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-Bo4; Li, Zhao-Liang1,4; Gao, Caixia2; Zhao, Wei3 ; Wu, Hua1; Qian, Yonggang2; Leng, Pei4; Gao, Maofang4
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| 刊名 | Remote Sensing of Environment
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| 出版日期 | 2020 |
| 卷号 | 245页码:111852 |
| 关键词 | High spatial resolution satellite imagery High spatial resolution thermal infrared imagery Land surface temperature retrievals Radiative Transfer Equation(RTE) Radiative transfer simulations Radiative transfer theory Single-channel algorithms Visible and near infrared |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2020.111852 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 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. © 2020 Elsevier Inc. |
| 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.imde.ac.cn/handle/131551/34642]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Li, Zhao-Liang |
| 作者单位 | 1.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China; 2.Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing; 100094, China; 3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu; 610041, China 4.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing; 100081, 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,2020,245:111852. |
| 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,245,111852. |
| 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):111852. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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