysis. For application of RBSWA to MODIS data, the results showed that: 1) comparison between 1ST from MODIS 1ST product and 1ST retrieved using RBSWA showed a mean RMSE of 1.33 K for 108 groups of MODIS image covering continental US, which indicates RBSWA is reliable and robust; 2) when using the measurements from US surface radiation budget network as real values the RMSE of the RBSWA algorithm was 2.55 K and was slightly better than MODIS 1ST product; and 3) through the cross validation using Advanced Spaceborne Thermal Emission and Reflection Radiometer 1ST product, the RMSE of the RBSWA algorithm was 2.23 K and was 0.28 K less than that of MODIS 1ST product. We conclude that the RBSWA for 1ST retrieval from MODIS data can attain a better accuracy than the BTBSWA.
WOS关键词WATER-VAPOR RETRIEVAL ; RADIATION BUDGET NETWORK ; EMISSIVITY RETRIEVAL ; PRECIPITABLE WATER ; SURFRAD ; PRODUCTS ; VALIDATION ; DROUGHT
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA190090300] ; National Key Research and Development Programs of China[2016YFB0501502] ; National Key Research and Development Programs of China[2016YFA0600302] ; National Natural Science Foundation of China[61801443] ; National Natural Science Foundation of China[61401461]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000457660800017
出版者ELSEVIER SCIENCE BV
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Programs of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/49839]  
专题中国科学院地理科学与资源研究所
通讯作者He, Guojin; Zhang, Zhaoming
作者单位1.China Univ Geosci Wuhan, Fac Informat Engn, Wuhan, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
3.Key Lab Earth Observat Hainan Prov, Sanya, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
5.Longyan Univ, Coll Resources Engn, Longyan, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Mengmeng,He, Guojin,Zhang, Zhaoming,et al. A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2019,76:204-217.
APA Wang, Mengmeng.,He, Guojin.,Zhang, Zhaoming.,Wang, Guizhou.,Wang, Zhihua.,...&Cao, Xiaojie.(2019).A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,76,204-217.
MLA Wang, Mengmeng,et al."A radiance-based split-window algorithm for land surface temperature retrieval: Theory and application to MODIS data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 76(2019):204-217.

入库方式： OAI收割

来源：地理科学与资源研究所

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