A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm

A forest fire susceptibility map generated with the fire susceptibility model is the basis of fire prevention resource allocation. A more reliable susceptibility map helps improve the effectiveness of resource allocation. Thus, further improving the prediction accuracy is always the goal of fire sus...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 14; H. 17; S. 4362
Hauptverfasser:	Sun, Yanyan, Zhang, Fuquan, Lin, Haifeng, Xu, Shuwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2022
Schlagworte:	Algorithms Altitude case studies China Comparative analysis Correlation analysis Datasets fire factors Fire prevention fire susceptibility map Forest & brush fires Forest fires Heat humans Humidity Machine learning Model accuracy Modelling National forests Performance evaluation prediction regression analysis Resource allocation Susceptibility temperature Topography Vegetation China
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!