A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms

This repository contains the original raw data captured with a hyperspectral sensor mounted on a drone, as well as the reprocessed spectral library of red snow algal blooms from several locations on Livingston Island (South Shetland Islands, Antarctica). It also includes custom-developed code for da...

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Detalles Bibliográficos
Autores: Román, Alejandro, Navarro, Gabriel, Barbero, Luis, Fernández-Marín, Beatriz, García-Plazaola, José I., González-Ortegón, Enrique, Caballero, Isabel, Tovar-Sánchez, Antonio
Tipo de recurso: conjunto de datos
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/408998
Acceso en línea:http://hdl.handle.net/10261/408998
Access Level:acceso abierto
Palabra clave:Red snow algae
Antarctica
Drone
Ice melting
Albedo
Hyperspectral
Spectral library
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spelling A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal bloomsRomán, AlejandroNavarro, GabrielBarbero, LuisFernández-Marín, BeatrizGarcía-Plazaola, José I.González-Ortegón, EnriqueCaballero, IsabelTovar-Sánchez, AntonioRed snow algaeAntarcticaDroneIce meltingAlbedoHyperspectralSpectral libraryThis repository contains the original raw data captured with a hyperspectral sensor mounted on a drone, as well as the reprocessed spectral library of red snow algal blooms from several locations on Livingston Island (South Shetland Islands, Antarctica). It also includes custom-developed code for data processing/handling and for scaling the methodology to its application using Sentinel-2 satellite data. These datasets were collected during the second Antarctic campaign of the PiMetAn project in 2022 and were used to obtain the results published in Román et al. 2025 (DOI: available soon). This information has been essential for determining the true spatial extent of these snow algal blooms across the entire South Shetland Islands archipelago, which potentially lowers surface albedo and accelerates coastal snow and ice melt.This research was funded by the Spanish Government projects RTI2018-098048B-100 (PiMetAn) and PID2021-1257830B-100 (DICHOSO). Equipment was funded by Spanish Government Infraestructure projects EQC2018-004446-P, EQC2018-004275-P and EQC2019-005721. This research has been supported by the Grant CNS2023-143630 funded by MICIU/AEI/10.13039/501100011033 and by European Union Next Generation EU/PRTR. A. Román, staff hired under the Generation D initiative, promoted by Red.es, an organisation attached to the Ministry for Digital Transformation and the Civil Service, for the attraction and retention of talent through grants and training contracts, financed by the Recovery, Transformation and Resilience Plan through the European Union's Next Generation funds. BFM is supported by a RYC2021-031321-I grant funded by MCIN/AEI/10.13039/501100011033 and by the European Union Next-GenerationEU/PRTR. This work represents a contribution to Polar CSIC-HUBs.Peer reviewedDIGITAL.CSICEuropean CommissionAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Ministerio para la Transformación Digital y de la Función Pública (España)Ministerio de Hacienda (España)Román, Alejandro [0000-0002-8868-9302]Navarro, Gabriel [0000-0002-8919-0060]González-Ortegón, Enrique [0000-0002-0282-499X]Caballero, Isabel [0000-0001-7485-0989]Tovar-Sánchez, Antonio [0000-0003-4375-1982]Román, Alejandro [a.roman@csic.es]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2025202520222025info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1text/csvhttp://hdl.handle.net/10261/408998reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098048-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125783OB-I00info:eu-repo/grantAgreement/AEI//RYC2021-031321-IRomán, Alejandro; Navarro, Gabriel; Barbero, Luis; Fernández-Marín, Beatriz; García-Plazaola, José I.; González-Ortegón, Enrique; Caballero, Isabel; Tovar-Sánchez, Antonio. Unveiling the large coverage of red snow algae blooms in antarctic coastal snowfields. https://doi.org/10.1038/s43247-025-03156-6. http://hdl.handle.net/10261/414046https://doi.org/10.20350/digitalCSIC/17788Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4089982026-05-22T06:33:51Z
dc.title.none.fl_str_mv A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
title A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
spellingShingle A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
Román, Alejandro
Red snow algae
Antarctica
Drone
Ice melting
Albedo
Hyperspectral
Spectral library
title_short A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
title_full A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
title_fullStr A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
title_full_unstemmed A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
title_sort A drone-based hyperspectral-derived spectral library and associated processing databases for Antarctic red-snow algal blooms
dc.creator.none.fl_str_mv Román, Alejandro
Navarro, Gabriel
Barbero, Luis
Fernández-Marín, Beatriz
García-Plazaola, José I.
González-Ortegón, Enrique
Caballero, Isabel
Tovar-Sánchez, Antonio
author Román, Alejandro
author_facet Román, Alejandro
Navarro, Gabriel
Barbero, Luis
Fernández-Marín, Beatriz
García-Plazaola, José I.
González-Ortegón, Enrique
Caballero, Isabel
Tovar-Sánchez, Antonio
author_role author
author2 Navarro, Gabriel
Barbero, Luis
Fernández-Marín, Beatriz
García-Plazaola, José I.
González-Ortegón, Enrique
Caballero, Isabel
Tovar-Sánchez, Antonio
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Commission
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio para la Transformación Digital y de la Función Pública (España)
Ministerio de Hacienda (España)
Román, Alejandro [0000-0002-8868-9302]
Navarro, Gabriel [0000-0002-8919-0060]
González-Ortegón, Enrique [0000-0002-0282-499X]
Caballero, Isabel [0000-0001-7485-0989]
Tovar-Sánchez, Antonio [0000-0003-4375-1982]
Román, Alejandro [a.roman@csic.es]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Red snow algae
Antarctica
Drone
Ice melting
Albedo
Hyperspectral
Spectral library
topic Red snow algae
Antarctica
Drone
Ice melting
Albedo
Hyperspectral
Spectral library
description This repository contains the original raw data captured with a hyperspectral sensor mounted on a drone, as well as the reprocessed spectral library of red snow algal blooms from several locations on Livingston Island (South Shetland Islands, Antarctica). It also includes custom-developed code for data processing/handling and for scaling the methodology to its application using Sentinel-2 satellite data. These datasets were collected during the second Antarctic campaign of the PiMetAn project in 2022 and were used to obtain the results published in Román et al. 2025 (DOI: available soon). This information has been essential for determining the true spatial extent of these snow algal blooms across the entire South Shetland Islands archipelago, which potentially lowers surface albedo and accelerates coastal snow and ice melt.
publishDate 2022
dc.date.none.fl_str_mv 2022
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/408998
url http://hdl.handle.net/10261/408998
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098048-B-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125783OB-I00
info:eu-repo/grantAgreement/AEI//RYC2021-031321-I
Román, Alejandro; Navarro, Gabriel; Barbero, Luis; Fernández-Marín, Beatriz; García-Plazaola, José I.; González-Ortegón, Enrique; Caballero, Isabel; Tovar-Sánchez, Antonio. Unveiling the large coverage of red snow algae blooms in antarctic coastal snowfields. https://doi.org/10.1038/s43247-025-03156-6. http://hdl.handle.net/10261/414046
https://doi.org/10.20350/digitalCSIC/17788
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/csv
dc.publisher.none.fl_str_mv DIGITAL.CSIC
publisher.none.fl_str_mv DIGITAL.CSIC
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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