The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)

The data value of hyperspectral measurements on ice and snow cover is strongly impacted by the availability of data services, where spectral libraries are integrated to detailed descriptions of the observed surface cover. For snow and ice cover, we present an updated version of the Snow/Ice Spectral...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Rosamaria Salvatori, Roberto Salzano, Mauro Valt, Riccardo Cerrato, Stefano Ghergo
Other Authors: Salvatori, Rosamaria, Salzano, Roberto, Valt, Mauro, Cerrato, Riccardo, Ghergo, Stefano
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/11568/1177345
https://doi.org/10.3390/rs14092213
id ftunivpisairis:oai:arpi.unipi.it:11568/1177345
record_format openpolar
spelling ftunivpisairis:oai:arpi.unipi.it:11568/1177345 2024-04-14T08:03:30+00:00 The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0) Rosamaria Salvatori Roberto Salzano Mauro Valt Riccardo Cerrato Stefano Ghergo Salvatori, Rosamaria Salzano, Roberto Valt, Mauro Cerrato, Riccardo Ghergo, Stefano 2022 ELETTRONICO https://hdl.handle.net/11568/1177345 https://doi.org/10.3390/rs14092213 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000795363600001 volume:14 issue:9 firstpage:2213 journal:REMOTE SENSING https://hdl.handle.net/11568/1177345 doi:10.3390/rs14092213 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85130079649 snow cover ice cover Arctic Antarctic spectral reflectance hyperspectral data info:eu-repo/semantics/article 2022 ftunivpisairis https://doi.org/10.3390/rs14092213 2024-03-21T18:21:27Z The data value of hyperspectral measurements on ice and snow cover is strongly impacted by the availability of data services, where spectral libraries are integrated to detailed descriptions of the observed surface cover. For snow and ice cover, we present an updated version of the Snow/Ice Spectral Archive (SISpec 2.0), which has been integrated into a web portal characterized by different functionalities. The adopted metadata scheme features basic geographic data, information about the acquisition setup, and parameters describing the different surface types. While the implementation of the IACS Classification of Seasonal Snow on the Ground is the core component for snow cover, ice cover is approached using different parameters associated with its surface roughness and location. The web portal is not only a visualization tool, but also supports interoperability functionalities, providing data in the NetCDF file format. The availability of these functionalities sets the foundation for sharing a novel platform with the community and is an interesting tool for calibrating and validating data and models. Article in Journal/Newspaper Antarc* Antarctic Arctic ARPI - Archivio della Ricerca dell'Università di Pisa Antarctic Arctic Remote Sensing 14 9 2213
institution Open Polar
collection ARPI - Archivio della Ricerca dell'Università di Pisa
op_collection_id ftunivpisairis
language English
topic snow cover
ice cover
Arctic
Antarctic
spectral reflectance
hyperspectral data
spellingShingle snow cover
ice cover
Arctic
Antarctic
spectral reflectance
hyperspectral data
Rosamaria Salvatori
Roberto Salzano
Mauro Valt
Riccardo Cerrato
Stefano Ghergo
The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
topic_facet snow cover
ice cover
Arctic
Antarctic
spectral reflectance
hyperspectral data
description The data value of hyperspectral measurements on ice and snow cover is strongly impacted by the availability of data services, where spectral libraries are integrated to detailed descriptions of the observed surface cover. For snow and ice cover, we present an updated version of the Snow/Ice Spectral Archive (SISpec 2.0), which has been integrated into a web portal characterized by different functionalities. The adopted metadata scheme features basic geographic data, information about the acquisition setup, and parameters describing the different surface types. While the implementation of the IACS Classification of Seasonal Snow on the Ground is the core component for snow cover, ice cover is approached using different parameters associated with its surface roughness and location. The web portal is not only a visualization tool, but also supports interoperability functionalities, providing data in the NetCDF file format. The availability of these functionalities sets the foundation for sharing a novel platform with the community and is an interesting tool for calibrating and validating data and models.
author2 Salvatori, Rosamaria
Salzano, Roberto
Valt, Mauro
Cerrato, Riccardo
Ghergo, Stefano
format Article in Journal/Newspaper
author Rosamaria Salvatori
Roberto Salzano
Mauro Valt
Riccardo Cerrato
Stefano Ghergo
author_facet Rosamaria Salvatori
Roberto Salzano
Mauro Valt
Riccardo Cerrato
Stefano Ghergo
author_sort Rosamaria Salvatori
title The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
title_short The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
title_full The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
title_fullStr The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
title_full_unstemmed The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)
title_sort collection of hyperspectral measurements on snow and ice covers in polar regions (sispec 2.0)
publishDate 2022
url https://hdl.handle.net/11568/1177345
https://doi.org/10.3390/rs14092213
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000795363600001
volume:14
issue:9
firstpage:2213
journal:REMOTE SENSING
https://hdl.handle.net/11568/1177345
doi:10.3390/rs14092213
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85130079649
op_doi https://doi.org/10.3390/rs14092213
container_title Remote Sensing
container_volume 14
container_issue 9
container_start_page 2213
_version_ 1796299762896470016