New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs
Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2020.1731619 |
| _version_ | 1797678544760864768 |
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| author | Huazhong Ren Jiaji Dong Rongyuan Liu Yitong Zheng Jinxin Guo Shanshan Chen Jing Nie Yan Zhao |
| author_facet | Huazhong Ren Jiaji Dong Rongyuan Liu Yitong Zheng Jinxin Guo Shanshan Chen Jing Nie Yan Zhao |
| author_sort | Huazhong Ren |
| collection | DOAJ |
| description | Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data input, by combining the split-window (SW) and temperature–emissivity separation (TES) algorithms. The SW algorithm is used to estimate surface-emitting radiance in adjacent TIR bands, and such radiance is applied to the TES algorithm to retrieve LST and LSE. The hybrid algorithm is implemented on five TIR bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Analysis shows that the hybrid algorithm can estimate LST and LSE with an error of 0.5–1.5 K and 0.007–0.020, respectively. Moreover, the LST error of the hybrid algorithm is equivalent to that of the original ASTER TES algorithm, involving 1%–2% uncertainty in atmospheric correction. The hybrid algorithm is validated using ground-measured LST at six sites and ASTER LST products, indicating that the temperature difference between the ASTER TES algorithm and the hybrid algorithm is 1.4 K and about 2.5–3.5 K compared to the ground measurement. Finally, the hybrid algorithm is applied to at two places. |
| first_indexed | 2024-03-11T23:01:23Z |
| format | Article |
| id | doaj.art-3cf7651b5c1d4cefaad6a54fe0baf8c7 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:01:23Z |
| publishDate | 2020-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-3cf7651b5c1d4cefaad6a54fe0baf8c72023-09-21T14:57:09ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552020-12-0113121430145310.1080/17538947.2020.17316191731619New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputsHuazhong Ren0Jiaji Dong1Rongyuan Liu2Yitong Zheng3Jinxin Guo4Shanshan Chen5Jing Nie6Yan Zhao7Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityChina Aero Geophysical Survey and Remote Sensing Center for Natural ResourcesInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking UniversityLand surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data input, by combining the split-window (SW) and temperature–emissivity separation (TES) algorithms. The SW algorithm is used to estimate surface-emitting radiance in adjacent TIR bands, and such radiance is applied to the TES algorithm to retrieve LST and LSE. The hybrid algorithm is implemented on five TIR bands of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). Analysis shows that the hybrid algorithm can estimate LST and LSE with an error of 0.5–1.5 K and 0.007–0.020, respectively. Moreover, the LST error of the hybrid algorithm is equivalent to that of the original ASTER TES algorithm, involving 1%–2% uncertainty in atmospheric correction. The hybrid algorithm is validated using ground-measured LST at six sites and ASTER LST products, indicating that the temperature difference between the ASTER TES algorithm and the hybrid algorithm is 1.4 K and about 2.5–3.5 K compared to the ground measurement. Finally, the hybrid algorithm is applied to at two places.http://dx.doi.org/10.1080/17538947.2020.1731619land surface temperature and emissivitytes algorithmsplit-window algorithmhybrid algorithm |
| spellingShingle | Huazhong Ren Jiaji Dong Rongyuan Liu Yitong Zheng Jinxin Guo Shanshan Chen Jing Nie Yan Zhao New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs International Journal of Digital Earth land surface temperature and emissivity tes algorithm split-window algorithm hybrid algorithm |
| title | New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs |
| title_full | New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs |
| title_fullStr | New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs |
| title_full_unstemmed | New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs |
| title_short | New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs |
| title_sort | new hybrid algorithm for land surface temperature retrieval from multiple band thermal infrared image without atmospheric and emissivity data inputs |
| topic | land surface temperature and emissivity tes algorithm split-window algorithm hybrid algorithm |
| url | http://dx.doi.org/10.1080/17538947.2020.1731619 |
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