Publicação
Land use/land cover change detection and urban sprawl analysis
| Resumo: | This study presents a proposed application of the Time-Weighted Dynamic Time Warping (TWDTW) method for urban sprawl analysis. Four spectral indices were computed from a long time-series of Landsat satellite imagery, corresponding to 48 scenes acquired between 2006 and 2018. The spectral indices were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Built Index (NDBI), the Normalized Difference Water Index (NDWI), and the Normalized Difference Bareness Index (NDBaI), which when processed resulted in 192 different images. The R package dtwSat was used for image processing, since it represents one of the few open source software programs available for processing large time-series datasets. The method was tested applied in the Alentejo Region of Southern Portugal; traditionally a rural region, where urban sprawl presents risks for the preservation of agricultural systems and for ecosystem sustainability. The sprawl analysis was integrated in a Geographic Information System (GIS), in which we computed an Expansion Index to quantitatively assess the three main urban land expansion types: infill, extension, and leapfrog. The results show that, between 2007 and 2012, the main changes are due to extension (50 ha), but with a significant amount of infill (36 ha) and leapfrog growth (4 ha), with this latter being the worst-case scenario. However, in the subsequent period, 2012-2017, urban growth decreased to about 10 ha, comprising both infill and extension, but notably leapfrog expansion disappeared. Our methodology proved to be flexible for managing irregular sampling and an out-of-phase time-series. The procedure offers a quantitative means of assessing urban sprawl dynamics and represents a potential strategy for defining sustainable urban development. |
|---|---|
| Autores principais: | Viana, Cláudia M. |
| Outros Autores: | Oliveira, Sandra; Oliveira, Sérgio; Rocha, Jorge |
| Assunto: | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1866810873090146304 |
|---|---|
| author | Viana, Cláudia M. |
| author2 | Oliveira, Sandra Oliveira, Sérgio Rocha, Jorge |
| author2_role | author author author |
| author_facet | Viana, Cláudia M. Oliveira, Sandra Oliveira, Sérgio Rocha, Jorge |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Viana, Cláudia M.\",\"Person.identifier.orcid\":\"0000-0001-6858-4522\"},{\"Person.name\":\"Oliveira, Sandra\",\"Person.identifier.orcid\":\"0000-0002-6253-4353\"},{\"Person.name\":\"Oliveira, Sérgio\",\"Person.identifier.orcid\":\"0000-0003-0883-8564\"},{\"Person.name\":\"Rocha, Jorge\",\"Person.identifier.orcid\":\"0000-0002-7228-6330\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Viana, Cláudia M. Oliveira, Sandra Oliveira, Sérgio Rocha, Jorge |
| datacite.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2019-07-01T10:33:27Z |
| datacite.date.embargoed.fl_str_mv | 2019-07-01T10:33:27Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| datacite.titles.title.fl_str_mv | Land use/land cover change detection and urban sprawl analysis |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Viana, Cláudia M. Oliveira, Sandra Oliveira, Sérgio Rocha, Jorge |
| dc.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2019-07-01T10:33:27Z |
| dc.date.embargoed.fl_str_mv | 2019-07-01T10:33:27Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/38912 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| dc.title.fl_str_mv | Land use/land cover change detection and urban sprawl analysis |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This study presents a proposed application of the Time-Weighted Dynamic Time Warping (TWDTW) method for urban sprawl analysis. Four spectral indices were computed from a long time-series of Landsat satellite imagery, corresponding to 48 scenes acquired between 2006 and 2018. The spectral indices were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Built Index (NDBI), the Normalized Difference Water Index (NDWI), and the Normalized Difference Bareness Index (NDBaI), which when processed resulted in 192 different images. The R package dtwSat was used for image processing, since it represents one of the few open source software programs available for processing large time-series datasets. The method was tested applied in the Alentejo Region of Southern Portugal; traditionally a rural region, where urban sprawl presents risks for the preservation of agricultural systems and for ecosystem sustainability. The sprawl analysis was integrated in a Geographic Information System (GIS), in which we computed an Expansion Index to quantitatively assess the three main urban land expansion types: infill, extension, and leapfrog. The results show that, between 2007 and 2012, the main changes are due to extension (50 ha), but with a significant amount of infill (36 ha) and leapfrog growth (4 ha), with this latter being the worst-case scenario. However, in the subsequent period, 2012-2017, urban growth decreased to about 10 ha, comprising both infill and extension, but notably leapfrog expansion disappeared. Our methodology proved to be flexible for managing irregular sampling and an out-of-phase time-series. The procedure offers a quantitative means of assessing urban sprawl dynamics and represents a potential strategy for defining sustainable urban development. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/d2aea1b3-d01d-4e8f-b93e-4d4024da9878/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | OE |
| id | ul_e12d4ee1bb40bee8f1d951fc8d1077eb |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/38912 |
| 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:10451/38912 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Viana, Cláudia M. Viana, Cláudia M. https://www.ciencia-id.pt/0712-B263-3133 0712-B263-3133 http://orcid.org/0000-0001-6858-4522 0000-0001-6858-4522 Oliveira, Sandra Oliveira, Sandra https://www.ciencia-id.pt/8A16-4976-FD63 8A16-4976-FD63 http://orcid.org/0000-0002-6253-4353 0000-0002-6253-4353 Oliveira, Sérgio Oliveira, Sérgio https://www.ciencia-id.pt/1B10-8CE2-1F13 1B10-8CE2-1F13 http://orcid.org/0000-0003-0883-8564 0000-0003-0883-8564 Rocha, Jorge Rocha, Jorge https://www.ciencia-id.pt/EC15-76DC-9B96 EC15-76DC-9B96 http://orcid.org/0000-0002-7228-6330 0000-0002-7228-6330 |
| publishDate | 2019 |
| publisher.none.fl_str_mv | Elsevier |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engElsevierpt_PTThis study presents a proposed application of the Time-Weighted Dynamic Time Warping (TWDTW) method for urban sprawl analysis. Four spectral indices were computed from a long time-series of Landsat satellite imagery, corresponding to 48 scenes acquired between 2006 and 2018. The spectral indices were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Built Index (NDBI), the Normalized Difference Water Index (NDWI), and the Normalized Difference Bareness Index (NDBaI), which when processed resulted in 192 different images. The R package dtwSat was used for image processing, since it represents one of the few open source software programs available for processing large time-series datasets. The method was tested applied in the Alentejo Region of Southern Portugal; traditionally a rural region, where urban sprawl presents risks for the preservation of agricultural systems and for ecosystem sustainability. The sprawl analysis was integrated in a Geographic Information System (GIS), in which we computed an Expansion Index to quantitatively assess the three main urban land expansion types: infill, extension, and leapfrog. The results show that, between 2007 and 2012, the main changes are due to extension (50 ha), but with a significant amount of infill (36 ha) and leapfrog growth (4 ha), with this latter being the worst-case scenario. However, in the subsequent period, 2012-2017, urban growth decreased to about 10 ha, comprising both infill and extension, but notably leapfrog expansion disappeared. Our methodology proved to be flexible for managing irregular sampling and an out-of-phase time-series. The procedure offers a quantitative means of assessing urban sprawl dynamics and represents a potential strategy for defining sustainable urban development.application/pdfpt_PTLand use/land cover change detection and urban sprawl analysisPersonalViana, Cláudia M.DSpacehttp://dspace.org/items/f0bca8f1-525f-49ba-a2ab-c4794d88e2c8DSpacehttp://dspace.org/items/f0bca8f1-525f-49ba-a2ab-c4794d88e2c8M. VianaCláudiaCiência IDhttps://www.ciencia-id.pt0712-B263-3133ORCIDhttp://orcid.org0000-0001-6858-4522Researcher IDhttps://www.researcherid.comA-9352-2019Scopus Author IDhttps://www.scopus.com57200209862Scopus Author IDhttps://www.scopus.com57208061564PersonalOliveira, SandraDSpacehttp://dspace.org/items/d30eb4c5-8ef1-426b-8e80-baa646b30f0eDSpacehttp://dspace.org/items/d30eb4c5-8ef1-426b-8e80-baa646b30f0eOliveiraSandraCiência IDhttps://www.ciencia-id.pt8A16-4976-FD63ORCIDhttp://orcid.org0000-0002-6253-4353Researcher IDhttps://www.researcherid.comAAK-5051-2020Scopus Author IDhttps://www.scopus.com17435272900PersonalOliveira, SérgioDSpacehttp://dspace.org/items/eb79e9a4-db50-4237-8cfa-5ef7a22b243aDSpacehttp://dspace.org/items/eb79e9a4-db50-4237-8cfa-5ef7a22b243aOliveiraSérgioCiência IDhttps://www.ciencia-id.pt1B10-8CE2-1F13ORCIDhttp://orcid.org0000-0003-0883-8564Researcher IDhttps://www.researcherid.comM-8412-2016Scopus Author IDhttps://www.scopus.com24779631800PersonalRocha, JorgeDSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9DSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9RochaJorgeCiência IDhttps://www.ciencia-id.ptEC15-76DC-9B96ORCIDhttp://orcid.org0000-0002-7228-6330Researcher IDhttps://www.researcherid.comF-3185-2017Researcher IDhttps://www.researcherid.comF-3185-2017Scopus Author IDhttps://www.scopus.com56428061000HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISBNIsPartOf97801281522632019-07-01T10:33:27Z20192019-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/38912http://purl.org/coar/access_right/c_16ecrestricted accessUrban sprawlLand use/cover changeRemote sensingTime-Weighted Dynamic Time WarpingTime-series2080052 bytesFundação para a Ciência e a TecnologiaModelo de otimização espacial do Uso do Solo Agrícola: Integração de Autómatos Celulares e algorítmos inteligentes na análise de dados quantitativos e qualitativosCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaMODELAÇÃO DINÂMICA DA PERIGOSIDADE A MOVIMENTOS DE VERTENTE E DESENVOLVIMENTO DE UM PROTÓTIPO DE SISTEMA DE ALERTA À ESCALA REGIONAL MOVALERTOECrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/d2aea1b3-d01d-4e8f-b93e-4d4024da9878/downloadSpatial Modeling in GIS and R for Earth and Environmental Sciences621651 |
| spellingShingle | Land use/land cover change detection and urban sprawl analysis Viana, Cláudia M. Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| status | SINGLETON |
| subject.fl_str_mv | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| title | Land use/land cover change detection and urban sprawl analysis |
| title_full | Land use/land cover change detection and urban sprawl analysis |
| title_fullStr | Land use/land cover change detection and urban sprawl analysis |
| title_full_unstemmed | Land use/land cover change detection and urban sprawl analysis |
| title_short | Land use/land cover change detection and urban sprawl analysis |
| title_sort | Land use/land cover change detection and urban sprawl analysis |
| topic | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| topic_facet | Urban sprawl Land use/cover change Remote sensing Time-Weighted Dynamic Time Warping Time-series |
| url | http://hdl.handle.net/10451/38912 |
| visible | 1 |