Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics

Detalhes bibliográficos
Autor(a) principal: Costa, Hugo
Data de Publicação: 2018
Outros Autores: Almeida, Diana, Vala, Francisco, Marcelino, Filipe, Caetano, Mário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/ijgi7040157
Resumo: Costa, H., Almeida, D., Vala, F., Marcelino, F., & Caetano, M. (2018). Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics. ISPRS International Journal of Geo-Information, 7(4), 1-21. [157]. DOI: 10.3390/ijgi7040157. Acknowledgments: The methodology presented in this paper derives from the development of a national methodology to produce Land Use and Land Cover statistics on a regular basis, under the scope of LUCAS Grant 2015, supported by Eurostat under contract number 08441.2015.002-2015.724. Further research and outputs reported in this paper were carried out and supported by the NOVA Information Management School (NOVA IMS) Research and Development Center (MagIC).
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spelling Land cover mapping from remotely sensed and auxiliary data for harmonized official statisticsChange detectionExpert knowledgeGISLandsatLUCAS surveyRule-based classificationGeography, Planning and DevelopmentComputers in Earth SciencesEarth and Planetary Sciences (miscellaneous)Costa, H., Almeida, D., Vala, F., Marcelino, F., & Caetano, M. (2018). Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics. ISPRS International Journal of Geo-Information, 7(4), 1-21. [157]. DOI: 10.3390/ijgi7040157. Acknowledgments: The methodology presented in this paper derives from the development of a national methodology to produce Land Use and Land Cover statistics on a regular basis, under the scope of LUCAS Grant 2015, supported by Eurostat under contract number 08441.2015.002-2015.724. Further research and outputs reported in this paper were carried out and supported by the NOVA Information Management School (NOVA IMS) Research and Development Center (MagIC).This paper describes a general framework alternative to the traditional surveys that are commonly performed to estimate, for statistical purposes, the areal extent of predefined land cover classes across Europe. The framework has been funded by Eurostat and relies on annual land cover mapping and updating from remotely sensed and national GIS-based data followed by area estimation. Map production follows a series of steps, namely data collection, change detection, supervised image classification, rule-based image classification, and map updating/generalization. Land cover area estimation is based on mapping but compensated for mapping error as estimated through thematic accuracy assessment. This general structure was applied to continental Portugal, successively updating a map of 2010 for the following years until 2015. The estimated land cover change was smaller than expected but the proposed framework was proved as a potential for statistics production at the national and European levels. Contextual and structural methodological challenges and bottlenecks are discussed, especially regarding mapping, accuracy assessment, and area estimation.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCosta, HugoAlmeida, DianaVala, FranciscoMarcelino, FilipeCaetano, Mário2018-05-15T22:10:13Z2018-04-012018-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttps://doi.org/10.3390/ijgi7040157eng2220-9964PURE: 4167982http://www.scopus.com/inward/record.url?scp=85046464666&partnerID=8YFLogxKhttps://doi.org/10.3390/ijgi7040157info: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:RCAAP2024-03-11T04:20:40Zoai:run.unl.pt:10362/37112Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:46.850996Repositório 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 Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
title Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
spellingShingle Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
Costa, Hugo
Change detection
Expert knowledge
GIS
Landsat
LUCAS survey
Rule-based classification
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
title_short Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
title_full Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
title_fullStr Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
title_full_unstemmed Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
title_sort Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics
author Costa, Hugo
author_facet Costa, Hugo
Almeida, Diana
Vala, Francisco
Marcelino, Filipe
Caetano, Mário
author_role author
author2 Almeida, Diana
Vala, Francisco
Marcelino, Filipe
Caetano, Mário
author2_role author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Costa, Hugo
Almeida, Diana
Vala, Francisco
Marcelino, Filipe
Caetano, Mário
dc.subject.por.fl_str_mv Change detection
Expert knowledge
GIS
Landsat
LUCAS survey
Rule-based classification
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
topic Change detection
Expert knowledge
GIS
Landsat
LUCAS survey
Rule-based classification
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
description Costa, H., Almeida, D., Vala, F., Marcelino, F., & Caetano, M. (2018). Land cover mapping from remotely sensed and auxiliary data for harmonized official statistics. ISPRS International Journal of Geo-Information, 7(4), 1-21. [157]. DOI: 10.3390/ijgi7040157. Acknowledgments: The methodology presented in this paper derives from the development of a national methodology to produce Land Use and Land Cover statistics on a regular basis, under the scope of LUCAS Grant 2015, supported by Eurostat under contract number 08441.2015.002-2015.724. Further research and outputs reported in this paper were carried out and supported by the NOVA Information Management School (NOVA IMS) Research and Development Center (MagIC).
publishDate 2018
dc.date.none.fl_str_mv 2018-05-15T22:10:13Z
2018-04-01
2018-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/ijgi7040157
url https://doi.org/10.3390/ijgi7040157
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2220-9964
PURE: 4167982
http://www.scopus.com/inward/record.url?scp=85046464666&partnerID=8YFLogxK
https://doi.org/10.3390/ijgi7040157
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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
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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
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