Predicting potential fire severity in Türkiye’s diverse forested areas: a SHAP-integrated random forest classification approach
Year: 2024
Type: article
Authors: Remzi Eker, Abdurrahim Aydın
Institutions: Izmir Kâtip Çelebi University, Düzce Üniversitesi
Language: English
Topic: Fire effects on ecosystems
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: closed
OpenAlex ID: W4402721319