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

Keyphrases

• Machine Learning Approach 100%
• Central Kalimantan 100%
• Sentinel-2 100%
• Area Identification 100%
• Balanced Dataset 100%
• Burned Area 100%
• Support Vector Machine 80%
• Imbalanced Data 80%
• Random Forest 60%
• Deep Neural Network Classifier 60%
• Fire Events 40%
• Deep Neural Network 40%
• Indonesia 20%
• Random Forest Classifier 20%
• Kalimantan 20%
• Disaster Management 20%
• Forest Fire 20%
• Precision-recall 20%
• Support Vector Machine Classifier 20%
• Sumatera 20%
• Wildfire 20%
• Hyperparameters 20%
• Sentinel-2 Images 20%
• Promising Technology 20%
• Supervised Machine Learning 20%
• Management Response 20%
• Recall Value 20%
• Prefire 20%
• MODIS NPP 20%
• Optical Remote Sensing Satellite 20%
• Precision Parameters 20%
• Precision Accuracy 20%
• Visible Infrared Imaging Radiometer Suite (VIIRS) 20%
• Hotspot Data 20%

Computer Science

• Machine Learning Approach 100%
• Support Vector Machine 100%
• Deep Neural Network 100%
• Random Decision Forest 60%
• Random Forest Classifier 20%
• Management Response 20%
• Machine Learning 20%
• Learning System 20%

Earth and Planetary Sciences

• Sentinel-2 100%
• Machine Learning 100%
• Support Vector Machine 100%
• Indonesia 20%
• Disaster Management 20%
• MODIS 20%
• Optical Remote Sensing 20%