Multi-angle aerosol optical depth retrieval method based on improved surface reflectance
Retrieval of atmospheric aerosol optical depth (AOD) has been a challenge for Earth satellite observations, mainly due to the difficulty of estimating surface reflectance with the combined influence of land–atmosphere coupling. Current major satellite AOD retrieval products have low spatial resoluti...
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ftdoajarticles:oai:doaj.org/article:d2a61eabb75a41cfa94ea94d0fde5830 2024-09-15T17:35:12+00:00 Multi-angle aerosol optical depth retrieval method based on improved surface reflectance L. Chen R. Wang Y. Fei P. Fang Y. Zha H. Chen 2024-07-01T00:00:00Z https://doi.org/10.5194/amt-17-4411-2024 https://doaj.org/article/d2a61eabb75a41cfa94ea94d0fde5830 EN eng Copernicus Publications https://amt.copernicus.org/articles/17/4411/2024/amt-17-4411-2024.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-17-4411-2024 1867-1381 1867-8548 https://doaj.org/article/d2a61eabb75a41cfa94ea94d0fde5830 Atmospheric Measurement Techniques, Vol 17, Pp 4411-4424 (2024) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2024 ftdoajarticles https://doi.org/10.5194/amt-17-4411-2024 2024-08-05T17:48:52Z Retrieval of atmospheric aerosol optical depth (AOD) has been a challenge for Earth satellite observations, mainly due to the difficulty of estimating surface reflectance with the combined influence of land–atmosphere coupling. Current major satellite AOD retrieval products have low spatial resolution under complex surface processes. In this study, we further improved the surface reflectance by modeling the error correction based on the previous AOD retrieval and obtained more accurate AOD retrieval results. A lookup table was constructed using the Second Simulation of Satellite Signal in the Solar Spectrum (6S) to enable high-precision AOD retrieval. The accuracy of the algorithm's retrieval was verified by observations of the Aerosol Robotic Network (AERONET). From the validation results, we find that among the nine Multi-angle Imaging SpectroRadiometer (MISR) angles, the retrieved AOD has the best retrieved results with the AOD observed at the An angle (Taihu: R = 0.81, relative mean bias (RMB) = 0.68; Xuzhou-CUMT: R = 0.73, RMB = 0.78). This study will help to further improve the retrieval accuracy of multi-angle AOD at large spatial scales and long time series. The retrieved AOD based on the improved method has the advantages of fewer missing pixels and finer spatial resolution compared to the MODIS AOD products and our previous estimates. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 17 14 4411 4424 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 L. Chen R. Wang Y. Fei P. Fang Y. Zha H. Chen Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
Retrieval of atmospheric aerosol optical depth (AOD) has been a challenge for Earth satellite observations, mainly due to the difficulty of estimating surface reflectance with the combined influence of land–atmosphere coupling. Current major satellite AOD retrieval products have low spatial resolution under complex surface processes. In this study, we further improved the surface reflectance by modeling the error correction based on the previous AOD retrieval and obtained more accurate AOD retrieval results. A lookup table was constructed using the Second Simulation of Satellite Signal in the Solar Spectrum (6S) to enable high-precision AOD retrieval. The accuracy of the algorithm's retrieval was verified by observations of the Aerosol Robotic Network (AERONET). From the validation results, we find that among the nine Multi-angle Imaging SpectroRadiometer (MISR) angles, the retrieved AOD has the best retrieved results with the AOD observed at the An angle (Taihu: R = 0.81, relative mean bias (RMB) = 0.68; Xuzhou-CUMT: R = 0.73, RMB = 0.78). This study will help to further improve the retrieval accuracy of multi-angle AOD at large spatial scales and long time series. The retrieved AOD based on the improved method has the advantages of fewer missing pixels and finer spatial resolution compared to the MODIS AOD products and our previous estimates. |
format |
Article in Journal/Newspaper |
author |
L. Chen R. Wang Y. Fei P. Fang Y. Zha H. Chen |
author_facet |
L. Chen R. Wang Y. Fei P. Fang Y. Zha H. Chen |
author_sort |
L. Chen |
title |
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
title_short |
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
title_full |
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
title_fullStr |
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
title_full_unstemmed |
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
title_sort |
multi-angle aerosol optical depth retrieval method based on improved surface reflectance |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/amt-17-4411-2024 https://doaj.org/article/d2a61eabb75a41cfa94ea94d0fde5830 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 17, Pp 4411-4424 (2024) |
op_relation |
https://amt.copernicus.org/articles/17/4411/2024/amt-17-4411-2024.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-17-4411-2024 1867-1381 1867-8548 https://doaj.org/article/d2a61eabb75a41cfa94ea94d0fde5830 |
op_doi |
https://doi.org/10.5194/amt-17-4411-2024 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
17 |
container_issue |
14 |
container_start_page |
4411 |
op_container_end_page |
4424 |
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1810444643933880320 |