Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city
文献类型：期刊论文
| 作者 | Wang, Dandan2,3; Hu, Leiqiu4; Voogt, James A.5; Chen, Yunhao1,3,9; Zhou, Ji6; Chang, Gaijing2; Quan, Jinling7; Zhan, Wenfeng8; Kang, Zhizhong2 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2024 |
| 卷号 | 300页码:15 |
| 关键词 | Thermal infrared remote sensing Thermal anisotropy Land surface temperature Urban areas Parametric model GUTA-T |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2023.113893 |
| 通讯作者 | Chen, Yunhao(cyh@bnu.edu.cn) |
| 英文摘要 | The directional variation in upwelling thermal radiance (known as 'thermal anisotropy') affects our understanding of urban land surface temperature (LST) from remote sensing observations. Parametric models have been proposed to quantify and potentially correct the thermal anisotropy from satellite systems. The accurate specification of the coefficients is critical for broadening applications of parametric models. However, the current research is limited to only one study area or one particular approach which often does not sufficiently offer transformative understanding for effective applications over other metropolitan areas. This study focuses on systematically evaluating schemes that determine the model coefficients. We use a geometric model to simulate Urban Thermal Anisotropy Time-series (GUTA-T) and propose different approaches to determine the physicallyinterpretable parameters. The model and solution schemes reduce the uncertainties caused by observational errors and simplifications of complex urban surfaces. The three schemes include estimating parameter values using component urban surface temperatures obtained from model simulations (Scheme #1mod) or field observations (Scheme #1obs) ('forward' approach), inverting parameter values from known anisotropy (Scheme #2) and from multi-angular LST observations (Scheme #3) ('backward' approach). The three schemes were separately evaluated and compared to an independent airborne dataset. These schemes have consistent results. The root mean square errors (RMSE) between LST anisotropy from the three schemes and airborne measurements are ranked as: Scheme #3 (1.0 K) < Scheme #2 (1.2 K) < Scheme #1 (based on field data) (1.3 K) < Scheme #1 (based on TUF3D simulation) (1.5 K), whereas the overall amplitude of the variation of directional temperature averaged over the 5 flights is 11.9 K. The inverted parameter values from the three schemes agree well with the results from field measurements. The three schemes have advantages and disadvantages, and are expected to be combined depending on the available input data. These schemes represent multiple options to quantify and/or correct the anisotropic impact from remote sensing LST for urban applications. |
| WOS关键词 | ENERGY-BALANCE MODEL ; LOCAL CLIMATE ZONES ; SURFACE-TEMPERATURE ; ANGULAR VARIATIONS ; GEOMETRIC MODEL ; EMISSIVITY ; ACCURACY ; SUPPORT ; IMPACT ; AREAS |
| 资助项目 | National Natural Science Foundation of China[42101333] ; National Natural Science Foundation of China[42171316] ; Fundamental Research Funds for the Central Universities[2652020021] ; Open Fund of State Key Laboratory of Remote Sensing Science[OFSLRSS202102] ; Natural Sciences and Engineering Research Council of Canada ; Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonwealth Research Institutes[AR2213] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001110922200001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Open Fund of State Key Laboratory of Remote Sensing Science ; Natural Sciences and Engineering Research Council of Canada ; Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonwealth Research Institutes |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200609]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Yunhao |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, Beijing Key Lab Environm Remote Sensing & Digital, Beijing 100875, Peoples R China 2.China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China 3.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 4.Univ Alabama Huntsville, Dept Atmospher & Earth Sci, Huntsville, AL 35899 USA 5.Univ Western Ontario, Dept Geog & Environm, London, ON N6A 5C2, Canada 6.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 8.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China 9.19 Xinjiekouwai St, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Dandan,Hu, Leiqiu,Voogt, James A.,et al. Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city[J]. REMOTE SENSING OF ENVIRONMENT,2024,300:15. |
| APA | Wang, Dandan.,Hu, Leiqiu.,Voogt, James A..,Chen, Yunhao.,Zhou, Ji.,...&Kang, Zhizhong.(2024).Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city.REMOTE SENSING OF ENVIRONMENT,300,15. |
| MLA | Wang, Dandan,et al."Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city".REMOTE SENSING OF ENVIRONMENT 300(2024):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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