An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands
Accurate land surface reflectance plays an important role in the accurate inversion of surface parameters, and atmospheric correction plays a decisive role in obtaining accurate reflectance. For GF-1 WFV and GF-6 WFV images, there are two major issues to be addressed, including the spectral differen...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Egyptian Journal of Remote Sensing and Space Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110982323000601 |
| _version_ | 1797642568476917760 |
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| author | Yi Dong Wei Su Fu Xuan Jiayu Li Feng Yin Jianxi Huang Yelu Zeng Xuecao Li Wancheng Tao |
| author_facet | Yi Dong Wei Su Fu Xuan Jiayu Li Feng Yin Jianxi Huang Yelu Zeng Xuecao Li Wancheng Tao |
| author_sort | Yi Dong |
| collection | DOAJ |
| description | Accurate land surface reflectance plays an important role in the accurate inversion of surface parameters, and atmospheric correction plays a decisive role in obtaining accurate reflectance. For GF-1 WFV and GF-6 WFV images, there are two major issues to be addressed, including the spectral differences between nadir with far off-nadir pixels and the spatial variability of atmospheric components for wide imaging. Therefore, this study focuses on these two issues using the Sensor Invariant Atmospheric Correction (SIAC) method. Our results reveal that the SIAC approach improves the correlation accuracy from 0.8868 to 0.9173 for GF-1 WFV image compared with Sentinel-2 reflectance, from 0.9530 to 0.9620 for GF-6 WFV image compared with the results using FLAASH model. For alleviating wide-swathed anisotropy, the directional imaging angle is calculated with the result ranging from 5.6450° to 33.7497°. Furthermore, the atmospheric components have been inversed pixel by pixel with obvious spatial variation. And the correlation of inversed aerosol optical thickness (AOT) and total column water vapor (TCWV) with a spatial resolution of 500 m TCWV with measured results of AERONET (AErosol RObotic NETwork) observation stations are 0.9175 and 0.4442, respectively. These results reveal that the atmospheric correction method works well, which is effective for the wide swath of Chinese GF-1 WFV and GF-6 WFV images on land. |
| first_indexed | 2024-03-11T14:02:02Z |
| format | Article |
| id | doaj.art-551fff966cb74e9c9a119145603b74c8 |
| institution | Directory Open Access Journal |
| issn | 1110-9823 |
| language | English |
| last_indexed | 2024-03-11T14:02:02Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Egyptian Journal of Remote Sensing and Space Sciences |
| spelling | doaj.art-551fff966cb74e9c9a119145603b74c82023-11-02T04:13:14ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232023-12-01263732746An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on landsYi Dong0Wei Su1Fu Xuan2Jiayu Li3Feng Yin4Jianxi Huang5Yelu Zeng6Xuecao Li7Wancheng Tao8College of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China; Corresponding author.College of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaDepartment of Geography, University College London, Gower Street, London WC1E 6BT, UKCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, China; Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, ChinaAccurate land surface reflectance plays an important role in the accurate inversion of surface parameters, and atmospheric correction plays a decisive role in obtaining accurate reflectance. For GF-1 WFV and GF-6 WFV images, there are two major issues to be addressed, including the spectral differences between nadir with far off-nadir pixels and the spatial variability of atmospheric components for wide imaging. Therefore, this study focuses on these two issues using the Sensor Invariant Atmospheric Correction (SIAC) method. Our results reveal that the SIAC approach improves the correlation accuracy from 0.8868 to 0.9173 for GF-1 WFV image compared with Sentinel-2 reflectance, from 0.9530 to 0.9620 for GF-6 WFV image compared with the results using FLAASH model. For alleviating wide-swathed anisotropy, the directional imaging angle is calculated with the result ranging from 5.6450° to 33.7497°. Furthermore, the atmospheric components have been inversed pixel by pixel with obvious spatial variation. And the correlation of inversed aerosol optical thickness (AOT) and total column water vapor (TCWV) with a spatial resolution of 500 m TCWV with measured results of AERONET (AErosol RObotic NETwork) observation stations are 0.9175 and 0.4442, respectively. These results reveal that the atmospheric correction method works well, which is effective for the wide swath of Chinese GF-1 WFV and GF-6 WFV images on land.http://www.sciencedirect.com/science/article/pii/S1110982323000601Atmospheric correctionWide swathGF-1 WFVGF-6 WFV |
| spellingShingle | Yi Dong Wei Su Fu Xuan Jiayu Li Feng Yin Jianxi Huang Yelu Zeng Xuecao Li Wancheng Tao An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands Egyptian Journal of Remote Sensing and Space Sciences Atmospheric correction Wide swath GF-1 WFV GF-6 WFV |
| title | An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands |
| title_full | An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands |
| title_fullStr | An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands |
| title_full_unstemmed | An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands |
| title_short | An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands |
| title_sort | effective atmospheric correction method for the wide swath of chinese gf 1 and gf 6 wfv images on lands |
| topic | Atmospheric correction Wide swath GF-1 WFV GF-6 WFV |
| url | http://www.sciencedirect.com/science/article/pii/S1110982323000601 |
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