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Using drones to estimate and reduce the risk of wildfire propagation in wildland–urban interfaces

datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorSantos, Osvaldo
dc.contributor.authorSantos, Natércia
dc.date.accessioned2025-05-29T11:58:27Z
dc.date.available2025-05-29T11:58:27Z
dc.date.issued2025-04-30en_US
dc.date.updated2025-05-28T14:31:02Z
dc.description.abstractForest fires have become one of the most destructive natural disasters worldwide, causing catastrophic losses, sometimes with the loss of lives. Therefore, some countries have created legislation to enforce mandatory fuel management within buffer zones in the vicinity of buildings and roads. The purpose of this study is to investigate whether inexpensive off-the-shelf drones equipped with standard RGB cameras could be used to detect the excess of trees and vegetation within those buffer zones. The methodology used in this study was the development and evaluation of a complete system, which uses AI to detect the contours of buildings and the services provided by the CHAMELEON bundles to detect trees and vegetation within buffer zones. The developed AI model is effective at detecting the building contours, with a mAP50 of 0.888. The article analyses the results obtained from two use cases: a road surrounded by dense forest and an isolated building with dense vegetation nearby. The main conclusion of this study is that off-the-shelf drones equipped with standard RGB cameras can be effective at detecting non-compliant vegetation and trees within buffer zones. This can be used to manage biomass within buffer zones, thus helping to reduce the risk of wildfire propagation in wildland–urban interfaces.eng
dc.description.sponsorshipThis research has indirectly received funding from the European Union’s Horizon Europe research and innovation action programme, via the CHAMELEON Open Call #2 issued and executed by Axtron Systems under the CHAMELEON project (Grant Agreement no. 101060529).
dc.description.versionN/A
dc.identifier.citationSANTOS, O. ; SANTOS, N. (2025) - Using drones to estimate and reduce the risk of wildfire propagation in wildland–urban interfaces. Appl. Syst. Innov. 8:62. DOI: 10.3390/asi8030062
dc.identifier.doi10.3390/asi8030062en_US
dc.identifier.slugcv-prod-4491631
dc.identifier.urihttp://hdl.handle.net/10400.11/10165
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDrones
dc.subjectUAV
dc.subjectWildfire
dc.subjectForest fire
dc.subjectCHAMELEON
dc.subjectFire prevention
dc.subjectFire risk
dc.subjectBuffer zones
dc.subjectWildland–urban interface
dc.titleUsing drones to estimate and reduce the risk of wildfire propagation in wildland–urban interfacesen_US
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.citation.titleApplied System Innovationen_US
person.familyNameSantos
person.givenNameOsvaldo
person.identifier.ciencia-id121D-8892-F723
person.identifier.orcid0000-0003-0341-2839
rcaap.cv.cienciaid121D-8892-F723 | Osvaldo Arede dos Santos
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublicationa7e25eb4-9ac1-4fcb-b64c-f67555a1397a
relation.isAuthorOfPublication.latestForDiscoverya7e25eb4-9ac1-4fcb-b64c-f67555a1397a

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