Fire susceptibility assessment in the Carpathians using an interpretable framework

Fire susceptibility assessment in the Carpathians using an interpretable framework

Abstract Climate change endangers the Carpathian region by increasing the risk of fires. In response, our study provides a harmonised dataset with twenty-seven variables and develops an interpretable machine learning-based framework for assessing fire susceptibility across all seven countries of the...

Full description

Saved in:
Bibliographic Details
Main Authors: Melinda Manczinger, László Kovács, Tibor Kovács
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Climate change
Carpathians
Machine learning
Fire
Interpretability
Feature selection
Online Access:https://doi.org/10.1038/s41598-025-10296-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-10296-4

Similar Items