Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia

Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia

Australia has suffered devastating wildfires recently, and is predisposed to them due to several factors, including topography, meteorology, vegetation, and ignition sources. This study utilized a geographic information system (GIS) technique to analyze and understand the factors that regulate the s...

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Bibliographic Details
Main Authors: Arip Syaripudin Nur, Yong Je Kim, Joon Ho Lee, Chang-Wook Lee
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
wildfire
Sydney
VIIR
support vector regression
susceptibility map
Online Access:https://www.mdpi.com/2072-4292/15/3/760

Internet

https://www.mdpi.com/2072-4292/15/3/760

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