Monitoring of Fires Caused by War in Ukraine Based on Satellite Data
dc.contributor.author | Yailymov, Bohdan | |
dc.contributor.author | Yailymova, Hanna | |
dc.contributor.author | Shelestov, Andrii | |
dc.contributor.author | Shumilo, Leonid | |
dc.date.accessioned | 2024-02-23T12:24:24Z | |
dc.date.available | 2024-02-23T12:24:24Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The focus of this paper is on fire monitoring studies which utilize a variety of satellite data. The study examines various data sources that are used to automatically detect fires at a national level in Ukraine. Existing fire monitoring systems have low spatial resolution, which makes it difficult to detect fires. Therefore, the authors propose an approach that uses both low- and high-resolution satellite data for fire monitoring. The study found that MODIS, Landsat-8,9 and Sentinel-2 satellite data provide reliable information for fire monitoring in Ukraine. These data sources offer a variety of benefits, including high spatial resolution, frequent revisit times, and wide spectral coverage. In order to understand how favourable weather conditions are for the occurrence of fire, the authors used the Fire Potential Index (FPI). The methodology developed in this study provides a promising approach to monitoring fires and understanding the causes of fires, particularly those caused by the war in Ukraine. The authors implemented the fire detection methodology and FPI index assessment in the Google Earth Engine cloud platform, which allowed for efficient processing and analysis of large volumes of data. In conclusion, the paper highlights the importance of using a combination of low- and high-resolution satellite data for fire monitoring. | |
dc.description.sponsorship | HORIZON 713 Europe project SWIFTT No. 101082732 “Satellites for Wilderness Inspection and Forest Threat Tracking”, projects of the Ministry of Education and Science of Ukraine “Information technologies of geospatial analysis of the development of rural areas and communities”, and "Methodology for the development of information technologies based on satellite data and significant variables", the NRF of Ukraine project No. 2020.02/0284 «Geospatial models and information technologies of satellite monitoring of smart city problems». | |
dc.format.pagerange | P. 1-5 | |
dc.identifier.citation | Monitoring of Fires Caused by War in Ukraine Based on Satellite Data / B. Yailymov, H. Yailymova, A. Shelestov, L. Shumilo // The 13th IEEE International Conference on Dependable Systems, Services and Technologies, DESSERT’2023, [Athens], 13-15 October, 2023. - Athens, 2023. - P. 1-5. | |
dc.identifier.doi | https://doi.org/10.1109/DESSERT61349.2023.10416520 | |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/64920 | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.publisher.place | Athens | |
dc.relation.ispartof | The 13th IEEE International Conference on Dependable Systems, Services and Technologies, DESSERT’2023, 13-15 October, 2023, Athens, Greece | |
dc.subject | burnt area | |
dc.subject | Sentinel-2 | |
dc.subject | Landsat-9 | |
dc.subject | FIRMS | |
dc.subject | Land Surface Temperature | |
dc.subject | Fire Potential Index | |
dc.title | Monitoring of Fires Caused by War in Ukraine Based on Satellite Data | |
dc.type | Article |
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