Exploratory analysis of OpenStreetMap for land use classification
Main Author: | |
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Publication Date: | 2013 |
Other Authors: | |
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. |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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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 |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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