Bill & Melinda Gates Foundation
Problem: Mosquito breeding grounds are difficult and costly to identify
Solution: Forests are a suitable habitat for malaria vectors in tropical regions. Monitoring these habitats using machine learning using Synthetic Aperture Radar (SAR) measurements from Sentinel-1 satellite, Radiant Earth Foundation developed a data pipeline to process Sentinel-1 imagery at scale developed (a) random forest and (2) convoluted neural network models architecture and training data generation.
Status: In Progress
Next Steps: Improve U-Net training with more samples, and optimize U-Net architecture and training parameters based on the results from new samples.