Retrieval of Rugged Mountainous Areas Land Surface Temperature From High-Spatial-Resolution Thermal Infrared Remote Sensing Data
文献类型：期刊论文
| 作者 | He, Zhi-Wei1,2; Tang, Bo-Hui1,2,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 61页码:16 |
| 关键词 | Adjacent effect Landsat-9 data mountainous surface temperature thermal infrared (TIR) remote sensing topographic effect |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2023.3316624 |
| 通讯作者 | Tang, Bo-Hui(tangbh@kust.edu.cn) |
| 英文摘要 | Mountainous land surface temperature (MLST) is one of the key surface feature parameters in studying mountainous climate change. However, for the high-spatial-resolution thermal infrared (TIR) remote sensing images, the current land surface temperature (LST) retrieval algorithms were developed without enough accounting for terrain geometry and adjacent effect, which is not suitable for retrieving LST over rugged mountainous surfaces. To overcome this problem, a new method was developed to estimate the small-scale self-heating parameter (SSP) of mountainous pixels to quantify the proportion of internal thermal radiation intercepted, and the mountainous canopy effective land surface emissivity (MLSE) was defined and modeled based on SSP. A novel mountainous canopy multiple scattering TIR radiative transfer (MMS-TIR-RT) model based on SSP and sky-view factor (SVF) was developed to eliminate thermal radiance contribution from inside/adjacent pixels and the atmosphere and to restore the thermal radiation characteristics of pixels themselves. Based on this model, a new framework of mountainous single-channel (MSC) algorithm was developed for MLST retrieval from TIR data of Landsat-9 TIRS-2 sensor. In accordance with simulated data analysis, SSP, SVF, atmospheric water vapor content (WVC), land surface emissivity (LSE) of target pixel, and mean LST and LSE of the proximity pixels are the main influence factors on the magnitude of the topographic effect and adjacent effect (T-A effect). Among them, SSP plays a decisive role in the mountainous canopy effective emissivity when the emissivity of the original material is low. The retrieval LST differences (delta LST) between the MSC algorithm and conventional single-channel (SC) algorithm (without considering the T-A effect) from Landsat-9 TIR images are related to SSP and SVF. The results showed that the inversion of LST can be overestimated by up to 4.5 K without considering the T-A effect correction in the rugged mountainous areas. Comparing brightness temperature (BT) at the top of atmosphere (TOA) simulated by the discrete anisotropic radiative transfer (DART) model and TOA BT from radiance of TIRS-2 band 10, there are good consistencies between the spatial distributions at the three subregions, with the root-mean-squared error (RMSE) less than 0.62 K. The findings demonstrated the need for T-A effect to be considered in the retrieval of high-precision MLST. |
| WOS关键词 | SKY-VIEW FACTOR ; DIRECTIONAL EMISSIVITY ; RADIATIVE-TRANSFER ; TIBETAN PLATEAU ; ROUGHNESS ; MODEL ; ALGORITHM ; PERFORMANCE ; VALIDATION ; ACCURACY |
| 资助项目 | National Natural Science Foundation of China[42230109] ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province[41961053] ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST) |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001102413500015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200255]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China 2.Dept Educ Yunnan Prov, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Zhi-Wei,Tang, Bo-Hui. Retrieval of Rugged Mountainous Areas Land Surface Temperature From High-Spatial-Resolution Thermal Infrared Remote Sensing Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:16. |
| APA | He, Zhi-Wei,&Tang, Bo-Hui.(2023).Retrieval of Rugged Mountainous Areas Land Surface Temperature From High-Spatial-Resolution Thermal Infrared Remote Sensing Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,16. |
| MLA | He, Zhi-Wei,et al."Retrieval of Rugged Mountainous Areas Land Surface Temperature From High-Spatial-Resolution Thermal Infrared Remote Sensing Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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