Dasymetric mapping using UAV high resolution 3D data within urban areas

Detalhes bibliográficos
Autor(a) principal: Rebelo, Carla
Data de Publicação: 2019
Outros Autores: Rodrigues, António Manuel, Tenedório, José António
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/94461
Resumo: UID/SOC/04647/2019
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spelling Dasymetric mapping using UAV high resolution 3D data within urban areas3D point cloudBuilding parametersCensusFree open source softwareMonte Carlo simulationsEarth and Planetary Sciences(all)UID/SOC/04647/2019Multi-temporal analysis of census small-area microdata is hampered by the fact that census tract shapes do not often coincide between census exercises. Dasymetric mapping techniques provide a workaround that is nonetheless highly dependent on the quality of ancillary data. The objectives of this work are to: (1) Compare the use of three spatial techniques for the estimation of population according to census tracts: Areal interpolation and dasymetric mapping using control data-building block area (2D) and volume (3D); (2) demonstrate the potential of unmanned aerial vehicle (UAV) technology for the acquisition of control data; (3) perform a sensitivity analysis using Monte Carlo simulations showing the effect of changes in building block volume (3D information) in population estimates. The control data were extracted by a (semi)-automatic solution-3DEBP (3D extraction building parameters) developed using free open source software (FOSS) tools. The results highlight the relevance of 3D for the dasymetric mapping exercise, especially if the variations in height between building blocks are significant. Using low-cost UAV backed systems with a FOSS-only computing framework also proved to be a competent solution with a large scope of potential applications.Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)Departamento de Geografia e Planeamento Regional (DGPR)RUNRebelo, CarlaRodrigues, António ManuelTenedório, José António2020-03-17T23:31:39Z2019-01-012019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttp://hdl.handle.net/10362/94461eng2072-4292PURE: 15705860https://doi.org/10.3390/rs11141716info: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:RCAAP2024-03-11T04:42:24Zoai:run.unl.pt:10362/94461Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:57.815941Repositório 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 Dasymetric mapping using UAV high resolution 3D data within urban areas
title Dasymetric mapping using UAV high resolution 3D data within urban areas
spellingShingle Dasymetric mapping using UAV high resolution 3D data within urban areas
Rebelo, Carla
3D point cloud
Building parameters
Census
Free open source software
Monte Carlo simulations
Earth and Planetary Sciences(all)
title_short Dasymetric mapping using UAV high resolution 3D data within urban areas
title_full Dasymetric mapping using UAV high resolution 3D data within urban areas
title_fullStr Dasymetric mapping using UAV high resolution 3D data within urban areas
title_full_unstemmed Dasymetric mapping using UAV high resolution 3D data within urban areas
title_sort Dasymetric mapping using UAV high resolution 3D data within urban areas
author Rebelo, Carla
author_facet Rebelo, Carla
Rodrigues, António Manuel
Tenedório, José António
author_role author
author2 Rodrigues, António Manuel
Tenedório, José António
author2_role author
author
dc.contributor.none.fl_str_mv Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)
Departamento de Geografia e Planeamento Regional (DGPR)
RUN
dc.contributor.author.fl_str_mv Rebelo, Carla
Rodrigues, António Manuel
Tenedório, José António
dc.subject.por.fl_str_mv 3D point cloud
Building parameters
Census
Free open source software
Monte Carlo simulations
Earth and Planetary Sciences(all)
topic 3D point cloud
Building parameters
Census
Free open source software
Monte Carlo simulations
Earth and Planetary Sciences(all)
description UID/SOC/04647/2019
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2019-01-01T00:00:00Z
2020-03-17T23:31:39Z
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/10362/94461
url http://hdl.handle.net/10362/94461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-4292
PURE: 15705860
https://doi.org/10.3390/rs11141716
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14
application/pdf
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
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