Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine

Author:

Yailymov Bohdan1ORCID,Shelestov Andrii12,Yailymova Hanna12ORCID,Shumilo Leonid3

Affiliation:

1. Department of Space Information Technologies and Systems, Space Research Institute NAS Ukraine & SSA Ukraine, 03187 Kyiv, Ukraine

2. Department of Mathematical Modelling and Data Analysis, National Technical University of Ukraine ‘Igor Sikorsky Kyiv Polytechnic Institute’, 03056 Kyiv, Ukraine

3. Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA

Abstract

Wildfires cause extensive damage, but their rapid detection and cause assessment remains challenging. Existing methods utilize satellite data to map burned areas and meteorological data to model fire risk, but there are no information technologies to determine fire causes. It is crucially important in Ukraine to assess the losses caused by the military actions. This study proposes an integrated methodology and a novel framework integrating burned area mapping from Sentinel-2 data and fire risk modeling using the Fire Potential Index (FPI) in Google Earth Engine. The methodology enables efficient national-scale burned area detection and automated identification of anthropogenic fires in regions with low fire risk. Implemented over Ukraine, 104.229 ha were mapped as burned during July 2022, with fires inconsistently corresponding to high FPI risk, indicating predominantly anthropogenic causes.

Funder

Horizon 2020 EuroGEO Showcases: Application Powered by Europe (e-shape) project

project of the Ministry of Education and Science of Ukraine “Information technologies of geospatial analysis of the development of rural areas and communities”

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Safety Research,Environmental Science (miscellaneous),Safety, Risk, Reliability and Quality,Building and Construction,Forestry

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