An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data
The four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) algorithm usi...
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| Format: | Article |
| Idioma: | English |
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MDPI AG
2021-01-01
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| Col·lecció: | Remote Sensing |
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| Accés en línia: | https://www.mdpi.com/2072-4292/13/2/280 |
| _version_ | 1827600935958872064 |
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| author | Fukun Yang Meng Fan Jinhua Tao |
| author_facet | Fukun Yang Meng Fan Jinhua Tao |
| author_sort | Fukun Yang |
| collection | DOAJ |
| description | The four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) algorithm using only four bands (visible–near infrared) of GF-1/WFV was adopted to retrieve the aerosol optical depth (AOD) at ~500 m resolution in this paper. An optimal reflectivity technique (ORT) method was proposed to construct monthly land surface reflectance (LSR) dataset through converting from MODIS LSR product according to the WFV and MODIS spectral response functions to make the relationship more suitable for GF-1/WFV. There is a good spatial coincidence between our retrieved GF-1/WFV AOD results and MODIS/Terra or Himawari-8/AHI AOD products at 550 nm, but GF-1/WFV AOD with higher resolution can better characterized the details of regional pollution. Additionally, our retrieved GF-1/WFV AOD (2016–2019) results showed a good agreement with AERONET ground-based AOD measurements, especially, at low levels of AOD. Based on the same LSR dataset transmitted from 2016–2018 MODIS LSR products, <i>R</i><sub>ORT</sub> of 2016–2018 and 2019 GF-1/WFV AOD retrievals can reach up to 0.88 and 0.94, respectively, while both of <i>RMSE</i><sub>ORT</sub> are smaller than 0.13. It is indicated that using the ORT method to deal with LSR information can make GF-1/WFV AOD retrieval algorithm more suitable and flexible. |
| first_indexed | 2024-03-09T04:45:10Z |
| format | Article |
| id | doaj.art-9aa590b0a0f64316bf9750b3cb15f14d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T04:45:10Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9aa590b0a0f64316bf9750b3cb15f14d2023-12-03T13:17:02ZengMDPI AGRemote Sensing2072-42922021-01-0113228010.3390/rs13020280An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera DataFukun Yang0Meng Fan1Jinhua Tao2College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaThe four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) algorithm using only four bands (visible–near infrared) of GF-1/WFV was adopted to retrieve the aerosol optical depth (AOD) at ~500 m resolution in this paper. An optimal reflectivity technique (ORT) method was proposed to construct monthly land surface reflectance (LSR) dataset through converting from MODIS LSR product according to the WFV and MODIS spectral response functions to make the relationship more suitable for GF-1/WFV. There is a good spatial coincidence between our retrieved GF-1/WFV AOD results and MODIS/Terra or Himawari-8/AHI AOD products at 550 nm, but GF-1/WFV AOD with higher resolution can better characterized the details of regional pollution. Additionally, our retrieved GF-1/WFV AOD (2016–2019) results showed a good agreement with AERONET ground-based AOD measurements, especially, at low levels of AOD. Based on the same LSR dataset transmitted from 2016–2018 MODIS LSR products, <i>R</i><sub>ORT</sub> of 2016–2018 and 2019 GF-1/WFV AOD retrievals can reach up to 0.88 and 0.94, respectively, while both of <i>RMSE</i><sub>ORT</sub> are smaller than 0.13. It is indicated that using the ORT method to deal with LSR information can make GF-1/WFV AOD retrieval algorithm more suitable and flexible.https://www.mdpi.com/2072-4292/13/2/280GaoFen-1aerosol optical depthdeep blueoptimal reflectivity techniquevalidation |
| spellingShingle | Fukun Yang Meng Fan Jinhua Tao An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data Remote Sensing GaoFen-1 aerosol optical depth deep blue optimal reflectivity technique validation |
| title | An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data |
| title_full | An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data |
| title_fullStr | An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data |
| title_full_unstemmed | An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data |
| title_short | An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data |
| title_sort | improved method for retrieving aerosol optical depth using gaofen 1 wfv camera data |
| topic | GaoFen-1 aerosol optical depth deep blue optimal reflectivity technique validation |
| url | https://www.mdpi.com/2072-4292/13/2/280 |
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