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...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Bo Zhong, Shanlong Wu, Aixia Yang, Kai Ao, Jinhua Wu, Junjun Wu, Xueshuang Gong, Haibo Wang, Qinhuo Liu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
aod
Q
Online Access:https://doi.org/10.3390/rs12040733
https://doaj.org/article/b07aaa7811f847ffb15f84195e900c1e
id ftdoajarticles:oai:doaj.org/article:b07aaa7811f847ffb15f84195e900c1e
record_format openpolar
spelling 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
collection 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