Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms

Landslide is the most dangerous natural hazard in mountainous regions. Disasters due to landslides annually result in human casualties, destroyed property, and monetary damages. Landslide susceptibility maps, highlighting landslide-prone areas, can provide useful spatial information for risk managem...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environment, development and sustainability Jg. 27; H. 8; S. 18409 - 18443
Hauptverfasser:	Ha, Hang, Bui, Quynh Duy, Tran, Dinh Trong, Nguyen, Dinh Quoc, Bui, Hanh Xuan, Luu, Chinh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.08.2025
Schlagworte:	disaster preparedness Earth and Environmental Science Ecology Economic Geology Economic Growth Environment Environmental Economics Environmental Management humans landslides mountains risk management spatial data Sustainable Development Vietnam Vietnam Vietnam Landslide susceptibility Gradient boosting models Bac Kan province Landslide risk management Machine learning
ISSN:	1573-2975, 1573-2975
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!