Harmonization of land-cover data to assess agricultural land transformation patterns in the peri-urban Spanish Mediterranean Huertas

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/121476
Información del item - Informació de l'item - Item information
Título: Harmonization of land-cover data to assess agricultural land transformation patterns in the peri-urban Spanish Mediterranean Huertas
Autor/es: Ruiz Varona, Ana | García Martín, Fernando | Temes Córdovez, Rafael R. | Garcia-Mayor, Clara | Casas-Villarreal, Luis
Grupo/s de investigación o GITE: Urbanística y Ordenación del Territorio en el Espacio Litoral
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Edificación y Urbanismo
Palabras clave: GIS | Peri-urban areas | Land cover | Agricultural landscapes | Landscape fragmentation | Data harmonization
Área/s de conocimiento: Urbanística y Ordenación del Territorio
Fecha de publicación: 27-ene-2022
Editor: Taylor & Francis
Cita bibliográfica: Journal of Land Use Science. 2022, 17(1): 523-539. https://doi.org/10.1080/1747423X.2021.2022793
Resumen: Most of the peri-urban areas in European cities are characterized by a mix of rural and urban uses. Despite being sprawled areas, they provide opportunities for improving green connectivity at a multiscale level, between urban-green and natural or agricultural peripheral extensions. Several land monitoring services, both at national and European levels, have become key tools to perform the analysis and diagnosis of its transformation patterns and dynamics. However, the accuracy of available datasets is typically not adequate for approaching the spatial complexity of these areas. This research proposes a methodology to improve precision by combining land use datasets and applies it to a specific study case, the peri-urban Spanish Mediterranean Huertas, highly valued agricultural and cultural landscapes under an intense urban pressure. Findings reveal that this method detects and solves inaccuracies, and it is easily replicable in different spatial contexts, becoming an effective tool for decision-making processes.
Patrocinador/es: This work was supported by the Regional Government of Aragon - Arquitecturas OpenSource Research Group 2020-2022 [S04_20D].
URI: http://hdl.handle.net/10045/121476
ISSN: 1747-423X (Print) | 1747-4248 (Online)
DOI: 10.1080/1747423X.2021.2022793
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Revisión científica: si
Versión del editor: https://doi.org/10.1080/1747423X.2021.2022793
Aparece en las colecciones:INV - UOTEL - Artículos de Revistas

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailRuiz-Varona_etal_2022_JLandUseSci.pdf11,52 MBAdobe PDFAbrir Vista previa


Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.