A deep learning approach to identify smoke plumes in satellite imagery in near-real time for health risk communication

Keyphrases

• Air Quality 33%
• Australia 33%
• Automated Method 33%
• Bushfire 33%
• Convolutional Neural Network Algorithm 33%
• Deep Learning Methods 100%
• Environmental Agency 33%
• Exposure Assessment Method 33%
• Exposure to Fire 33%
• Fire Smoke 100%
• Fully Convolutional Neural Network 100%
• General Public 33%
• Geographic Region 33%
• Health Agency 33%
• Health Risk 33%
• Health Risk Communication 100%
• High Classification Accuracy 33%
• High-resolution 33%
• Identification Method 33%
• Intersection over Union 33%
• Pollution 33%
• Premature Death 33%
• Processing Information 33%
• Risk Factors 33%
• Satellite Imagery 100%
• Satellite Sensors 33%
• Smoke Plume 100%
• Spectral Image 33%
• Surface Features 33%
• Time Information 33%
• Training Data 33%
• Wildfire 33%
• Wildland Fire 100%

Earth and Planetary Sciences

• Air Quality 14%
• Artificial Neural Network 14%
• Australia 14%
• Exposure Assessment 14%
• Identification Method 14%
• Information Processing 14%
• Real Time 100%
• Satellite Imagery 100%
• Smoke 100%
• Spectral Resolution 14%

Agricultural and Biological Sciences

• Air Quality 33%
• Deep Learning Method 100%
• Exposure Assessment 33%
• Neural Network 100%
• Risk Factor 33%