Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach
Tongshu Zheng, Michael Bergin, Shijia Hu, Joshua Miller, David Carlson
Topics & Concepts
Remote sensingAerosolSatelliteImage resolutionPixelEnvironmental scienceConvolutional neural networkGround truthComputer scienceSatellite imageryRandom forestMeteorologyArtificial intelligenceGeographyEngineeringAerospace engineeringAir Quality and Health ImpactsAir Quality Monitoring and ForecastingCOVID-19 impact on air quality