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The nextSENSE service was implemented in the framework of the EuroGEO e-shape’s renewable energy showcase (nextSENSE pilot) and provides continuous monitoring and short-term forecasting of solar energy in real-time for Europe and North Africa. It is based on Earth Observation data (EUMETSAT’s SAF NWC, Copernicus CAMS), fast radiative transfer models (AMT, 2018), motion flow modeling techniques and high performance computing, enabling almost 50 million simulations in less than 5 minute and an overall dataflow of more than 550 Gb/day.

The user through the nextSENSE’s fully dynamical interface will be able to navigate, zoom and click at any pixel of the 1.5 million matrix retrieving solar energy potential information for 3 hours ahead and 3 hours back time horizons at 15-min intervals.

Contact persons: Panagiotis Kosmopoulos and Stelios Kazadzis


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The development of precision farming services over formerly data-poor regions can become feasible through an efficient fusion of earth observational (EO), numerical weather prediction (NWP) and in-situ observations. Under the framework of S6P4-ResAGRI, a web platform has been developed from scratch that provides:

  1. support to the underwriters of the agro-insurance sector, through an adverse selection tool that denotes the historical risk/vulnerability/hazard over each individual parcel, based on ECMWF reanalysis datasets, CHIRPS precipitation estimates from rain gauge and satellite observations, as well as a 10-yr record of damages in cotton crop over Rodopi region, provided by Greek Agricultural Insurance Organization (ELGA).
  2. rapid payout promotion through a quick damage assessment tool that exploits high-resolution Sentinel 2 imagery and cross-validates the data with a sufficiently dense network of smart agro-meteorological stations
  3. a high-level monitoring of the expected insurance claims over a specific region in near future, and
  4. an early warning system built around an operational high-resolution (2 x 2-km) configuration of WRF-ARW model over Greece.

The service has initially focused over Rodopi region and cotton crop, to demonstrate the potential and full functionality and is currently under expansion to include additional regions (Thessaly, Boeotia) and crop types (industrial tomato and more).

Contact persons:

Nikolaos S. Bartsotas and Charalambos (Haris) Kontoes


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Harvesting machines weigh about 20 tons and require good bearing capacity of the terrain to avoid the machines from getting stuck. Only sufficient soil conditions prevent damaging the topsoil of the forest floor and negatively impacting the biosphere. Up to 80% Finish forest land have been classified by Finnish Forest center (Metsäkeskus) based on airborne laser scanning data. Such information can be used in assessing sufficient conditions for forest trafficability. Six classes are available, where some require dry summer and some winter conditions for harvesting to occur.

The new Harvester Seasons -service by Finish Meteorological Institute (FMI) extends this classification by helping to estimate for up to several months ahead if and when good trafficability conditions occur. While for summer dry conditions are best suitable, in winter adequate frost and snow conditions are required.

More info available here

Contact persons: Mikko Strahlendorff and Asko Poikela