Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.

Descripción del Articulo

Located in the south of the Iberian Peninsula, the Doñana salt marshes occupy around half of Doñana National Park and are currently considered among the most important wetlands worldwide due to the importance of their ecosystem. In this research work, using a novel patented procedure, the effects of...

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Detalles Bibliográficos
Autores: Leiva-Piedra, Jorge Luis, Ramírez-Juidias, Emilio, Amaro-Mellado, José-Lázaro
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/14132
Enlace del recurso:https://hdl.handle.net/20.500.12867/14132
https://doi.org/10.3390/app14166919
Nivel de acceso:acceso abierto
Materia:Iterative processes
Flooded area
Remote sensing
Climate change
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.es_PE.fl_str_mv Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
title Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
spellingShingle Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
Leiva-Piedra, Jorge Luis
Iterative processes
Flooded area
Remote sensing
Climate change
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
title_full Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
title_fullStr Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
title_full_unstemmed Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
title_sort Use of geomatic techniques to determine the influence of climate change on the evolution of the Doñana salt marshes’ flooded area between 2009 and 2020.
author Leiva-Piedra, Jorge Luis
author_facet Leiva-Piedra, Jorge Luis
Ramírez-Juidias, Emilio
Amaro-Mellado, José-Lázaro
author_role author
author2 Ramírez-Juidias, Emilio
Amaro-Mellado, José-Lázaro
author2_role author
author
dc.contributor.author.fl_str_mv Leiva-Piedra, Jorge Luis
Ramírez-Juidias, Emilio
Amaro-Mellado, José-Lázaro
dc.subject.es_PE.fl_str_mv Iterative processes
Flooded area
Remote sensing
Climate change
topic Iterative processes
Flooded area
Remote sensing
Climate change
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description Located in the south of the Iberian Peninsula, the Doñana salt marshes occupy around half of Doñana National Park and are currently considered among the most important wetlands worldwide due to the importance of their ecosystem. In this research work, using a novel patented procedure, the effects of climate change on the study area between 2009 and 2020 were evaluated. For this reason, DEMs were downloaded from the 30-meter Shuttle Radar Topography Mission (SRTM). Furthermore, to check the depth of the flooded area, 792 satellite images (L5 TM, L7 ETM+, and L8 OLI) with a resolution of 30 m were analyzed. The results show how the combined use of geomatic techniques, such as radar, optical, and geographic information system (GIS) data, along with regression models and iterative processes, plays a key role in the prediction and analysis of the flooded area volume in the Doñana salt marshes. Another significant contribution of this work is the development of a new remote sensing index. In conclusion, given that the study area depends on its aquifers’ status, it would be advisable to implement policies aimed at eradicating illegal aquifer extraction, as well as recovery plans to avoid the complete clogging of this salt marsh.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2025-10-29T17:21:02Z
dc.date.available.none.fl_str_mv 2025-10-29T17:21:02Z
dc.date.issued.fl_str_mv 2024
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dc.identifier.journal.es_PE.fl_str_mv Applied Sciences
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/app14166919
identifier_str_mv 2076-3417
Applied Sciences
url https://hdl.handle.net/20.500.12867/14132
https://doi.org/10.3390/app14166919
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling Leiva-Piedra, Jorge LuisRamírez-Juidias, EmilioAmaro-Mellado, José-Lázaro2025-10-29T17:21:02Z2025-10-29T17:21:02Z20242076-3417https://hdl.handle.net/20.500.12867/14132Applied Scienceshttps://doi.org/10.3390/app14166919Located in the south of the Iberian Peninsula, the Doñana salt marshes occupy around half of Doñana National Park and are currently considered among the most important wetlands worldwide due to the importance of their ecosystem. In this research work, using a novel patented procedure, the effects of climate change on the study area between 2009 and 2020 were evaluated. For this reason, DEMs were downloaded from the 30-meter Shuttle Radar Topography Mission (SRTM). Furthermore, to check the depth of the flooded area, 792 satellite images (L5 TM, L7 ETM+, and L8 OLI) with a resolution of 30 m were analyzed. The results show how the combined use of geomatic techniques, such as radar, optical, and geographic information system (GIS) data, along with regression models and iterative processes, plays a key role in the prediction and analysis of the flooded area volume in the Doñana salt marshes. Another significant contribution of this work is the development of a new remote sensing index. 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