A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping

Detalhes bibliográficos
Autor(a) principal: Ribeiro, A.
Data de Publicação: 2015
Outros Autores: Fonte, C. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/109175
https://doi.org/10.5194/isprsannals-II-3-W5-297-2015
Resumo: The data available in the collaborative project OpenStreetMap (OSM) is in some locations so detailed and complete that it may provide useful data for Land Cover Map creation and validation. However, this degree of detail is not uniform along space. Therefore, one of the first requirements that needs to be assessed to determine if the creation and validation of Land Cover Maps using data available in OSM may be feasible, is the availability of data to provide a relatively complete coverage of the region of interest. To provide a fast and automatic quantitative assessment of this requirement a methodology is presented and tested in this article. Four study areas are considered, all located in Europe. The results show that the four regions presented very different coverages at the time of data download and its spatial distribution was not uniform. This approach enabled the identification of the most problematic regions for land cover mapping, where low levels of data coverage are available. Since the proposed methodology can be automated, it enables a fast identification of the regions that, in a preliminary analysis, may be considered fit for further analysis to assess fitness for use for Land Cover Map creation and/or validation.
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spelling A methodology for assessing openstreetmap degree of coverage for purposes of land cover mappingVolunteered Geographic Information (VGI)OpenStreetMap (OSM)CoverageLand Cover Map CreationLand Cover Map ValidationThe data available in the collaborative project OpenStreetMap (OSM) is in some locations so detailed and complete that it may provide useful data for Land Cover Map creation and validation. However, this degree of detail is not uniform along space. Therefore, one of the first requirements that needs to be assessed to determine if the creation and validation of Land Cover Maps using data available in OSM may be feasible, is the availability of data to provide a relatively complete coverage of the region of interest. To provide a fast and automatic quantitative assessment of this requirement a methodology is presented and tested in this article. Four study areas are considered, all located in Europe. The results show that the four regions presented very different coverages at the time of data download and its spatial distribution was not uniform. This approach enabled the identification of the most problematic regions for land cover mapping, where low levels of data coverage are available. Since the proposed methodology can be automated, it enables a fast identification of the regions that, in a preliminary analysis, may be considered fit for further analysis to assess fitness for use for Land Cover Map creation and/or validation.Copernicus GmbH2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/109175http://hdl.handle.net/10316/109175https://doi.org/10.5194/isprsannals-II-3-W5-297-2015eng2194-9050Ribeiro, A.Fonte, C. C.info: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:RCAAP2023-09-29T15:18:18Zoai:estudogeral.uc.pt:10316/109175Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:25:22.255569Repositório 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 A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
title A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
spellingShingle A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
Ribeiro, A.
Volunteered Geographic Information (VGI)
OpenStreetMap (OSM)
Coverage
Land Cover Map Creation
Land Cover Map Validation
title_short A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
title_full A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
title_fullStr A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
title_full_unstemmed A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
title_sort A methodology for assessing openstreetmap degree of coverage for purposes of land cover mapping
author Ribeiro, A.
author_facet Ribeiro, A.
Fonte, C. C.
author_role author
author2 Fonte, C. C.
author2_role author
dc.contributor.author.fl_str_mv Ribeiro, A.
Fonte, C. C.
dc.subject.por.fl_str_mv Volunteered Geographic Information (VGI)
OpenStreetMap (OSM)
Coverage
Land Cover Map Creation
Land Cover Map Validation
topic Volunteered Geographic Information (VGI)
OpenStreetMap (OSM)
Coverage
Land Cover Map Creation
Land Cover Map Validation
description The data available in the collaborative project OpenStreetMap (OSM) is in some locations so detailed and complete that it may provide useful data for Land Cover Map creation and validation. However, this degree of detail is not uniform along space. Therefore, one of the first requirements that needs to be assessed to determine if the creation and validation of Land Cover Maps using data available in OSM may be feasible, is the availability of data to provide a relatively complete coverage of the region of interest. To provide a fast and automatic quantitative assessment of this requirement a methodology is presented and tested in this article. Four study areas are considered, all located in Europe. The results show that the four regions presented very different coverages at the time of data download and its spatial distribution was not uniform. This approach enabled the identification of the most problematic regions for land cover mapping, where low levels of data coverage are available. Since the proposed methodology can be automated, it enables a fast identification of the regions that, in a preliminary analysis, may be considered fit for further analysis to assess fitness for use for Land Cover Map creation and/or validation.
publishDate 2015
dc.date.none.fl_str_mv 2015
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 http://hdl.handle.net/10316/109175
http://hdl.handle.net/10316/109175
https://doi.org/10.5194/isprsannals-II-3-W5-297-2015
url http://hdl.handle.net/10316/109175
https://doi.org/10.5194/isprsannals-II-3-W5-297-2015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2194-9050
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Copernicus GmbH
publisher.none.fl_str_mv Copernicus GmbH
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
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