Publicação
Influence of digital elevation models on landslide susceptibility with logistic regression model
| Resumo: | This paper focuses on the influence of Digital Elevation Models on the landslides susceptibility assessment in agricultural terraces, using Logistic Regression statistical model.This study was performed in a watershed located at Carvalhas Estate in Douro Valley, using an inventory of 109 landslides. To analyse the influence of the digital elevation model (DEM) resolution we used three DEMs, (A), (B) and (C). The DEMs (A) and (B) were directly obtained by processing aerial images and extracting different resolutions, 1 and 5 meters, respectively. The DEM (C), with 5m resolution, was processed with Topo to Raster interpolation method, using as input data contour lines of 10 m interval, elevation points and hydrography. The Logistic Regression was performed using two models which are distinguished by the independent variables selection. At model 1 was used the slope, curvature, raiser slope, riser height, contributing areas and topographic wetness index. In model 2 we decide remove the independent variables related with the terrace geometry, riser slope and riser height. The result seems to indicate that there is no significant influence of different resolutions of Digital Elevation Models in susceptibility modelling at this small scale and using statistical methods. The independent variables riser slope and riser height provide information of the terraces geometry and the construction techniques that enter the modelling process with more detailed information. |
|---|---|
| Autores principais: | Gonçalves, José |
| Outros Autores: | Faria, Ana; Bateira, Carlos; Fernandes, Joana; Oliveira, Ana |
| Assunto: | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1865920793277366272 |
|---|---|
| author | Gonçalves, José |
| author2 | Faria, Ana Bateira, Carlos Fernandes, Joana Oliveira, Ana |
| author2_role | author author author author |
| author_facet | Gonçalves, José Gonçalves, José Faria, Ana Bateira, Carlos Fernandes, Joana Oliveira, Ana Faria, Ana Bateira, Carlos Fernandes, Joana Oliveira, Ana |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Gonçalves, José\"},{\"Person.name\":\"Faria, Ana\"},{\"Person.name\":\"Bateira, Carlos\",\"Person.identifier.orcid\":\"0000-0002-5039-6053\"},{\"Person.name\":\"Fernandes, Joana\"},{\"Person.name\":\"Oliveira, Ana\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Gonçalves, José Faria, Ana Bateira, Carlos Fernandes, Joana Oliveira, Ana |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2019-07-11T12:12:42Z |
| datacite.date.embargoed.fl_str_mv | 2019-07-11T12:12:42Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| datacite.titles.title.fl_str_mv | Influence of digital elevation models on landslide susceptibility with logistic regression model Influência dos modelos digitais de elevação na susceptibilidade a escorregamento com Modelo de Regressão Logística |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Gonçalves, José Faria, Ana Bateira, Carlos Fernandes, Joana Oliveira, Ana |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2019-07-11T12:12:42Z |
| dc.date.embargoed.fl_str_mv | 2019-07-11T12:12:42Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/39052 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Universidade de São Paulo, Faculdade de Filosofia, Letras e Ciências Humanas Departamento de Geografia |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| dc.title.fl_str_mv | Influence of digital elevation models on landslide susceptibility with logistic regression model Influência dos modelos digitais de elevação na susceptibilidade a escorregamento com Modelo de Regressão Logística |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This paper focuses on the influence of Digital Elevation Models on the landslides susceptibility assessment in agricultural terraces, using Logistic Regression statistical model.This study was performed in a watershed located at Carvalhas Estate in Douro Valley, using an inventory of 109 landslides. To analyse the influence of the digital elevation model (DEM) resolution we used three DEMs, (A), (B) and (C). The DEMs (A) and (B) were directly obtained by processing aerial images and extracting different resolutions, 1 and 5 meters, respectively. The DEM (C), with 5m resolution, was processed with Topo to Raster interpolation method, using as input data contour lines of 10 m interval, elevation points and hydrography. The Logistic Regression was performed using two models which are distinguished by the independent variables selection. At model 1 was used the slope, curvature, raiser slope, riser height, contributing areas and topographic wetness index. In model 2 we decide remove the independent variables related with the terrace geometry, riser slope and riser height. The result seems to indicate that there is no significant influence of different resolutions of Digital Elevation Models in susceptibility modelling at this small scale and using statistical methods. The independent variables riser slope and riser height provide information of the terraces geometry and the construction techniques that enter the modelling process with more detailed information. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/30dd166f-de79-41d7-bba7-b9ebbec0dd32/download |
| id | ul_504efbcdcc7f7b8d68a373dcfa28d40d |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/39052 |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10451/39052 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Gonçalves, José Faria, Ana Bateira, Carlos Bateira, Carlos http://orcid.org/0000-0002-5039-6053 0000-0002-5039-6053 Fernandes, Joana Oliveira, Ana |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Universidade de São Paulo, Faculdade de Filosofia, Letras e Ciências Humanas Departamento de Geografia |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engUniversidade de São Paulo, Faculdade de Filosofia, Letras e Ciências Humanas Departamento de Geografiapt_PTThis paper focuses on the influence of Digital Elevation Models on the landslides susceptibility assessment in agricultural terraces, using Logistic Regression statistical model.This study was performed in a watershed located at Carvalhas Estate in Douro Valley, using an inventory of 109 landslides. To analyse the influence of the digital elevation model (DEM) resolution we used three DEMs, (A), (B) and (C). The DEMs (A) and (B) were directly obtained by processing aerial images and extracting different resolutions, 1 and 5 meters, respectively. The DEM (C), with 5m resolution, was processed with Topo to Raster interpolation method, using as input data contour lines of 10 m interval, elevation points and hydrography. The Logistic Regression was performed using two models which are distinguished by the independent variables selection. At model 1 was used the slope, curvature, raiser slope, riser height, contributing areas and topographic wetness index. In model 2 we decide remove the independent variables related with the terrace geometry, riser slope and riser height. The result seems to indicate that there is no significant influence of different resolutions of Digital Elevation Models in susceptibility modelling at this small scale and using statistical methods. The independent variables riser slope and riser height provide information of the terraces geometry and the construction techniques that enter the modelling process with more detailed information.application/pdfpt_PTInfluence of digital elevation models on landslide susceptibility with logistic regression modelAlternativeTitlept_PTInfluência dos modelos digitais de elevação na susceptibilidade a escorregamento com Modelo de Regressão LogísticaGonçalves, JoséFaria, AnaPersonalBateira, CarlosDSpacehttp://dspace.org/items/1037a118-9741-4689-bc1d-5d737b28517cDSpacehttp://dspace.org/items/1037a118-9741-4689-bc1d-5d737b28517cBateiraCarlosORCIDhttp://orcid.org0000-0002-5039-6053Scopus Author IDhttps://www.scopus.com55191330600Fernandes, JoanaOliveira, AnaHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISSNIsPartOf2236-2878ISSNIsPartOf0102-4582DOIIsPartOf10.11606/rdg.v36i0.1501112019-07-11T12:12:42Z20182018-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/39052http://purl.org/coar/access_right/c_abf2open accessStatistical ModellingLandslidesAgriculture TerracesDouro Demarcated Region5704754 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/30dd166f-de79-41d7-bba7-b9ebbec0dd32/downloadRevista do Departamento de Geografia363347 |
| spellingShingle | Influence of digital elevation models on landslide susceptibility with logistic regression model Influence of digital elevation models on landslide susceptibility with logistic regression model Gonçalves, José Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region Gonçalves, José Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| status | SINGLETON |
| subject.fl_str_mv | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| title | Influence of digital elevation models on landslide susceptibility with logistic regression model |
| title_full | Influence of digital elevation models on landslide susceptibility with logistic regression model |
| title_fullStr | Influence of digital elevation models on landslide susceptibility with logistic regression model Influence of digital elevation models on landslide susceptibility with logistic regression model |
| title_full_unstemmed | Influence of digital elevation models on landslide susceptibility with logistic regression model Influence of digital elevation models on landslide susceptibility with logistic regression model |
| title_short | Influence of digital elevation models on landslide susceptibility with logistic regression model |
| title_sort | Influence of digital elevation models on landslide susceptibility with logistic regression model |
| topic | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| topic_facet | Statistical Modelling Landslides Agriculture Terraces Douro Demarcated Region |
| url | http://hdl.handle.net/10451/39052 |
| visible | 1 |