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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Remote sensing (Basel, Switzerland) Ročník 14; číslo 17; s. 4362
Hlavní autori:	Sun, Yanyan, Zhang, Fuquan, Lin, Haifeng, Xu, Shuwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2022
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!