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.
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