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...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 17; p. 4362
Main Authors:	Sun, Yanyan, Zhang, Fuquan, Lin, Haifeng, Xu, Shuwen
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2022
Subjects:	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 Access:	Get full text
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