Harmonization of categorical maps by alignment processes and thematic consistency analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10362/110542 |
Resumo: | Nicolau, R., Basos, N., Marcelino, F., Caetano, M., & M. C. Pereira, J. (2020). Harmonization of categorical maps by alignment processes and thematic consistency analysis. AIMS Geosciences, 6(4), 473-490. https://doi.org/10.3934/geosci.2020026 |
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Harmonization of categorical maps by alignment processes and thematic consistency analysisCategorical mapsGeometric and thematic harmonizationPositional errorsSDG 15 - Life on LandNicolau, R., Basos, N., Marcelino, F., Caetano, M., & M. C. Pereira, J. (2020). Harmonization of categorical maps by alignment processes and thematic consistency analysis. AIMS Geosciences, 6(4), 473-490. https://doi.org/10.3934/geosci.2020026This paper describes an approach for harmonizing historical vector categorical maps with related modern maps. The approach aims at the correction of geometric distortions and semantic disagreements using alignment processes and analysis of thematic coherence. The harmonized version of the map produced by this approach can already be overlaid with other maps, what was unfeasible with the original map. The positional errors of the old map are reduced by two consecutive geometric adjustments, which use transformations usually available in most GIS software. The thematic consistency between the old and the modern map is achieved by harmonizing their classification systems and by the inclusion of specific contents missing in the early map, but represented in the modern map (e.g. small rivers). This approach was tested in the geometric and thematic harmonization of the Portuguese Land Cover/Land Use (LCLU) map for 1990 (COS90). In this test, the 1995 orthorectified aerial images and the 1995 LCLU map (COS95) were used as reference sources of higher positional accuracy, to align the COS90 map. COS90 was firstly adjusted with the 1995 aerial images by an NTV2 grid transformation, developed by the authors. Then, for reduction of the local distortions, the map resulting from the first transformation was aligned with the COS95 by a rubber-sheeting linear interpolation transformation. This geometric harmonization enabled a decrease of the Root Mean Square Error of COS90 from 204 meters to 13 meters. The thematic harmonization of COS90 enabled its comparison with modern related maps, and the integration of 201 river sections, that were missing because the specifications used in the production of the original map did not allow their representation.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNNicolau, RitaBasos, NadiiaMarcelino, FilipeCaetano, MárioM. C. Pereira, José2021-01-21T23:46:15Z2020-01-012020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/110542eng2471-2132PURE: 27623469https://doi.org/10.3934/geosci.2020026info: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:RCAAP2024-03-11T04:54:26Zoai:run.unl.pt:10362/110542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:40.030637Repositório 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 |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
title |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
spellingShingle |
Harmonization of categorical maps by alignment processes and thematic consistency analysis Nicolau, Rita Categorical maps Geometric and thematic harmonization Positional errors SDG 15 - Life on Land |
title_short |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
title_full |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
title_fullStr |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
title_full_unstemmed |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
title_sort |
Harmonization of categorical maps by alignment processes and thematic consistency analysis |
author |
Nicolau, Rita |
author_facet |
Nicolau, Rita Basos, Nadiia Marcelino, Filipe Caetano, Mário M. C. Pereira, José |
author_role |
author |
author2 |
Basos, Nadiia Marcelino, Filipe Caetano, Mário M. C. Pereira, José |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
dc.contributor.author.fl_str_mv |
Nicolau, Rita Basos, Nadiia Marcelino, Filipe Caetano, Mário M. C. Pereira, José |
dc.subject.por.fl_str_mv |
Categorical maps Geometric and thematic harmonization Positional errors SDG 15 - Life on Land |
topic |
Categorical maps Geometric and thematic harmonization Positional errors SDG 15 - Life on Land |
description |
Nicolau, R., Basos, N., Marcelino, F., Caetano, M., & M. C. Pereira, J. (2020). Harmonization of categorical maps by alignment processes and thematic consistency analysis. AIMS Geosciences, 6(4), 473-490. https://doi.org/10.3934/geosci.2020026 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2020-01-01T00:00:00Z 2021-01-21T23:46:15Z |
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/10362/110542 |
url |
http://hdl.handle.net/10362/110542 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2471-2132 PURE: 27623469 https://doi.org/10.3934/geosci.2020026 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
18 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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138029626982400 |