Revisit of the Temperature and Emissivity Separation (TES) Algorithm Toward Model Refinement
文献类型：期刊论文
| 作者 | Zhang, Huanyu6,7,8; Hu, Tian6; Tang, Bo-Hui3,4,5,8; Olioso, Albert2; Didry, Yoanne6; Mallick, Kanishka6; Hitzelberger, Patrik6; Jiang, Yun7,8; Cheng, Yuanliang7,8; Szantoi, Zoltan1 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 63页码:5001916 |
| 关键词 | Atmospheric modeling Land surface temperature Temperature measurement Atmospheric measurements Land surface Uncertainty Temperature sensors Nanoelectromechanical systems Noise measurement Noise Cavity effect land surface temperature (LST) temperature and emissivity separation (TES) uncertainty analysis |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2025.3540710 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | constellation of high-resolution thermal infrared (TIR) missions is expected to be launched in the upcoming years. Land surface temperature (LST), as a key parameter retrieved from TIR observations, constrains the variations in energy and water exchanges in the surface-atmosphere continuum. The widely used temperature and emissivity separation (TES) algorithm stands as a promising candidate for LST retrieval from these future missions due to the availability of >= 3 TIR bands. To explore the possibilities of further refinements of TES, a revisit of the TES algorithm in terms of the error propagation from different sources is necessary. Until now, the respective uncertainties introduced by the three modules in TES (i.e., the normalized emissivity method (NEM), the ratio algorithm (RATIO), and the maximum minimum difference (MMD) module) remain unclear. In addition, the controversy over the performances of TES on gray and nongray bodies is still unresolved. To address these research gaps, a comprehensive simulation analysis was conducted for the ECOsystem and Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) sensor to quantify the independent impact of each error source in TES on LST retrieval accuracy, including: 1) sensor measurement noise; 2) atmospheric correction errors; 3) the NEM and RATIO modules; and 4) the MMD module. The respective responses of gray and nongray bodies to these factors were also compared based on the simulation dataset. Furthermore, the influence of the calibration scale of the minimum emissivity (epsilon(min))-MMD relationship (i.e., cavity effect within vegetation canopies) was evaluated using the ECOSTRESS observations at 11 vegetated ground sites. The simulation analyses revealed that the error in atmospheric correction is the dominant impact factor significantly affecting the performances of all the other modules in TES, followed by the deviation from the regressed relationship in the MMD module. The measurement noise has minor impacts when it is well-controlled (e.g., NEdT <= 0.1 K), and uncertainties caused by the NEM and RATIO modules are negligible. The performance discrepancy of TES over gray and nongray bodies is insignificant under low measurement noise, a condition anticipated to be met by the majority of current and future sensors. Regarding the calibration scale, the benefit of cavity effect correction is not evident according to the evaluation using the ground measurements. Based on the analyses, it is recommended that more efforts should be put into refining the atmospheric correction module and improving the fitting of emissivity samples to the epsilon(min)-MMD curve. In contrast, the expected benefits of refining the NEM and RATIO modules appear minimal. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; PHYSICS-BASED ALGORITHM ; SPLIT-WINDOW ALGORITHM ; ATMOSPHERIC CORRECTION ; SIMULTANEOUS RETRIEVAL ; ASTER TEMPERATURE ; PRODUCTS ; CANOPY ; MODIS ; PERFORMANCE |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001434801400018 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213362]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Hu, Tian; Tang, Bo-Hui |
| 作者单位 | 1.European Space Agcy, Directorate Earth Observat Programmes, I-00044 Frascati, Italy 2.INRAE, Unite Rech Ecol Forets Mediterraneennes URFM, F-84914 Avignon, France; 3.Yunnan Int Joint Lab Integrated Sky Ground Intelli, Kunming 650093, Peoples R China; 4.Yunnan Key Lab Quantitat Remote Sensing, Kunming 650093, Peoples R China; 5.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China; 6.Luxembourg Inst Sci & Technol, L-4362 Esch Sur Alzette, Luxembourg; 7.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 8.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 | Zhang, Huanyu,Hu, Tian,Tang, Bo-Hui,et al. Revisit of the Temperature and Emissivity Separation (TES) Algorithm Toward Model Refinement[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:5001916. |
| APA | Zhang, Huanyu.,Hu, Tian.,Tang, Bo-Hui.,Olioso, Albert.,Didry, Yoanne.,...&Szantoi, Zoltan.(2025).Revisit of the Temperature and Emissivity Separation (TES) Algorithm Toward Model Refinement.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,5001916. |
| MLA | Zhang, Huanyu,et al."Revisit of the Temperature and Emissivity Separation (TES) Algorithm Toward Model Refinement".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):5001916. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。