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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Published in:Remote Sensing
Main Authors: Emberton, S., Chittka, L., Cavallaro, A., Wang, M.
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2016
Subjects:
Online Access: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
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spelling 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
institution Open Polar
collection 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
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