MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.18055/Finis12258 |
Resumo: | The Portuguese territory has undergone a relevant land use and land cover changes (LUCC) over the past decades. The land use and land cover (LUC) datasets revision and new datasets production allow us to understand LUCC over time. This study goes further into this analysis using the most recent LUC datasets, covering the whole Portuguese continental area, from 1990 to 2012 and presents innovative knowledge that helps understanding LUC dynamics within this period. It shows that the trends inducing spatial variation within different LUC classes changed over time, revealing different spatial and temporal dynamics of these LUCC in the Portuguese territory. The main LUCC are related to the reduction of forest and certain types of agricultural areas, and an increase in urban areas, but the main LUCC assume different dynamics when taken at the regional scale (NUTS II). Future tendencies within LUCC are also estimated using CA-Markov, and the results point out the tendency of increase and decrease of the LUC types previously mentioned. The areas of LUC datasets with different properties were compared and large area discrepancies were observed for some LUC classes. These assessments are relevant results for the evaluation and understanding of LUCC and namely for the Portuguese planning process in the near future. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACHArtigosThe Portuguese territory has undergone a relevant land use and land cover changes (LUCC) over the past decades. The land use and land cover (LUC) datasets revision and new datasets production allow us to understand LUCC over time. This study goes further into this analysis using the most recent LUC datasets, covering the whole Portuguese continental area, from 1990 to 2012 and presents innovative knowledge that helps understanding LUC dynamics within this period. It shows that the trends inducing spatial variation within different LUC classes changed over time, revealing different spatial and temporal dynamics of these LUCC in the Portuguese territory. The main LUCC are related to the reduction of forest and certain types of agricultural areas, and an increase in urban areas, but the main LUCC assume different dynamics when taken at the regional scale (NUTS II). Future tendencies within LUCC are also estimated using CA-Markov, and the results point out the tendency of increase and decrease of the LUC types previously mentioned. The areas of LUC datasets with different properties were compared and large area discrepancies were observed for some LUC classes. These assessments are relevant results for the evaluation and understanding of LUCC and namely for the Portuguese planning process in the near future.Centro de Estudos Geográficos2018-03-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/10.18055/Finis12258eng2182-29050430-5027Meneses, Bruno M.Reis, EusébioVale, Maria J.Reis, Ruiinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-06T15:13:37Zoai:ojs.revistas.rcaap.pt:article/12258Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T15:13:37Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
title |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
spellingShingle |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH Meneses, Bruno M. Artigos |
title_short |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
title_full |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
title_fullStr |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
title_full_unstemmed |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
title_sort |
MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH |
author |
Meneses, Bruno M. |
author_facet |
Meneses, Bruno M. Reis, Eusébio Vale, Maria J. Reis, Rui |
author_role |
author |
author2 |
Reis, Eusébio Vale, Maria J. Reis, Rui |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Meneses, Bruno M. Reis, Eusébio Vale, Maria J. Reis, Rui |
dc.subject.por.fl_str_mv |
Artigos |
topic |
Artigos |
description |
The Portuguese territory has undergone a relevant land use and land cover changes (LUCC) over the past decades. The land use and land cover (LUC) datasets revision and new datasets production allow us to understand LUCC over time. This study goes further into this analysis using the most recent LUC datasets, covering the whole Portuguese continental area, from 1990 to 2012 and presents innovative knowledge that helps understanding LUC dynamics within this period. It shows that the trends inducing spatial variation within different LUC classes changed over time, revealing different spatial and temporal dynamics of these LUCC in the Portuguese territory. The main LUCC are related to the reduction of forest and certain types of agricultural areas, and an increase in urban areas, but the main LUCC assume different dynamics when taken at the regional scale (NUTS II). Future tendencies within LUCC are also estimated using CA-Markov, and the results point out the tendency of increase and decrease of the LUC types previously mentioned. The areas of LUC datasets with different properties were compared and large area discrepancies were observed for some LUC classes. These assessments are relevant results for the evaluation and understanding of LUCC and namely for the Portuguese planning process in the near future. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-29 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.18055/Finis12258 |
url |
https://doi.org/10.18055/Finis12258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2182-2905 0430-5027 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Centro de Estudos Geográficos |
publisher.none.fl_str_mv |
Centro de Estudos Geográficos |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817544113696800768 |