Machine learning approaches for burned area identification using sentinel-2 in central kalimantan

Business & Economics

• Machine Learning 100%
• Support Vector Machine 92%
• Classifier 77%
• Neural Networks 65%
• Forest Fire 17%
• Remote Sensing 16%
• Disaster Management 14%
• Disaster 10%
• Testing 9%
• Imagery 8%
• Indonesia 8%

Engineering & Materials Science

• Deep neural networks 61%
• Machine learning 55%
• Classifiers 53%
• Random forests 53%
• Support vector machines 50%
• Fires 31%
• Disasters 23%
• Remote sensing 13%
• Satellites 9%
• Testing 6%

Social Sciences

• neural network 75%
• learning 25%
• disaster 21%
• event 14%
• Indonesia 10%
• management 6%
• time 4%