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Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval

文献类型：期刊论文

作者Duan, Si-Bo1; Li, Zhao-Liang1,2; Gao, Caixia3; Zhao, Wei4; Wu, Hua2; Qian, Yonggang3; Leng, Pei1; Gao, Maofang1
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2020-08-01
卷号245页码:16
关键词Adjacency effect Radiative transfer simulation High-spatial-resolution Thermal infrared Land surface temperature
ISSN号0034-4257
DOI10.1016/j.rse.2020.111852
通讯作者Li, Zhao-Liang(lizhaoliang@caas.cn)
英文摘要The influence of adjacency effect on high-spatial-resolution satellite imagery in the visible and near infrared region has been studies since the 1980s. However, the adjacency effect is usually neglected in the thermal infrared (TIR) region. The conventional TIR radiative transfer equation (RTE) only takes into account radiance from target pixel and neglects radiance contribution from surrounding background pixels. In this study, two TIR RTEs taking into account the adjacency effect for uniform and non-uniform Lambertian surfaces were deduced based on the radiative transfer theory. In terms of the TIR RTEs, we analyze the dominating influence factors of the adjacency effect and quantify the magnitude of the adjacency effect in the TIR region using simulation and actual satellite data. Two different definitions of the adjacency effect are presented in this study: (1) the effect due to radiance from background pixels scattered into sensor's instantaneous field of view, and (2) the effect due to apparent thermal contrast between target and background pixels. The results show that atmospheric visibility, water vapor content, sensor spectral band, and background pixel land surface temperature (LST) have significant influence on the adjacency effect. For a specific simulation scene, the magnitude of the first definition of the adjacency effect is larger than 0.5 K when atmospheric visibility is lower than 23 km. This magnitude is as much as 2 K under haze weather conditions with atmospheric visibility of 5 km. The results indicate that the adjacency effect should be taken into account in the radiative transfer simulation. The magnitude of the second definition of the adjacency effect is less than 0.3 K, even at atmospheric visibility of 5 km. The results reveal that the accuracy of the TIR RTE for a uniform Lambertian surface is enough for the development of LST retrieval algorithm under relatively haze weather conditions. In situ LST measurements collected at the Hailar, Urad Front Banner, and Wuhai sites in China were used to validate the accuracies of the LST retrieved by the RTE-based single channel algorithm with/without adjacency effect correction. There are nearly no discrepancies between the LST retrieved with/without adjacency effect correction when aerosol optical depth (AOD) is low than 0.3. However, the RMSE of the differences between the retrieved LST and the in situ LST decreases from approximately 1.4 K for the LST retrieved without adjacency effect correction to approximately 0.6 K for the LST retrieved with adjacency effect correction when AOD is high than 0.3.
WOS关键词ATMOSPHERIC CORRECTION ALGORITHM ; RADIANCE-BASED VALIDATION ; SPLIT-WINDOW ALGORITHM ; POINT-SPREAD FUNCTION ; HYPERSPECTRAL IMAGERY ; SCATTERING ; MODIS ; CALIBRATION ; ASTER
资助项目National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41671370] ; National Key R&D Program of China[2018YFB0504800] ; National Key R&D Program of China[2018YFB0504804] ; Youth Innovation Promotion Association CAS, China[2016333] ; Bureau of International Co-operation Chinese Academy of Sciences[181811KYSB20160040]
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000537687300014
出版者ELSEVIER SCIENCE INC
资助机构National Natural Science Foundation of China ; National Key R&D Program of China ; Youth Innovation Promotion Association CAS, China ; Bureau of International Co-operation Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/159504]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Zhao-Liang
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Acad Optoelect, Key Lab Quantitat Remote Sensing Informat Technol, Beijing 100094, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714		 Duan, Si-Bo,Li, Zhao-Liang,Gao, Caixia,et al. Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval[J]. REMOTE SENSING OF ENVIRONMENT,2020,245:16.
APA Duan, Si-Bo.,Li, Zhao-Liang.,Gao, Caixia.,Zhao, Wei.,Wu, Hua.,...&Gao, Maofang.(2020).Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval.REMOTE SENSING OF ENVIRONMENT,245,16.
MLA Duan, Si-Bo,et al."Influence of adjacency effect on high-spatial-resolution thermal infrared imagery: Implication for radiative transfer simulation and land surface temperature retrieval".REMOTE SENSING OF ENVIRONMENT 245(2020):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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