Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula

Descripción del Articulo

Numerous drylands worldwide have experienced degradation of both soil and vegetation in proximity to watering areas. Degradation can be observed in satellite imagery as fading radial brightness belts extending away from the water sources. The main objective of this study was to examine the spatio-te...

Descripción completa

Detalles Bibliográficos
Autores: Leiva Piedra, Jorge Luis, Ramírez-Juidias, Emilio, Madueño-Luna, Antonio, Madueño-Luna, José Miguel, López-Gordillo, Miguel Calixto, Leiva-Piedra, Jorge Luis
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7926
Enlace del recurso:https://hdl.handle.net/20.500.12867/7926
https://doi.org/10.3390/rs15163984
Nivel de acceso:acceso abierto
Materia:Remote sensing
Deserts
Geostatistical
Land cover
https://purl.org/pe-repo/ocde/ford#1.05.00
id UTPD_732702d57e6043de559908dad7116028
oai_identifier_str oai:repositorio.utp.edu.pe:20.500.12867/7926
network_acronym_str UTPD
network_name_str UTP-Institucional
repository_id_str 4782
dc.title.es_PE.fl_str_mv Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
title Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
spellingShingle Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
Leiva Piedra, Jorge Luis
Remote sensing
Deserts
Geostatistical
Land cover
https://purl.org/pe-repo/ocde/ford#1.05.00
title_short Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
title_full Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
title_fullStr Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
title_full_unstemmed Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
title_sort Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsula
author Leiva Piedra, Jorge Luis
author_facet Leiva Piedra, Jorge Luis
Ramírez-Juidias, Emilio
Madueño-Luna, Antonio
Madueño-Luna, José Miguel
López-Gordillo, Miguel Calixto
Leiva-Piedra, Jorge Luis
author_role author
author2 Ramírez-Juidias, Emilio
Madueño-Luna, Antonio
Madueño-Luna, José Miguel
López-Gordillo, Miguel Calixto
Leiva-Piedra, Jorge Luis
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Leiva Piedra, Jorge Luis
Ramírez-Juidias, Emilio
Madueño-Luna, Antonio
Madueño-Luna, José Miguel
López-Gordillo, Miguel Calixto
Leiva-Piedra, Jorge Luis
dc.subject.es_PE.fl_str_mv Remote sensing
Deserts
Geostatistical
Land cover
topic Remote sensing
Deserts
Geostatistical
Land cover
https://purl.org/pe-repo/ocde/ford#1.05.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.00
description Numerous drylands worldwide have experienced degradation of both soil and vegetation in proximity to watering areas. Degradation can be observed in satellite imagery as fading radial brightness belts extending away from the water sources. The main objective of this study was to examine the spatio-temporal patterns of land degradation and rehabilitation in the drylands of the southeast Iberian Peninsula. The brightness index of tasseled cap was discovered to be the best form of spectral transformation for enhancing the contrast between the bright-degraded areas near the points and the darker surrounding areas far from and in between these areas. To comprehend the spatial structure present in spaceborne imagery of two desert sites and three key time periods, semi-variograms were created (mid-late 2000s, around 2015 and 2020). To assess spatio-temporal land-cover patterns, a kriging was used to smooth the brightness index values extracted from 30 m spatial resolution images. To assess the direction and intensity of changes between study periods, a change detection analysis based on kriging prediction maps was performed. These findings were linked to the socioeconomic situation prior to and following the EU economic crisis. The study discovered that degradation occurred in some areas as a result of the region’s agricultural activities being exploited.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-11-23T17:47:04Z
dc.date.available.none.fl_str_mv 2023-11-23T17:47:04Z
dc.date.issued.fl_str_mv 2023
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2072-4292
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7926
dc.identifier.journal.es_PE.fl_str_mv Remote Sensing
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/rs15163984
identifier_str_mv 2072-4292
Remote Sensing
url https://hdl.handle.net/20.500.12867/7926
https://doi.org/10.3390/rs15163984
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Remote Sensing;vol. 15, n° 6
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.publisher.country.es_PE.fl_str_mv CH
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
instname:Universidad Tecnológica del Perú
instacron:UTP
instname_str Universidad Tecnológica del Perú
instacron_str UTP
institution UTP
reponame_str UTP-Institucional
collection UTP-Institucional
bitstream.url.fl_str_mv http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/2/license.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/1/J.Leiva_Articulo_2023.pdf
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/3/J.Leiva_Articulo_2023.pdf.txt
http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/4/J.Leiva_Articulo_2023.pdf.jpg
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
70361b941584aacf81f80529dc05af87
3d1485a0c08241693a245201cbbefea9
51a3ebf2b45d6f6ca2a9e509c6b42298
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional de la Universidad Tecnológica del Perú
repository.mail.fl_str_mv repositorio@utp.edu.pe
_version_ 1817984838323404800
spelling Leiva Piedra, Jorge LuisRamírez-Juidias, EmilioMadueño-Luna, AntonioMadueño-Luna, José MiguelLópez-Gordillo, Miguel CalixtoLeiva-Piedra, Jorge Luis2023-11-23T17:47:04Z2023-11-23T17:47:04Z20232072-4292https://hdl.handle.net/20.500.12867/7926Remote Sensinghttps://doi.org/10.3390/rs15163984Numerous drylands worldwide have experienced degradation of both soil and vegetation in proximity to watering areas. Degradation can be observed in satellite imagery as fading radial brightness belts extending away from the water sources. The main objective of this study was to examine the spatio-temporal patterns of land degradation and rehabilitation in the drylands of the southeast Iberian Peninsula. The brightness index of tasseled cap was discovered to be the best form of spectral transformation for enhancing the contrast between the bright-degraded areas near the points and the darker surrounding areas far from and in between these areas. To comprehend the spatial structure present in spaceborne imagery of two desert sites and three key time periods, semi-variograms were created (mid-late 2000s, around 2015 and 2020). To assess spatio-temporal land-cover patterns, a kriging was used to smooth the brightness index values extracted from 30 m spatial resolution images. To assess the direction and intensity of changes between study periods, a change detection analysis based on kriging prediction maps was performed. These findings were linked to the socioeconomic situation prior to and following the EU economic crisis. The study discovered that degradation occurred in some areas as a result of the region’s agricultural activities being exploited.Campus Chiclayoapplication/pdfengMultidisciplinary Digital Publishing InstituteCHRemote Sensing;vol. 15, n° 6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPRemote sensingDesertsGeostatisticalLand coverhttps://purl.org/pe-repo/ocde/ford#1.05.00Applying remote sensing methods to estimate alterations in land cover change and degradation in the desert regions of the Southeast Iberian Peninsulainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALJ.Leiva_Articulo_2023.pdfJ.Leiva_Articulo_2023.pdfapplication/pdf7416219http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/1/J.Leiva_Articulo_2023.pdf70361b941584aacf81f80529dc05af87MD51TEXTJ.Leiva_Articulo_2023.pdf.txtJ.Leiva_Articulo_2023.pdf.txtExtracted texttext/plain68898http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/3/J.Leiva_Articulo_2023.pdf.txt3d1485a0c08241693a245201cbbefea9MD53THUMBNAILJ.Leiva_Articulo_2023.pdf.jpgJ.Leiva_Articulo_2023.pdf.jpgGenerated Thumbnailimage/jpeg24222http://repositorio.utp.edu.pe/bitstream/20.500.12867/7926/4/J.Leiva_Articulo_2023.pdf.jpg51a3ebf2b45d6f6ca2a9e509c6b42298MD5420.500.12867/7926oai:repositorio.utp.edu.pe:20.500.12867/79262023-11-23 14:04:42.495Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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
score 13.904009
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).