Application of a tuning-free burned area detection algorithm to the Chornobyl wildfires in 2022.

ABSTRACT: The wildfires in the Chornobyl Exclusion Zone (ChEZ) have caused widespread public concern about the potential risk of radiation exposure from radionuclides resuspended and redistributed due to the fires in 2020. The wildfires were also confirmed in ChEZ in the spring of 2022, and its impact needed to be estimated accurately and rapidly. In this study, we developed a tuning-free burned area detection algorithm (TuFda) to perform rapid detection of burned areas for the purpose of immediate post-fire assessment. We applied TuFda to detect burned areas in the ChEZ during the spring of 2022. The size of the burned areas in February and March was estimated as 0.4 km² and 70 km², respectively. We also applied the algorithm to other areas outside the boundaries of the ChEZ a

SUBMITTER: Hu J 

PROVIDER: S-EPMC10066350 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature