Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.

18 Pags.- 3 Tabls.- 10 Figs.

Detalles Bibliográficos
Autores: Domínguez-Beisiegel, Manuela, Castañeda del Álamo, Carmen, Mougenot, Bernard, Herrero Isern, Juan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/135674
Acceso en línea:http://hdl.handle.net/10261/135674
Access Level:acceso abierto
Palabra clave:arid wetlands
Field spectrometry
green fraction cover
NDVI
halophytes
playa-lakes
Ramsar wetlands
soil salinity
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spelling Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.Domínguez-Beisiegel, ManuelaCastañeda del Álamo, CarmenMougenot, BernardHerrero Isern, Juanarid wetlandsField spectrometrygreen fraction coverNDVIhalophytesplaya-lakesRamsar wetlandssoil salinity18 Pags.- 3 Tabls.- 10 Figs.Inland saline wetlands are complex systems undergoing continuous changes in moisture and salinity and are especially vulnerable to human pressures. Remote sensing is helpful to identify vegetation change in semi-arid wetlands and to assess wetland degradation. Remote sensing-based monitoring requires identification of the spectral characteristics of soils and vegetation and their correspondence with the vegetation cover and soil conditions. We studied the spectral characteristics of soils and vegetation of saline wetlands in Monegros, NE Spain, through field and satellite images. Radiometric and complementary field measurements in two field surveys in 2007 and 2008 were collected in selected sites deemed as representative of different soil moisture, soil color, type of vegetation, and density. Despite the high local variability, we identified good relationships between field spectral data and Quickbird images. A methodology was established for mapping the fraction of vegetation cover in Monegros and other semi-arid areas. Estimating vegetation cover in arid wetlands is conditioned by the soil background and by the occurrence of dry and senescent vegetation accompanying the green component of perennial salt-tolerant plants. Normalized Difference Vegetation Index (NDVI) was appropriate to map the distribution of the vegetation cover if the green and yellow-green parts of the plants are considered.This study was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) under the projects AGL2012-41000 and BASIL (PCIN-2014-106). Manuela Domínguez-Beisiegel was given a grant by the Spanish Government (INIA).Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas (España)CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201620162016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/135674reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.3390/rs8070590Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1356742026-05-22T06:33:51Z
dc.title.none.fl_str_mv Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
title Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
spellingShingle Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
Domínguez-Beisiegel, Manuela
arid wetlands
Field spectrometry
green fraction cover
NDVI
halophytes
playa-lakes
Ramsar wetlands
soil salinity
title_short Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
title_full Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
title_fullStr Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
title_full_unstemmed Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
title_sort Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data.
dc.creator.none.fl_str_mv Domínguez-Beisiegel, Manuela
Castañeda del Álamo, Carmen
Mougenot, Bernard
Herrero Isern, Juan
author Domínguez-Beisiegel, Manuela
author_facet Domínguez-Beisiegel, Manuela
Castañeda del Álamo, Carmen
Mougenot, Bernard
Herrero Isern, Juan
author_role author
author2 Castañeda del Álamo, Carmen
Mougenot, Bernard
Herrero Isern, Juan
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Consejo Superior de Investigaciones Científicas (España)
CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv arid wetlands
Field spectrometry
green fraction cover
NDVI
halophytes
playa-lakes
Ramsar wetlands
soil salinity
topic arid wetlands
Field spectrometry
green fraction cover
NDVI
halophytes
playa-lakes
Ramsar wetlands
soil salinity
description 18 Pags.- 3 Tabls.- 10 Figs.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/135674
url http://hdl.handle.net/10261/135674
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.3390/rs8070590
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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
_version_ 1869422940580216832
score 15,81155

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