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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ftuniwestengland:oai:eprints.uwe.ac.uk:33623 2023-05-15T13:06:04+02:00 Sensor capability and atmospheric correction in ocean colour remote sensing Emberton, S. Chittka, L. Cavallaro, A. Wang, M. 2016-01-11 application/pdf http://eprints.uwe.ac.uk/33623/ http://eprints.uwe.ac.uk/33623/1/Sensor%20Capability%20and%20Atmospheric%20Correction%20in%20Ocean%20Colour%20Remote%20Sensing.pdf https://doi.org/10.3390/rs8010001 en eng MDPI http://eprints.uwe.ac.uk/33623/1/Sensor%20Capability%20and%20Atmospheric%20Correction%20in%20Ocean%20Colour%20Remote%20Sensing.pdf Emberton, S. , Chittka, L. , Cavallaro, A. and Wang, M. (2016) Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8 (1). ISSN 2072-4292 Available from: http://eprints.uwe.ac.uk/33623 cc_by_40 CC-BY Article NonPeerReviewed 2016 ftuniwestengland https://doi.org/10.3390/rs8010001 2020-08-21T16:11:18Z 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. Article in Journal/Newspaper Aerosol Robotic Network University of the West of England, Bristol: UWE Research Repository Remote Sensing 8 1 1 |
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Open Polar |
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University of the West of England, Bristol: UWE Research Repository |
op_collection_id |
ftuniwestengland |
language |
English |
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 |
Article in Journal/Newspaper |
author |
Emberton, S. Chittka, L. Cavallaro, A. Wang, M. |
spellingShingle |
Emberton, S. Chittka, L. Cavallaro, A. Wang, M. Sensor capability and atmospheric correction in ocean colour remote sensing |
author_facet |
Emberton, S. Chittka, L. Cavallaro, A. Wang, M. |
author_sort |
Emberton, S. |
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 |
MDPI |
publishDate |
2016 |
url |
http://eprints.uwe.ac.uk/33623/ http://eprints.uwe.ac.uk/33623/1/Sensor%20Capability%20and%20Atmospheric%20Correction%20in%20Ocean%20Colour%20Remote%20Sensing.pdf https://doi.org/10.3390/rs8010001 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
http://eprints.uwe.ac.uk/33623/1/Sensor%20Capability%20and%20Atmospheric%20Correction%20in%20Ocean%20Colour%20Remote%20Sensing.pdf Emberton, S. , Chittka, L. , Cavallaro, A. and Wang, M. (2016) Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8 (1). ISSN 2072-4292 Available from: http://eprints.uwe.ac.uk/33623 |
op_rights |
cc_by_40 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/rs8010001 |
container_title |
Remote Sensing |
container_volume |
8 |
container_issue |
1 |
container_start_page |
1 |
_version_ |
1766402170435928064 |