Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval
Thermal infrared (TIR) remote sensing technology is capable of acquiring large-scale land surface temperature (LST), which is a key factor in the energy exchange between land surface and atmosphere. The visible and infrared multispectral sensor (VIMS) equipped in the Chinese Gaofen-5 (GF-5) satellit...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-09-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421000647 |
| _version_ | 1811229686768861184 |
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| author | Xin Ye Huazhong Ren Yanzhen Liang Jinshun Zhu Jinxin Guo Jing Nie Hui Zeng Yanhua Zhao Yonggang Qian |
| author_facet | Xin Ye Huazhong Ren Yanzhen Liang Jinshun Zhu Jinxin Guo Jing Nie Hui Zeng Yanhua Zhao Yonggang Qian |
| author_sort | Xin Ye |
| collection | DOAJ |
| description | Thermal infrared (TIR) remote sensing technology is capable of acquiring large-scale land surface temperature (LST), which is a key factor in the energy exchange between land surface and atmosphere. The visible and infrared multispectral sensor (VIMS) equipped in the Chinese Gaofen-5 (GF-5) satellite can obtain four channels of TIR images with a 40 m spatial resolution. However, due to the change of working environment, the TIR sensor suffers a low-accurate radiometric calibration that needs improvement. This paper puts forward a new cross-calibration for GF-5/VIMS TIR images by linking the top of the atmosphere (TOA) radiance of the vertical angle MODIS observation with the GF-5/VIMS image to estimate the radiometric calibration coefficients, Gain and Offset. To verify the recalibration performance, a new nonlinear two-channel split-window (SW) algorithm and a light gradient boosting machine (LightGBM) method which is used to refine LST from the SW algorithm by minimizing the residuals, were developed for the recalibrated GF-5/VIMS TIR 3 and TIR 4 channels. The radiometric cross-calibration algorithm and the optimized SW algorithm were applied to real GF-5/VIMS TIR images. The validation results showed that the brightness temperature and LST were improved significantly, and the LST retrieval error was reduced greatly to 1.79 K after recalibration, indicating a large improvement of the LST retrieval for GF-5/VIMS TIR image using the proposed cross-calibration and SW algorithms. |
| first_indexed | 2024-04-12T10:18:42Z |
| format | Article |
| id | doaj.art-026ac9c179484c499871564d17a52956 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-12T10:18:42Z |
| publishDate | 2021-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-026ac9c179484c499871564d17a529562022-12-22T03:37:09ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-09-01101102357Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrievalXin Ye0Huazhong Ren1Yanzhen Liang2Jinshun Zhu3Jinxin Guo4Jing Nie5Hui Zeng6Yanhua Zhao7Yonggang Qian8Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, China; Corresponding authors at: Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China, and with Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, China.Earth Observation System and Data Center, China National Space Administration, Beijing 100101, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China; Beijing Key Lab of Spatial Information Integration and Its Application, Peking University, Beijing 100871, ChinaBeijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaKey Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, ChinaThermal infrared (TIR) remote sensing technology is capable of acquiring large-scale land surface temperature (LST), which is a key factor in the energy exchange between land surface and atmosphere. The visible and infrared multispectral sensor (VIMS) equipped in the Chinese Gaofen-5 (GF-5) satellite can obtain four channels of TIR images with a 40 m spatial resolution. However, due to the change of working environment, the TIR sensor suffers a low-accurate radiometric calibration that needs improvement. This paper puts forward a new cross-calibration for GF-5/VIMS TIR images by linking the top of the atmosphere (TOA) radiance of the vertical angle MODIS observation with the GF-5/VIMS image to estimate the radiometric calibration coefficients, Gain and Offset. To verify the recalibration performance, a new nonlinear two-channel split-window (SW) algorithm and a light gradient boosting machine (LightGBM) method which is used to refine LST from the SW algorithm by minimizing the residuals, were developed for the recalibrated GF-5/VIMS TIR 3 and TIR 4 channels. The radiometric cross-calibration algorithm and the optimized SW algorithm were applied to real GF-5/VIMS TIR images. The validation results showed that the brightness temperature and LST were improved significantly, and the LST retrieval error was reduced greatly to 1.79 K after recalibration, indicating a large improvement of the LST retrieval for GF-5/VIMS TIR image using the proposed cross-calibration and SW algorithms.http://www.sciencedirect.com/science/article/pii/S0303243421000647Land surface temperatureRadiometric calibrationSplit-window algorithmResidual optimizationGaofen-5 satellite |
| spellingShingle | Xin Ye Huazhong Ren Yanzhen Liang Jinshun Zhu Jinxin Guo Jing Nie Hui Zeng Yanhua Zhao Yonggang Qian Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval International Journal of Applied Earth Observations and Geoinformation Land surface temperature Radiometric calibration Split-window algorithm Residual optimization Gaofen-5 satellite |
| title | Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval |
| title_full | Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval |
| title_fullStr | Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval |
| title_full_unstemmed | Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval |
| title_short | Cross-calibration of Chinese Gaofen-5 thermal infrared images and its improvement on land surface temperature retrieval |
| title_sort | cross calibration of chinese gaofen 5 thermal infrared images and its improvement on land surface temperature retrieval |
| topic | Land surface temperature Radiometric calibration Split-window algorithm Residual optimization Gaofen-5 satellite |
| url | http://www.sciencedirect.com/science/article/pii/S0303243421000647 |
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