WP5 Digital data integration (PI Alexander Knohl)

Objective: Digital Forest will create unique and complementary datasets covering sensor derived time series, 3D point clouds from laser scanning as well as satellite-based data cubes of various spatial, temporal and spectral resolution. A key innovation of Digital Forest will be the integration of these data in a near real-time forest monitoring system, cloud based data storage, and to forecast CO2 and H2O fluxes on short time scale and to develop a drought impact early warning system. 

Approach: Time series data from the sensors (WP1 and 2) in the forest will be automatically uploaded in near-real-time at the university computing centre, enter automatically a time series database (InfluxDB, https://www.influxdata.com), and be visualized by the graphical interface Grafana (https://grafana.com). All data (time series from WP1 and 2, laser scanning from WP3 and remote sensing from WP4) will then be prepared and stored as cloud ready formats (i.e. zarr), such that they can be also used for visual inspections by all project partners. All data will be open access and we adhere to the FAIR principles of being findable, accessible, interoperable, and reproducible.