Exploratory analysis of OpenStreetMap for land use classification

Bibliographic Details
Main Author: Estima, Jacinto
Publication Date: 2013
Other Authors: Painho, Marco
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/13603
Summary: In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.
id RCAP_d7de9ac8b6eeb974646adcebf97ec28c
oai_identifier_str oai:run.unl.pt:10362/13603
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Exploratory analysis of OpenStreetMap for land use classificationVolunteered Geographic InformationGISOpenStreetMapLand useIn the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.Association for Computing Machinery (ACM)RUNEstima, JacintoPainho, Marco2014-11-04T14:24:39Z2013-112014-11-03T15:55:28Z2013-11-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10362/13603eng978-1-4503-2528-810.1145/2534732.2534734info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:17:07Zoai:run.unl.pt:10362/13603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:48:05.733687Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Exploratory analysis of OpenStreetMap for land use classification
title Exploratory analysis of OpenStreetMap for land use classification
spellingShingle Exploratory analysis of OpenStreetMap for land use classification
Estima, Jacinto
Volunteered Geographic Information
GIS
OpenStreetMap
Land use
title_short Exploratory analysis of OpenStreetMap for land use classification
title_full Exploratory analysis of OpenStreetMap for land use classification
title_fullStr Exploratory analysis of OpenStreetMap for land use classification
title_full_unstemmed Exploratory analysis of OpenStreetMap for land use classification
title_sort Exploratory analysis of OpenStreetMap for land use classification
author Estima, Jacinto
author_facet Estima, Jacinto
Painho, Marco
author_role author
author2 Painho, Marco
author2_role author
dc.contributor.none.fl_str_mv RUN
dc.contributor.author.fl_str_mv Estima, Jacinto
Painho, Marco
dc.subject.por.fl_str_mv Volunteered Geographic Information
GIS
OpenStreetMap
Land use
topic Volunteered Geographic Information
GIS
OpenStreetMap
Land use
description In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
2013-11-01T00:00:00Z
2014-11-04T14:24:39Z
2014-11-03T15:55:28Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/13603
url http://hdl.handle.net/10362/13603
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-4503-2528-8
10.1145/2534732.2534734
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Association for Computing Machinery (ACM)
publisher.none.fl_str_mv Association for Computing Machinery (ACM)
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596200687763456