Fire Danger Assessment Using Moderate-Spatial Resolution Satellite Data

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dc.contributor.authorKussul, Nataliia
dc.contributor.authorFedorov, Oleh
dc.contributor.authorYailymov, Bohdan
dc.contributor.authorPidgorodetska, Liudmyla
dc.contributor.authorKolos, Liudmyla
dc.contributor.authorYailymova, Hanna
dc.contributor.authorShelestov, Andrii
dc.date.accessioned2023-11-07T14:49:03Z
dc.date.available2023-11-07T14:49:03Z
dc.date.issued2023
dc.descriptionThis research was carried out within the framework of the project “Information technology for fire danger assessment and fire monitoring in natural ecosystems based on satellite data” within the competition of the National Research Foundation of Ukraine “Science for the safety of human and society” (2020.01/0268), the project “Deep learning methods and models for applied problems of satellite monitoring” (2020.02/0292) within the competition of the National Research Foundation of Ukraine “Support research of leading and young scientists” from the State budget, and the project and the target program of the National Academy of Sciences of Ukraine “Aerospace observation of the environment in the interests of sustainable development and security”—“Evaluation of indicators of sustainable development for monitoring natural resources based on satellite data” (ERA-PLANET/UA).uk
dc.description.abstractFire is one of the most common disturbances in natural ecosystems. The analysis of various sources of information (official and unofficial) about the fires in Ukraine (2019–2020) showed a lack of timely and reliable information. Satellite observation is of crucial importance to provide accurate, reliable, and timely information. This paper aims to modify the index of fire danger of a forest’s FWI by increasing its precision, based on the use of higher spatial resolution satellite data. A modification of the FWI method involves the utilization of the soil moisture deficit, in addition to the six subindices of the FWI system. In order to calculate the subindices values, weather data from the Copernicus Atmosphere Monitoring Service were used. Soil moisture deficit is calculated using Sentinel-1 radar satellite data on the water saturation degree of the soil surface layer and geospatial parameters from the 3D Soil Hydraulic Database of Europe. The application of the proposed methodology using the specified satellite, weather, and geospatial data makes it possible to assess fire danger on a continental scale with a spatial resolution of 250 m, 1 km, and a daily temporal resolution. Validation of the proposed method for modifying the FWI system demonstrates an improvement in the precision and relevance of fire danger prediction.uk
dc.format.pagerangeP. 72 (1-13)uk
dc.identifier.citationFire Danger Assessment Using Moderate-Spatial Resolution Satellite Data / Kussul N., Fedorov O., Yailymov B., Pidgorodetska L., Kolos L., Yailymova H., Shelestov A. // Fire. - 2023. - Vol. 6, Iss. 26. - P. 72 (1-13)uk
dc.identifier.doihttps:// doi.org/10.3390/fire6020072
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/62054
dc.language.isoenuk
dc.publisherMDPIuk
dc.relation.ispartofFire, 2023, Vol. 6, Iss. 2uk
dc.subjectimproved fire danger indexuk
dc.subjectgeospatial datauk
dc.subjectfire danger assessmentuk
dc.subjectFire Weather Indexuk
dc.subjectsatellite datauk
dc.subjectsoil moisture deficituk
dc.titleFire Danger Assessment Using Moderate-Spatial Resolution Satellite Datauk
dc.typeArticleuk

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