Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery

Several studies have demonstrated that farmland abandonment occurs not only in rural areas, but is also closely interlinked with urbanization processes. Therefore, the location of abandoned land and the registration of the spatial information referring to it play important roles in urban land manage...

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Detalles Bibliográficos
Autor: Ruiz Lendínez, Juan José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/4243
Acceso en línea:https://www.mdpi.com/2220-9964/9/4/191
https://hdl.handle.net/10953/4243
Access Level:acceso abierto
Palabra clave:farmland abandonment mapping
textural segmentation
aerial imagery
land use
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spelling Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial ImageryRuiz Lendínez, Juan Joséfarmland abandonment mappingtextural segmentationaerial imageryland useSeveral studies have demonstrated that farmland abandonment occurs not only in rural areas, but is also closely interlinked with urbanization processes. Therefore, the location of abandoned land and the registration of the spatial information referring to it play important roles in urban land management. However, mapping abandoned land or land in the process of abandonment is not an easy task because the limits between the di erent land uses are not clear and precise. It is therefore necessary to develop methods that allow estimating and mapping this type of land as accurately as possible. As an alternative to other geomatics methods such as satellite remote sensing, our approach proposes a framework for automatically locating abandoned farmland in urban landscapes using the textural characterization and segmentation of aerial imagery. Using the city of Pozna´n (Poland) as a case study, results demonstrated the feasibility of applying our approach, reducing processing time and workforce resources. Specifically and by comparing the results obtained with the data provided by CORINE Land Cover, 2275 ha (40.3%) of arable land within the city limits were abandoned, and the area of abandoned arable land was almost 9.2% of the city’s area. Finally, the reliability of the proposed methodology was assessed from two di erent focuses: (i) the accuracy of the segmentation results (from a positional point of view) and (ii) the e ciency of locating abandoned land (as a specific type of land use) in urban areas particularly a ected by rapid urbanization.MDPI202520252020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.mdpi.com/2220-9964/9/4/191https://hdl.handle.net/10953/4243reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésISPRS. International Journal o f Geo-InformationCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/42432026-06-24T12:41:07Z
dc.title.none.fl_str_mv Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
title Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
spellingShingle Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
Ruiz Lendínez, Juan José
farmland abandonment mapping
textural segmentation
aerial imagery
land use
title_short Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
title_full Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
title_fullStr Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
title_full_unstemmed Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
title_sort Abandoned Farmland Location in Areas A ected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery
dc.creator.none.fl_str_mv Ruiz Lendínez, Juan José
author Ruiz Lendínez, Juan José
author_facet Ruiz Lendínez, Juan José
author_role author
dc.subject.none.fl_str_mv farmland abandonment mapping
textural segmentation
aerial imagery
land use
topic farmland abandonment mapping
textural segmentation
aerial imagery
land use
description Several studies have demonstrated that farmland abandonment occurs not only in rural areas, but is also closely interlinked with urbanization processes. Therefore, the location of abandoned land and the registration of the spatial information referring to it play important roles in urban land management. However, mapping abandoned land or land in the process of abandonment is not an easy task because the limits between the di erent land uses are not clear and precise. It is therefore necessary to develop methods that allow estimating and mapping this type of land as accurately as possible. As an alternative to other geomatics methods such as satellite remote sensing, our approach proposes a framework for automatically locating abandoned farmland in urban landscapes using the textural characterization and segmentation of aerial imagery. Using the city of Pozna´n (Poland) as a case study, results demonstrated the feasibility of applying our approach, reducing processing time and workforce resources. Specifically and by comparing the results obtained with the data provided by CORINE Land Cover, 2275 ha (40.3%) of arable land within the city limits were abandoned, and the area of abandoned arable land was almost 9.2% of the city’s area. Finally, the reliability of the proposed methodology was assessed from two di erent focuses: (i) the accuracy of the segmentation results (from a positional point of view) and (ii) the e ciency of locating abandoned land (as a specific type of land use) in urban areas particularly a ected by rapid urbanization.
publishDate 2020
dc.date.none.fl_str_mv 2020
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2220-9964/9/4/191
https://hdl.handle.net/10953/4243
url https://www.mdpi.com/2220-9964/9/4/191
https://hdl.handle.net/10953/4243
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv ISPRS. International Journal o f Geo-Information
dc.rights.none.fl_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
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collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
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