Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)

In this paper, we made use of PRISMA imaging spectroscopy data for retrieving surface snow properties in the Nansen Ice Shelf (East Antarctica). PRISMA satellite mission has been launched in 2019 and it features 239 spectral bands covering the 400-2500 nm interval. These data are promising for cryos...

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Published in:Frontiers in Environmental Science
Main Authors: Alexander Kokhanovsky, Biagio Di Mauro, Roberto Colombo
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
Online Access:https://doi.org/10.3389/fenvs.2022.904585
https://doaj.org/article/cfaff527319a46778e3068b2947bc455
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spelling ftdoajarticles:oai:doaj.org/article:cfaff527319a46778e3068b2947bc455 2023-05-15T13:57:17+02:00 Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica) Alexander Kokhanovsky Biagio Di Mauro Roberto Colombo 2022-09-01T00:00:00Z https://doi.org/10.3389/fenvs.2022.904585 https://doaj.org/article/cfaff527319a46778e3068b2947bc455 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenvs.2022.904585/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2022.904585 https://doaj.org/article/cfaff527319a46778e3068b2947bc455 Frontiers in Environmental Science, Vol 10 (2022) remote sensing albedo pollution snow grain size Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.3389/fenvs.2022.904585 2022-12-30T20:39:03Z In this paper, we made use of PRISMA imaging spectroscopy data for retrieving surface snow properties in the Nansen Ice Shelf (East Antarctica). PRISMA satellite mission has been launched in 2019 and it features 239 spectral bands covering the 400-2500 nm interval. These data are promising for cryospheric applications, since several snow and ice parameters can be derived from reflectance in the Visible Near InfraRed - Short Wave InfraRed (VNIR-SWIR) wavelength interval. Here we analyze, for the first time, PRISMA data collected in Antarctica. Our scene was acquired on December 2020 over the Nansen Ice Shelf (NIS). Using PRISMA data we estimated various snow parameters (effective grain diameter, snow specific surface area, snow spectral and broadband albedo, bottom of atmosphere snow reflectance, type of impurities in snow and their concentration), and we compared them with data presented in the scientific literature. Article in Journal/Newspaper Antarc* Antarctica East Antarctica Ice Shelf Directory of Open Access Journals: DOAJ Articles East Antarctica Prisma ENVELOPE(-58.767,-58.767,-69.200,-69.200) Frontiers in Environmental Science 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic remote sensing
albedo
pollution
snow
grain size
Environmental sciences
GE1-350
spellingShingle remote sensing
albedo
pollution
snow
grain size
Environmental sciences
GE1-350
Alexander Kokhanovsky
Biagio Di Mauro
Roberto Colombo
Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
topic_facet remote sensing
albedo
pollution
snow
grain size
Environmental sciences
GE1-350
description In this paper, we made use of PRISMA imaging spectroscopy data for retrieving surface snow properties in the Nansen Ice Shelf (East Antarctica). PRISMA satellite mission has been launched in 2019 and it features 239 spectral bands covering the 400-2500 nm interval. These data are promising for cryospheric applications, since several snow and ice parameters can be derived from reflectance in the Visible Near InfraRed - Short Wave InfraRed (VNIR-SWIR) wavelength interval. Here we analyze, for the first time, PRISMA data collected in Antarctica. Our scene was acquired on December 2020 over the Nansen Ice Shelf (NIS). Using PRISMA data we estimated various snow parameters (effective grain diameter, snow specific surface area, snow spectral and broadband albedo, bottom of atmosphere snow reflectance, type of impurities in snow and their concentration), and we compared them with data presented in the scientific literature.
format Article in Journal/Newspaper
author Alexander Kokhanovsky
Biagio Di Mauro
Roberto Colombo
author_facet Alexander Kokhanovsky
Biagio Di Mauro
Roberto Colombo
author_sort Alexander Kokhanovsky
title Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
title_short Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
title_full Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
title_fullStr Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
title_full_unstemmed Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica)
title_sort snow surface properties derived from prisma satellite data over the nansen ice shelf (east antarctica)
publisher Frontiers Media S.A.
publishDate 2022
url https://doi.org/10.3389/fenvs.2022.904585
https://doaj.org/article/cfaff527319a46778e3068b2947bc455
long_lat ENVELOPE(-58.767,-58.767,-69.200,-69.200)
geographic East Antarctica
Prisma
geographic_facet East Antarctica
Prisma
genre Antarc*
Antarctica
East Antarctica
Ice Shelf
genre_facet Antarc*
Antarctica
East Antarctica
Ice Shelf
op_source Frontiers in Environmental Science, Vol 10 (2022)
op_relation https://www.frontiersin.org/articles/10.3389/fenvs.2022.904585/full
https://doaj.org/toc/2296-665X
2296-665X
doi:10.3389/fenvs.2022.904585
https://doaj.org/article/cfaff527319a46778e3068b2947bc455
op_doi https://doi.org/10.3389/fenvs.2022.904585
container_title Frontiers in Environmental Science
container_volume 10
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