Land surface temperature retrieval from SDGSAT-1 thermal infrared spectrometer images: Algorithm and validation

发布时间： 2024-09-11 点击次数：

• 影响因子：11.1
• DOI码：10.1016/j.rse.2024.114412
• 发表刊物：Remote Sensing of Environment
• 关键字：SDGSAT-1 Thermal infrared (TIR) Remote sensing Land surface temperature (LST)
• 摘要：Launched by China in 2021, the Sustainable Development Goals Science Satellite 1 (SDGSAT-1) is the world's first science satellite dedicated to serving the United Nations 2030 Agenda for sustainable Development Goals. In keeping with international aims of this 2030 agenda, the SDGSAT-1 data will be made available for open access without any restrictions. The Thermal Infrared Spectrometer (TIS) onboard SDGSAT-1 has three thermal infrared channels with a high spatial resolution of 30 m. This enables precise monitoring of land surface temperature (LST), which is one of the most important variables measured by satellite remote sensing. This paper presents the development and validation of three split-window (SW) algorithms and the temperature and emissivity sepa¬ration (TES) algorithm for SDGSAT-1 TIS data. These algorithms were rigorously tested through simulation, application, and validation to assess their retrieval accuracy and sensitivity. Simulation results indicate that the theoretical accuracy of the SW algorithms exceeds 1.0 K in most cases, and the TES algorithm shows higher retrieval accuracy with an average LST Root Mean Square Error (RMSE) of 0.60 K. With consideration of the comprehensive effects of instrument noise, land surface emissivity, and atmospheric parameter error, the LST retrieval accuracy of SW algorithms remains better than 1.7 K, and that of the TES algorithm is better than 1.5 K under most conditions. The ground validation utilized site data from the Heihe Integrated Observatory Network and the Surface Radiation budget network. The SW and TES algorithms achieved an accuracy of approximately 1.75 and 1.9 K, respectively. Additionally, a cross-validation based on Moderate Resolution Imaging Spectroradiometer (MODIS) data indicated average RMSDs of approximately 2.25 K for SW algorithms and 3.84 K for TES algorithm. Among the algorithms, the three-channel SW algorithm SW-2 has the best overall performance and is recommended as the LST retrieval method for SDGSAT-1 data. The TES algorithm is also suitable for SDGSAT-1 images because of its ability to retrieve LST and emissivity during both daytime and nighttime.
• 论文类型：期刊论文
• 论文编号：114412
• 学科门类：理学
• 一级学科：地理学
• 文献类型：J
• 卷号：315
• 期号：114412
• 是否译文：否
• 收录刊物：SCI
• 发布期刊链接：https://linkinghub.elsevier.com/retrieve/pii/S0034425724004383
• 第一作者：Yuanjian Teng
• 通讯作者：Huazhong Ren
• 全部作者：Changyong Dou,Yonghong Hu
• 发表时间：2024-09-03