Peatland Data Fusion for Forest Fire Susceptibility Prediction Using Machine Learning

Keyphrases

• Machine Learning 100%
• Forest Fire 100%
• Peatland 100%
• Susceptibility Prediction 100%
• Forest Fire Risk 100%
• Peat 66%
• Random Forest 66%
• Support Vector Classification 66%
• Indonesia 33%
• Regency 33%
• Road Network 33%
• Area under the Curve 33%
• Classification Model 33%
• Experiment Results 33%
• Machine Learning Models 33%
• Disaster Management 33%
• Road Distance 33%
• Central Kalimantan 33%
• Dry Season 33%
• Pulang 33%
• Normalized Difference Vegetation Index 33%
• Hydrometeorological Hazards 33%
• Gradient Boosting 33%
• Forest Fire Disaster 33%
• El Niño Events 33%
• Index Rainfall 33%
• Boosting Classification 33%
• Fire-affected Areas 33%
• Fire Risk Map 33%
• Peat Depth 33%
• Gradient Vector 33%
• MODIS Data 33%

Agricultural and Biological Sciences

• Peatlands 100%
• Forest Fire 100%
• Support Vector Machine 28%
• Dry Season 14%
• El Nino 14%
• Normalized Difference Vegetation Index 14%