Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data

[EN] Snow and ice melt processes on the Greenland Ice Sheet are a key in Earth's energy balance and are acutely sensitive to climate change. Melting dynamics are directly related to a decrease in surface albedo, amongst others caused by the accumulation of light-absorbing particles (LAPs)....

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Autores: Bohn, Niklas, Di Mauro, Biagio, Colombo, Roberto, Thompson, David R., Susiluoto, Jouni, Carmon, Nimrod, Turmon, Michael J., Guanter-Palomar, Luis María|||0000-0002-8389-5764
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/199452
Acceso en línea:https://riunet.upv.es/handle/10251/199452
Access Level:acceso abierto
Palabra clave:Imaging spectroscopy
Greenland Ice Sheet,snow and ice surface properties
Mapping glacier algae
Optimal estimation
PRISMA
FISICA APLICADA
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spelling Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy DataBohn, NiklasDi Mauro, BiagioColombo, RobertoThompson, David R.Susiluoto, JouniCarmon, NimrodTurmon, Michael J.Guanter-Palomar, Luis María|||0000-0002-8389-5764Imaging spectroscopyGreenland Ice Sheet,snow and ice surface propertiesMapping glacier algaeOptimal estimationPRISMAFISICA APLICADA[EN] Snow and ice melt processes on the Greenland Ice Sheet are a key in Earth's energy balance and are acutely sensitive to climate change. Melting dynamics are directly related to a decrease in surface albedo, amongst others caused by the accumulation of light-absorbing particles (LAPs). Featuring unique spectral patterns, these accumulations can be mapped and quantified by imaging spectroscopy. We present first results for the retrieval of glacier ice properties from the spaceborne PRISMA imaging spectrometer by applying a recently developed simultaneous inversion of atmospheric and surface state using optimal estimation. The image analyzed in this study was acquired over the South-West margin of the Greenland Ice Sheet in late August 2020. The area is characterized by patterns of both clean and dark ice associated with a high amount of LAPs deposited on the surface. We present retrieval maps and uncertainties for grain size, liquid water, and algae concentration, as well as estimated reflectance spectra for different surface properties. We then show the feasibility of using imaging spectroscopy to interpret multiband sensor data to achieve high accuracy, frequently repeated observations of changing snow and ice conditions. For example, the impurity index calculated from multiband Sentinel-3 Ocean and Land Colour Instrument measurements is dependent on dust particles, but we show that algae concentration alone can be predicted from this data with less than 20% uncertainty. Our study evidences that present and upcoming orbital imaging spectroscopy missions such as PRISMA, Environmental Mapping and Analysis Program, Copernicus Hyperspectral Imaging Mission, and the Surface Biology and Geology designated observable, can significantly support research of melting ice sheets.This work has been done in the frame of EnMAP, which is funded under the DLR Space Administration with resources from the German Federal Ministry of Economic Affairs and Energy (Grant No. 50 EE 0850) and contributions from DLR, GFZ, and OHB System AG. A portion of this research took place at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). US Government Support acknowledged. Open access funding enabled and organized by Projekt DEAL.WileyDepartamento de Física AplicadaEscuela Técnica Superior de Ingeniería de TelecomunicaciónInstituto Universitario de Ingeniería del Agua y del Medio AmbienteProjekt DEALOHB System AGDeutsche ForschungsgemeinschaftDeutsches Zentrum für Luft- und RaumfahrtNational Aeronautics and Space Administration, EEUUBundesministerium für Wirtschaft und Energie, AlemaniaRepositorio Institucional de la Universitat Politècnica de València Riunet20222022-03-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/199452reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengBundesministerium für Wirtschaft und Energie, Alemania https://doi.org/10.13039/501100006360 50 EE 0850National Aeronautics and Space Administration, EEUU https://doi.org/10.13039/100000104 80NM0018D0004open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1994522026-06-13T07:49:27Z
dc.title.none.fl_str_mv Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
title Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
spellingShingle Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
Bohn, Niklas
Imaging spectroscopy
Greenland Ice Sheet,snow and ice surface properties
Mapping glacier algae
Optimal estimation
PRISMA
FISICA APLICADA
title_short Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
title_full Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
title_fullStr Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
title_full_unstemmed Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
title_sort Glacier Ice Surface Properties in South-West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data
dc.creator.none.fl_str_mv Bohn, Niklas
Di Mauro, Biagio
Colombo, Roberto
Thompson, David R.
Susiluoto, Jouni
Carmon, Nimrod
Turmon, Michael J.
Guanter-Palomar, Luis María|||0000-0002-8389-5764
author Bohn, Niklas
author_facet Bohn, Niklas
Di Mauro, Biagio
Colombo, Roberto
Thompson, David R.
Susiluoto, Jouni
Carmon, Nimrod
Turmon, Michael J.
Guanter-Palomar, Luis María|||0000-0002-8389-5764
author_role author
author2 Di Mauro, Biagio
Colombo, Roberto
Thompson, David R.
Susiluoto, Jouni
Carmon, Nimrod
Turmon, Michael J.
Guanter-Palomar, Luis María|||0000-0002-8389-5764
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Física Aplicada
Escuela Técnica Superior de Ingeniería de Telecomunicación
Instituto Universitario de Ingeniería del Agua y del Medio Ambiente
Projekt DEAL
OHB System AG
Deutsche Forschungsgemeinschaft
Deutsches Zentrum für Luft- und Raumfahrt
National Aeronautics and Space Administration, EEUU
Bundesministerium für Wirtschaft und Energie, Alemania
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Imaging spectroscopy
Greenland Ice Sheet,snow and ice surface properties
Mapping glacier algae
Optimal estimation
PRISMA
FISICA APLICADA
topic Imaging spectroscopy
Greenland Ice Sheet,snow and ice surface properties
Mapping glacier algae
Optimal estimation
PRISMA
FISICA APLICADA
description [EN] Snow and ice melt processes on the Greenland Ice Sheet are a key in Earth's energy balance and are acutely sensitive to climate change. Melting dynamics are directly related to a decrease in surface albedo, amongst others caused by the accumulation of light-absorbing particles (LAPs). Featuring unique spectral patterns, these accumulations can be mapped and quantified by imaging spectroscopy. We present first results for the retrieval of glacier ice properties from the spaceborne PRISMA imaging spectrometer by applying a recently developed simultaneous inversion of atmospheric and surface state using optimal estimation. The image analyzed in this study was acquired over the South-West margin of the Greenland Ice Sheet in late August 2020. The area is characterized by patterns of both clean and dark ice associated with a high amount of LAPs deposited on the surface. We present retrieval maps and uncertainties for grain size, liquid water, and algae concentration, as well as estimated reflectance spectra for different surface properties. We then show the feasibility of using imaging spectroscopy to interpret multiband sensor data to achieve high accuracy, frequently repeated observations of changing snow and ice conditions. For example, the impurity index calculated from multiband Sentinel-3 Ocean and Land Colour Instrument measurements is dependent on dust particles, but we show that algae concentration alone can be predicted from this data with less than 20% uncertainty. Our study evidences that present and upcoming orbital imaging spectroscopy missions such as PRISMA, Environmental Mapping and Analysis Program, Copernicus Hyperspectral Imaging Mission, and the Surface Biology and Geology designated observable, can significantly support research of melting ice sheets.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/199452
url https://riunet.upv.es/handle/10251/199452
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Bundesministerium für Wirtschaft und Energie, Alemania https://doi.org/10.13039/501100006360 50 EE 0850
National Aeronautics and Space Administration, EEUU https://doi.org/10.13039/100000104 80NM0018D0004
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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