Practical Application of Deeply Geotemporal Data
Scientific applications often deal with deeply geotemporal data. These can include distributed sensor data streams, or high-repeat frequency satellite data. In this practical session, we review how to work with LIDAR, Sentinel-2 imagery, weather data and species telemetry data. Applications include climate change planning, continuous monitoring of fire and flood risk, and biodiversity analysis.