A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data
Land surface temperature (LST) is a crucial parameter for representing the earth's surface energy balance. Thermal infrared remote sensing is the primary method for rapidly retrieving LST over large areas. The Chinese Atmospheric Environment Monitoring Satellite (DQ-1) is equipped with th...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10839136/ |
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| author | Yichao Li Hang Zhao Kun Li Jian Zeng Qiongqiong Lan Qijin Han You Wu Yonggang Qian |
| author_facet | Yichao Li Hang Zhao Kun Li Jian Zeng Qiongqiong Lan Qijin Han You Wu Yonggang Qian |
| author_sort | Yichao Li |
| collection | DOAJ |
| description | Land surface temperature (LST) is a crucial parameter for representing the earth's surface energy balance. Thermal infrared remote sensing is the primary method for rapidly retrieving LST over large areas. The Chinese Atmospheric Environment Monitoring Satellite (DQ-1) is equipped with the wide swath imager (WSI), which includes three thermal infrared bands capable of providing global LST retrieval. This article introduces a nonlinear hybrid algorithm that combines the split-window (SW) algorithm and the temperature and emissivity separation (TES) algorithm, and the accuracies of the three algorithms, including hybrid, SW and TES algorithm are analyzed. The results demonstrated that the root mean square errors of LST for SW, TES, and hybrid algorithm are approximately 2.11, 1.78, and 1.64 K, with mean absolute errors (of 1.72, 1.40, and 1.21 K using in situ measurements from the SURFRAD sites. Cross-validation with moderate-resolution imaging spectroradiometer (MODIS) LST products showed that the hybrid algorithm outperforms the SW and TES algorithms in retrieving LST, achieving reductions in LST error of 0.43 and 0.16 K at the Qinghai Lake site, and 0.67 and 0.06 K at the Dunhuang site, respectively. In summary, this study demonstrates that the nonlinear hybrid algorithm can accurately estimate LST from DQ1/WSI data. |
| format | Article |
| id | doaj-art-1903af59adef4191ad41b6813f086caa |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-1903af59adef4191ad41b6813f086caa2025-02-07T00:00:30ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01184050405910.1109/JSTARS.2025.352851710839136A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared DataYichao Li0https://orcid.org/0009-0006-3895-0599Hang Zhao1Kun Li2https://orcid.org/0000-0002-2232-1521Jian Zeng3Qiongqiong Lan4Qijin Han5You Wu6Yonggang Qian7https://orcid.org/0009-0003-3117-4062Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaChina Center for Resources Satellite Data and Application, Beijing, ChinaKey Laboratory of Digital Earth Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaChina Center for Resources Satellite Data and Application, Beijing, ChinaChina Center for Resources Satellite Data and Application, Beijing, ChinaChina Center for Resources Satellite Data and Application, Beijing, ChinaSurveying and Mapping Station in Xi'an, Shanxi, ChinaKey Laboratory of Digital Earth Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaLand surface temperature (LST) is a crucial parameter for representing the earth's surface energy balance. Thermal infrared remote sensing is the primary method for rapidly retrieving LST over large areas. The Chinese Atmospheric Environment Monitoring Satellite (DQ-1) is equipped with the wide swath imager (WSI), which includes three thermal infrared bands capable of providing global LST retrieval. This article introduces a nonlinear hybrid algorithm that combines the split-window (SW) algorithm and the temperature and emissivity separation (TES) algorithm, and the accuracies of the three algorithms, including hybrid, SW and TES algorithm are analyzed. The results demonstrated that the root mean square errors of LST for SW, TES, and hybrid algorithm are approximately 2.11, 1.78, and 1.64 K, with mean absolute errors (of 1.72, 1.40, and 1.21 K using in situ measurements from the SURFRAD sites. Cross-validation with moderate-resolution imaging spectroradiometer (MODIS) LST products showed that the hybrid algorithm outperforms the SW and TES algorithms in retrieving LST, achieving reductions in LST error of 0.43 and 0.16 K at the Qinghai Lake site, and 0.67 and 0.06 K at the Dunhuang site, respectively. In summary, this study demonstrates that the nonlinear hybrid algorithm can accurately estimate LST from DQ1/WSI data.https://ieeexplore.ieee.org/document/10839136/DQ-1 satelliteland surface temperature (LST)nonlinear hybrid algorithmsplit-window algorithmtemperature and emissivity separation (TES) algorithmvalidation |
| spellingShingle | Yichao Li Hang Zhao Kun Li Jian Zeng Qiongqiong Lan Qijin Han You Wu Yonggang Qian A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DQ-1 satellite land surface temperature (LST) nonlinear hybrid algorithm split-window algorithm temperature and emissivity separation (TES) algorithm validation |
| title | A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data |
| title_full | A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data |
| title_fullStr | A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data |
| title_full_unstemmed | A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data |
| title_short | A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data |
| title_sort | nonlinear hybrid algorithm for retrieving land surface temperatures from chinese atmospheric environment monitoring satellite thermal infrared data |
| topic | DQ-1 satellite land surface temperature (LST) nonlinear hybrid algorithm split-window algorithm temperature and emissivity separation (TES) algorithm validation |
| url | https://ieeexplore.ieee.org/document/10839136/ |
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