Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing
Accurate correction of the corrupting effects of the atmosphere and the water’s surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from satellite-based multi- and hyper-spectral sensors. The major challenges now for atmospheric correction are...
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ftmdpi:oai:mdpi.com:/2072-4292/8/1/1/ 2023-08-20T03:59:10+02:00 Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing Simon Emberton Lars Chittka Andrea Cavallaro Menghua Wang agris 2015-12-22 application/pdf https://doi.org/10.3390/rs8010001 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs8010001 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 8; Issue 1; Pages: 1 atmospheric correction hyperspectral multispectral ocean colour remote sensing Text 2015 ftmdpi https://doi.org/10.3390/rs8010001 2023-07-31T20:49:02Z Accurate correction of the corrupting effects of the atmosphere and the water’s surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from satellite-based multi- and hyper-spectral sensors. The major challenges now for atmospheric correction are the conditions of turbid coastal and inland waters and areas in which there are strongly-absorbing aerosols. Here, we outline how these issues can be addressed, with a focus on the potential of new sensor technologies and the opportunities for the development of novel algorithms and aerosol models. We review hardware developments, which will provide qualitative and quantitative increases in spectral, spatial, radiometric and temporal data of the Earth, as well as measurements from other sources, such as the Aerosol Robotic Network for Ocean Color (AERONET-OC) stations, bio-optical sensors on Argo (Bio–Argo) floats and polarimeters. We provide an overview of the state of the art in atmospheric correction algorithms, highlight recent advances and discuss the possible potential for hyperspectral data to address the current challenges. Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 8 1 1 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
atmospheric correction hyperspectral multispectral ocean colour remote sensing |
spellingShingle |
atmospheric correction hyperspectral multispectral ocean colour remote sensing Simon Emberton Lars Chittka Andrea Cavallaro Menghua Wang Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
topic_facet |
atmospheric correction hyperspectral multispectral ocean colour remote sensing |
description |
Accurate correction of the corrupting effects of the atmosphere and the water’s surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from satellite-based multi- and hyper-spectral sensors. The major challenges now for atmospheric correction are the conditions of turbid coastal and inland waters and areas in which there are strongly-absorbing aerosols. Here, we outline how these issues can be addressed, with a focus on the potential of new sensor technologies and the opportunities for the development of novel algorithms and aerosol models. We review hardware developments, which will provide qualitative and quantitative increases in spectral, spatial, radiometric and temporal data of the Earth, as well as measurements from other sources, such as the Aerosol Robotic Network for Ocean Color (AERONET-OC) stations, bio-optical sensors on Argo (Bio–Argo) floats and polarimeters. We provide an overview of the state of the art in atmospheric correction algorithms, highlight recent advances and discuss the possible potential for hyperspectral data to address the current challenges. |
format |
Text |
author |
Simon Emberton Lars Chittka Andrea Cavallaro Menghua Wang |
author_facet |
Simon Emberton Lars Chittka Andrea Cavallaro Menghua Wang |
author_sort |
Simon Emberton |
title |
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
title_short |
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
title_full |
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
title_fullStr |
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
title_full_unstemmed |
Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing |
title_sort |
sensor capability and atmospheric correction in ocean colour remote sensing |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2015 |
url |
https://doi.org/10.3390/rs8010001 |
op_coverage |
agris |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; Volume 8; Issue 1; Pages: 1 |
op_relation |
https://dx.doi.org/10.3390/rs8010001 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs8010001 |
container_title |
Remote Sensing |
container_volume |
8 |
container_issue |
1 |
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1 |
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1774717673727328256 |