Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities

33 Pág.

Detalles Bibliográficos
Autores: Gómez, Cristina, Alejandro, Pablo, Hermosilla, Txomin, Montes, Fernando, Pascual, Cristina, Ruiz, Luis Ángel, Álvarez-Taboada, Flor, Tanase, Mihai A., Valbuena, Rubén
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/368650
Acceso en línea:http://hdl.handle.net/10261/368650
https://api.elsevier.com/content/abstract/scopus_id/85070569809
Access Level:acceso abierto
Palabra clave:Forest fire
Forest health
Forest structure
LiDAR
Optical
Radar
UAV
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spelling Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunitiesGómez, CristinaAlejandro, PabloHermosilla, TxominMontes, FernandoPascual, CristinaRuiz, Luis ÁngelÁlvarez-Taboada, FlorTanase, Mihai A.Valbuena, RubénForest fireForest healthForest structureLiDAROpticalRadarUAV33 Pág.Forest ecosystems provide a host of services and societal benefits, including carbon storage, habitat for fauna, recreation, and provision of wood or non-wood products. In a context of complex demands on forest resources, identifying priorities for biodiversity and carbon budgets require accurate tools with sufficient temporal frequency. Moreover, understanding long term forest dynamics is necessary for sustainable planning and management. Remote sensing (RS) is a powerful means for analysis, synthesis, and report, providing insights and contributing to inform decisions upon forest ecosystems. In this communication we review current applications of RS techniques in Spanish forests, examining possible trends, needs, and opportunities offered by RS in a forestry context. Currently, wall-to-wall optical and LiDAR data are extensively used for a wide range of applications—many times in combination—whilst radar or hyperspectral data are rarely used in the analysis of Spanish forests. Unmanned Aerial Vehicles (UAVs) carrying visible and infrared sensors are gaining ground in acquisition of data locally and at small scale, particularly for health assessments. Forest fire identification and characterization are prevalent applications at the landscape scale, whereas structural assessments are the most widespread analyses carried out at limited extents. Unparalleled opportunities are offered by the availability of diverse RS data like those provided by the European Copernicus programme and recent satellite LiDAR launches, processing capacity, and synergies with other ancillary sources to produce information of our forests. Overall, we live in times of unprecedented opportunities for monitoring forest ecosystems with a growing support from RS technologies.Part of this work was funded by the Spanish Ministry of Science, Innovation and University through the project AGL2016-76769-C2-1-R “Influence of natural disturbance regimes and management on forests dynamics, structure and carbon balance (FORESTCHANGE)”.Peer reviewedCSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)Ministerio de Ciencia, Innovación y Universidades (España)Gómez, Cristina [0000-0002-2756-0863]Alejandro, Pablo [0000-0002-6511-9921]Hermosilla, Txomin [0000-0002-5445-0360]Montes, Fernando [0000-0001-5859-8533]Pascual, Cristina [0000-0001-5477-9556]Ruiz, Luis Ángel [0000-0003-0073-7259]Álvarez-Taboada, Flor [0000-0002-1530-3309]Tanase, Mihai A. [0000-0002-0045-2299]Valbuena, Rubén [0000-0003-0493-7581]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPublisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/368650https://api.elsevier.com/content/abstract/scopus_id/85070569809reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MICIU//AGL2016-76769-C2-1-RInstituto de Ciencias Forestales (ICIFOR)https://doi.org/10.5424/fs/2019281-14221Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3686502026-05-22T06:33:51Z
dc.title.none.fl_str_mv Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
title Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
spellingShingle Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
Gómez, Cristina
Forest fire
Forest health
Forest structure
LiDAR
Optical
Radar
UAV
title_short Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
title_full Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
title_fullStr Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
title_full_unstemmed Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
title_sort Remote sensing for the Spanish forests in the 21<sup>st</sup>century: A review of advances, needs, and opportunities
dc.creator.none.fl_str_mv Gómez, Cristina
Alejandro, Pablo
Hermosilla, Txomin
Montes, Fernando
Pascual, Cristina
Ruiz, Luis Ángel
Álvarez-Taboada, Flor
Tanase, Mihai A.
Valbuena, Rubén
author Gómez, Cristina
author_facet Gómez, Cristina
Alejandro, Pablo
Hermosilla, Txomin
Montes, Fernando
Pascual, Cristina
Ruiz, Luis Ángel
Álvarez-Taboada, Flor
Tanase, Mihai A.
Valbuena, Rubén
author_role author
author2 Alejandro, Pablo
Hermosilla, Txomin
Montes, Fernando
Pascual, Cristina
Ruiz, Luis Ángel
Álvarez-Taboada, Flor
Tanase, Mihai A.
Valbuena, Rubén
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Gómez, Cristina [0000-0002-2756-0863]
Alejandro, Pablo [0000-0002-6511-9921]
Hermosilla, Txomin [0000-0002-5445-0360]
Montes, Fernando [0000-0001-5859-8533]
Pascual, Cristina [0000-0001-5477-9556]
Ruiz, Luis Ángel [0000-0003-0073-7259]
Álvarez-Taboada, Flor [0000-0002-1530-3309]
Tanase, Mihai A. [0000-0002-0045-2299]
Valbuena, Rubén [0000-0003-0493-7581]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Forest fire
Forest health
Forest structure
LiDAR
Optical
Radar
UAV
topic Forest fire
Forest health
Forest structure
LiDAR
Optical
Radar
UAV
description 33 Pág.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_dcae04bc
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/368650
https://api.elsevier.com/content/abstract/scopus_id/85070569809
url http://hdl.handle.net/10261/368650
https://api.elsevier.com/content/abstract/scopus_id/85070569809
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MICIU//AGL2016-76769-C2-1-R
Instituto de Ciencias Forestales (ICIFOR)
https://doi.org/10.5424/fs/2019281-14221
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
publisher.none.fl_str_mv CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
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
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