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dc.creatorNovkovic, Ivan
dc.creatorMarkovic, Goran B.
dc.creatorLukic, Djordje B.
dc.creatorDragicevic, Slavoljub S.
dc.creatorMilosevic, Marko
dc.creatorDjurdjic, Snezana
dc.creatorSamardzic, Ivan
dc.creatorLezaic, Tijana
dc.creatorTadic, Marija
dc.date.accessioned2021-10-21T12:33:21Z
dc.date.available2021-10-21T12:33:21Z
dc.date.issued2021
dc.identifier.issn1424-8220
dc.identifier.urihttps://gery.gef.bg.ac.rs/handle/123456789/1110
dc.description.abstractThe territory of the Republic of Serbia is vulnerable to various natural disasters, among which forest fires stand out. In relation with climate changes, the number of forest fires in Serbia has been increasing from year to year. Protected natural areas are especially endangered by wildfires. For Nature Park Golija, as the second largest in Serbia, with an area of 75,183 ha, and with MaB Reserve Golija-Studenica on part of its territory (53,804 ha), more attention should be paid in terms of forest fire mitigation. GIS and multi-criteria decision analysis are indispensable when it comes to spatial analysis for the purpose of natural disaster risk management. Index-based and fuzzy AHP methods were used, together with TOPSIS method for forest fire susceptibility zonation. Very high and high forest fire susceptibility zone were recorded on 26.85% (Forest Fire Susceptibility Index) and 25.75% (fuzzy AHP). The additional support for forest fire prevention is realized through an additional Internet of Thing (IoT)-based sensor network that enables the continuous collection of local meteorological and environmental data, which enables low-cost and reliable real-time fire risk assessment and detection and the improved long-term and short-term forest fire susceptibility assessment. Obtained results can be applied for adequate forest fire risk management, improvement of the monitoring, and early warning systems in the Republic of Serbia, but are also important for relevant authorities at national, regional, and local level, which will be able to coordinate and intervene in a case of emergency events.
dc.languageen
dc.publisherMDPI
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceSensors
dc.subjectfire outbreak occurrence
dc.subjectforest fire susceptibility
dc.subjectfuzzy analytic hierarchy process (fuzzy AHP)
dc.subjectGIS
dc.subjectIoT sensor networks
dc.subjectrandom forest (RF)
dc.subjectremote sensing
dc.subjecttechnique for order of preference by similarity to ideal solution (TOPSIS)
dc.titleGIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia
dc.typearticleen
dc.rights.licenseBY
dcterms.abstractТадић, Марија; Марковић, Горан Б.; Лукић, Ђорђе; Милошевић, Марко; Лежаић, Тијана; Новковић, Иван; Драгићевић, Славољуб; Ђурђић, Снежана; Самарджић, Иван;
dc.citation.volume21
dc.citation.issue19
dc.citation.spage6520
dc.citation.rankM21
dc.identifier.wos000729173500001
dc.identifier.doi10.3390/s21196520
dc.identifier.scopus2-s2.0-85115919274
dc.identifier.fulltexthttps://gery.gef.bg.ac.rs/bitstream/id/2745/sensors-21-06520.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_gery_1110
dc.type.versionpublishedVersion


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