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Automatic detection of vegetation cover changes in urban-rural interface areas

2022Artigo científico Acesso aberto
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dc.contributor.authorBarbosa, Bruno
dc.contributor.authorRocha, Jorge
dc.contributor.authorCosta, Hugo
dc.contributor.authorCaetano, Mário
dc.date.accessioned2022-03-28T15:33:33Z
dc.date.available2022-03-28T15:33:33Z
dc.date.issued2022
dc.description.abstractThe present work started from the need to streamline the process of monitoring changes in vegetation in the in urban-rural interface fuel management bands, defined by Portuguese legislation as areas where the existing biomass must be totally or partially removed. The model developed uses a time series of Sentinel 2 satellite images to search for changes in the vegetation cover in a 100 m buffer around built-up areas. The use of satellite data allows analysing large areas and speeds up the task of identifying the places where fuel management took place and the places where there is a need to carry out such management. The objective of the proposed method is to give a script in Python language that can verify the cleanliness of vegetation in the fuel management ranges through multi-temporal analysis of satellite images. • The paper presents a step-by-step procedure for a Sentinel 2 time series vegetation index analysis. • Automated routine to detection of spatiotemporal vegetation changes based on statistical parameters. • Used Python language to do geoprocessing analysis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarbosa, B., Rocha, J., Costa, H., & Caetano, M. (2022). Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX, 9, 101643. https://doi.org/10.1016/j.mex.2022.101643pt_PT
dc.identifier.doi10.1016/j.mex.2022.101643pt_PT
dc.identifier.issn2215-0161
dc.identifier.urihttp://hdl.handle.net/10451/52022
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2215016122000280?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectSentinel 2pt_PT
dc.subjectTime Seriespt_PT
dc.subjectVegetation indexpt_PT
dc.subjectVegetation changept_PT
dc.subjectPythonpt_PT
dc.titleAutomatic detection of vegetation cover changes in urban-rural interface areaspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage101643pt_PT
oaire.citation.titleMethodsXpt_PT
oaire.citation.volume9pt_PT
person.familyNameMisson Mori Barbosa
person.familyNameRocha
person.givenNameBruno
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-id9A1C-2FED-3296
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0001-6298-041X
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id57469760900
person.identifier.scopus-author-id56428061000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1ca1dadd-02ef-4e7b-9214-90ce4b71c2c6
relation.isAuthorOfPublication9c7dabc1-d6c6-4636-9293-6babe2ba64c9
relation.isAuthorOfPublication.latestForDiscovery9c7dabc1-d6c6-4636-9293-6babe2ba64c9

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