An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery
Although many attempts have been made, it has remained a challenge to retrieve the aerosol optical depth (AOD) at 550 nm from moderate to high spatial-resolution (MHSR) optical remotely sensed imagery in arid areas with bright surfaces, such as deserts and bare ground. Atmospheric correction for rem...
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ftdoajarticles:oai:doaj.org/article:b07aaa7811f847ffb15f84195e900c1e 2023-05-15T13:06:39+02:00 An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery Bo Zhong Shanlong Wu Aixia Yang Kai Ao Jinhua Wu Junjun Wu Xueshuang Gong Haibo Wang Qinhuo Liu 2020-02-01T00:00:00Z https://doi.org/10.3390/rs12040733 https://doaj.org/article/b07aaa7811f847ffb15f84195e900c1e EN eng MDPI AG https://www.mdpi.com/2072-4292/12/4/733 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040733 https://doaj.org/article/b07aaa7811f847ffb15f84195e900c1e Remote Sensing, Vol 12, Iss 4, p 733 (2020) aod moderate to high spatial resolution atmospheric correction aeronet automatic validation Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12040733 2022-12-31T16:10:06Z Although many attempts have been made, it has remained a challenge to retrieve the aerosol optical depth (AOD) at 550 nm from moderate to high spatial-resolution (MHSR) optical remotely sensed imagery in arid areas with bright surfaces, such as deserts and bare ground. Atmospheric correction for remote-sensing images in these areas has not been good. In this paper, we proposed a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from moderate to high spatial-resolution imagery in arid areas with bright surfaces. Land surface in arid areas is usually bright and stable and the variation of atmosphere in these areas is also very small; consequently, the land-surface characteristics, specifically the bidirectional reflectance distribution factor (BRDF), can be retrieved easily and accurately using time series of satellite images with relatively lower spatial resolution like the Moderate-resolution Imaging Spectroradiometer (MODIS) with 500 m resolution and the retrieved BRDF is then used to retrieve the AOD from MHSR images. This algorithm has three advantages: (i) it is well suited to arid areas with bright surfaces; (ii) it is very efficient because of employed lower resolution BRDF; and (iii) it is completely automatic. The derived AODs from the Multispectral Instrument (MSI) on board Sentinel-2, Landsat 5 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), Gao Fen 1 Wide Field Viewer (GF-1/WFV), Gao Fen 6 Wide Field Viewer (GF-6/WFV), and Huan Jing 1 CCD (HJ-1/CCD) data are validated using ground measurements from 4 stations of the AErosol Robotic NETwork (AERONET) around the world. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 12 4 733 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
aod moderate to high spatial resolution atmospheric correction aeronet automatic validation Science Q |
spellingShingle |
aod moderate to high spatial resolution atmospheric correction aeronet automatic validation Science Q Bo Zhong Shanlong Wu Aixia Yang Kai Ao Jinhua Wu Junjun Wu Xueshuang Gong Haibo Wang Qinhuo Liu An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
topic_facet |
aod moderate to high spatial resolution atmospheric correction aeronet automatic validation Science Q |
description |
Although many attempts have been made, it has remained a challenge to retrieve the aerosol optical depth (AOD) at 550 nm from moderate to high spatial-resolution (MHSR) optical remotely sensed imagery in arid areas with bright surfaces, such as deserts and bare ground. Atmospheric correction for remote-sensing images in these areas has not been good. In this paper, we proposed a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from moderate to high spatial-resolution imagery in arid areas with bright surfaces. Land surface in arid areas is usually bright and stable and the variation of atmosphere in these areas is also very small; consequently, the land-surface characteristics, specifically the bidirectional reflectance distribution factor (BRDF), can be retrieved easily and accurately using time series of satellite images with relatively lower spatial resolution like the Moderate-resolution Imaging Spectroradiometer (MODIS) with 500 m resolution and the retrieved BRDF is then used to retrieve the AOD from MHSR images. This algorithm has three advantages: (i) it is well suited to arid areas with bright surfaces; (ii) it is very efficient because of employed lower resolution BRDF; and (iii) it is completely automatic. The derived AODs from the Multispectral Instrument (MSI) on board Sentinel-2, Landsat 5 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), Gao Fen 1 Wide Field Viewer (GF-1/WFV), Gao Fen 6 Wide Field Viewer (GF-6/WFV), and Huan Jing 1 CCD (HJ-1/CCD) data are validated using ground measurements from 4 stations of the AErosol Robotic NETwork (AERONET) around the world. |
format |
Article in Journal/Newspaper |
author |
Bo Zhong Shanlong Wu Aixia Yang Kai Ao Jinhua Wu Junjun Wu Xueshuang Gong Haibo Wang Qinhuo Liu |
author_facet |
Bo Zhong Shanlong Wu Aixia Yang Kai Ao Jinhua Wu Junjun Wu Xueshuang Gong Haibo Wang Qinhuo Liu |
author_sort |
Bo Zhong |
title |
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
title_short |
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
title_full |
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
title_fullStr |
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
title_full_unstemmed |
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery |
title_sort |
atmospheric correction method over bright and stable surfaces for moderate to high spatial-resolution optical remotely sensed imagery |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12040733 https://doaj.org/article/b07aaa7811f847ffb15f84195e900c1e |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing, Vol 12, Iss 4, p 733 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/4/733 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12040733 https://doaj.org/article/b07aaa7811f847ffb15f84195e900c1e |
op_doi |
https://doi.org/10.3390/rs12040733 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
4 |
container_start_page |
733 |
_version_ |
1766014634201972736 |