Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/92875 https://doi.org/10.1186/s40965-019-0070-2 |
Resumo: | OSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios. |
id |
RCAP_0001183edc5871571d7ea17a050d99e1 |
---|---|
oai_identifier_str |
oai:estudogeral.uc.pt:10316/92875 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performanceGIS performanceFOSS4GInteroperabilityOSM to LULCOSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios.031F-0B41-BD02 | José-Paulo Elvas DUARTE de ALMEIDAN/ASpringer Nature2019-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/92875http://hdl.handle.net/10316/92875https://doi.org/10.1186/s40965-019-0070-2eng2363-7501BASE:eb38ff265e19a046f7355af274c4abab2281454725b172434c66e3cb164c3834cv-prod-1094644Patriarca, J.Fonte, C. C.Estima, J.Almeida, J.-P. deCardoso, A.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:RCAAP2022-05-25T03:02:34Zoai:estudogeral.uc.pt:10316/92875Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:11:54.851118Repositório 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 |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
title |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
spellingShingle |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance Patriarca, J. GIS performance FOSS4G Interoperability OSM to LULC |
title_short |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
title_full |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
title_fullStr |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
title_full_unstemmed |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
title_sort |
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance |
author |
Patriarca, J. |
author_facet |
Patriarca, J. Fonte, C. C. Estima, J. Almeida, J.-P. de Cardoso, A. |
author_role |
author |
author2 |
Fonte, C. C. Estima, J. Almeida, J.-P. de Cardoso, A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Patriarca, J. Fonte, C. C. Estima, J. Almeida, J.-P. de Cardoso, A. |
dc.subject.por.fl_str_mv |
GIS performance FOSS4G Interoperability OSM to LULC |
topic |
GIS performance FOSS4G Interoperability OSM to LULC |
description |
OSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12 |
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/10316/92875 http://hdl.handle.net/10316/92875 https://doi.org/10.1186/s40965-019-0070-2 |
url |
http://hdl.handle.net/10316/92875 https://doi.org/10.1186/s40965-019-0070-2 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2363-7501 BASE:eb38ff265e19a046f7355af274c4abab2281454725b172434c66e3cb164c3834 cv-prod-1094644 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
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 |
|
_version_ |
1799134015249186816 |