Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm
A directional polarimetric camera (DPC) is a key payload on board China’s Gaofen 5B (hereafter denoted as GF-5B) satellite, a hyperspectral observation instrument for monitoring aerosols. On the basis of the dark dense vegetation (DDV) algorithm, this study applied DDV algorithm to DPC measurements....
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/2/241 |
| _version_ | 1797622420855586816 |
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| author | Ruijie Zhang Wei Zhou Hui Chen Lianhua Zhang Lijuan Zhang Pengfei Ma Shaohua Zhao Zhongting Wang |
| author_facet | Ruijie Zhang Wei Zhou Hui Chen Lianhua Zhang Lijuan Zhang Pengfei Ma Shaohua Zhao Zhongting Wang |
| author_sort | Ruijie Zhang |
| collection | DOAJ |
| description | A directional polarimetric camera (DPC) is a key payload on board China’s Gaofen 5B (hereafter denoted as GF-5B) satellite, a hyperspectral observation instrument for monitoring aerosols. On the basis of the dark dense vegetation (DDV) algorithm, this study applied DDV algorithm to DPC measurements. First, the reflectance of vegetation in three channels (0.443, 0.49, and 0.675 μm) was analyzed, and inversion channels were identified. Subsequently, the decrease in normalized difference vegetation index associated with various view angles was simulated, and the optimal view angle for extracting dark pixels was determined. Finally, the top-of-atmosphere reflectance at different view angles was simulated to determine the optimal view angle for aerosol inversion. The inversion experiments were conducted by using DPC data collected over North China from November 2021 to January 2022. The results revealed that DDV algorithm could monitor pollution from 30 December 2021 to 4 January 2022, and the inversion results were strongly correlated with Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product and AERONET station data (R > 0.85). |
| first_indexed | 2024-03-11T09:11:05Z |
| format | Article |
| id | doaj.art-7c7468668f4844e2bd3db4f3d2d2e968 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T09:11:05Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-7c7468668f4844e2bd3db4f3d2d2e9682023-11-16T19:02:04ZengMDPI AGAtmosphere2073-44332023-01-0114224110.3390/atmos14020241Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation AlgorithmRuijie Zhang0Wei Zhou1Hui Chen2Lianhua Zhang3Lijuan Zhang4Pengfei Ma5Shaohua Zhao6Zhongting Wang7Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaSatellite Application Center for Ecology and Environment, Ministry of Ecology and Environment/State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, ChinaA directional polarimetric camera (DPC) is a key payload on board China’s Gaofen 5B (hereafter denoted as GF-5B) satellite, a hyperspectral observation instrument for monitoring aerosols. On the basis of the dark dense vegetation (DDV) algorithm, this study applied DDV algorithm to DPC measurements. First, the reflectance of vegetation in three channels (0.443, 0.49, and 0.675 μm) was analyzed, and inversion channels were identified. Subsequently, the decrease in normalized difference vegetation index associated with various view angles was simulated, and the optimal view angle for extracting dark pixels was determined. Finally, the top-of-atmosphere reflectance at different view angles was simulated to determine the optimal view angle for aerosol inversion. The inversion experiments were conducted by using DPC data collected over North China from November 2021 to January 2022. The results revealed that DDV algorithm could monitor pollution from 30 December 2021 to 4 January 2022, and the inversion results were strongly correlated with Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product and AERONET station data (R > 0.85).https://www.mdpi.com/2073-4433/14/2/241aerosoldark dense vegetation (DDV)directional polarimetric camera (DPC)Gaofen-5B (GF-5B)remote sensing |
| spellingShingle | Ruijie Zhang Wei Zhou Hui Chen Lianhua Zhang Lijuan Zhang Pengfei Ma Shaohua Zhao Zhongting Wang Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm Atmosphere aerosol dark dense vegetation (DDV) directional polarimetric camera (DPC) Gaofen-5B (GF-5B) remote sensing |
| title | Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm |
| title_full | Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm |
| title_fullStr | Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm |
| title_full_unstemmed | Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm |
| title_short | Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm |
| title_sort | aerosol information retrieval from gf 5b dpc data over north china using the dark dense vegetation algorithm |
| topic | aerosol dark dense vegetation (DDV) directional polarimetric camera (DPC) Gaofen-5B (GF-5B) remote sensing |
| url | https://www.mdpi.com/2073-4433/14/2/241 |
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