Pilot 6.4 | ReSAgri - Resilient & Sustainable ecosystems including Agriculture & food

Pilot 6.4 | ReSAgri - Resilient & Sustainable ecosystems including Agriculture & food

Natural hazards such as droughts, flash floods, and natural and man-induced disasters e.g. forest fires, and floods, are affecting and have a dominant role in natural ecosystems and agriculture, and hence food, resiliency and sustainability. This pilot is being composed by 3 main pillars: i) Gathering and processing of raw EO and meteo data , leveraging on DIAS back-office cloud services and integrating with multiple other data sources (in-situ, crowd, modelled); ii) Risk disaster modelling derived by NOA (risk assessment on various phenomena fires, droughts, seismic, landslides, floods), meteo modelling, flash flooding targeting on timely and accurate information (e.g. warning, alerting), and timely delivery to relevant stakeholders (e.g. farmers, agriculture cooperatives); & iii) Crop type and natural ecosystems mapping leveraging on EO research capacities (TRL 5) relying on machine learning methods in the agriculture domain (e.g. vegetation indices, crop identification etc.), fused with meteo data and coupled with disaster assessments and forecasts , aiming to provide vital thematic information to support the involved user communities (e.g. agriculture agencies, farmers, farming cooperatives) and decision making for the benefit of the agriculture sector and food security. This pilot would integrate an advanced hazard forecasting system to explore the links between heatwaves, wildfires, and floods in synergy with the other pilots of the disaster showcase concerning the development of an innovative meteo modelling solution in higher grid resolution and with EO based assimilation process.

/ Objectives
  • Assist the ecosystem resilience and food production process,
  • Economic value both from contributing to optimal food production and to new businesses (e.g. agriculture insurance business),
  • Generate beyond the state-of-the-art algorithms, models and downstream products in Earth System Science,
  • Strengthen EO capacity and contribute to Copernicus user uptake through agriculture cooperatives and farmers,
  • Contribute to ecosystem protection and food security challenge.
/ Partners


/ Key Users

Interamerican SA, GR Association of farmers GAIA EPICHEIREIN, GRNET

/ Key Datasets

Earth Observation datasets: raw Sentinel data (S1-S2-S3), EO derived parameters/indices (e.g. NDVI, PSRI, SAVI, fAPAR, LAI, fCover, NBR – Normalized Burn Ratio, Relative growth rate – RGR,Crop Water Stress Index etc.)

In-situ datasets such as: Atmospheric and soil measurements (soil temperature, humidity (multi-depth), ambient temperature, relative humidity, barometric pressure, solar radiation, leaf wetness, rainfall volume, wind speed and direction) recorder in continuous mode by the in-situ network of the co-designed GAIA EPICHEIRIN encompassing of the Northern Greece of 8 monitoring stations .

Meteo datasets/Services: Standard and Open Meteo data and services (e.g. precipitation, forecasts).

/ ID Card
Expected outcome of the pilot

The final product will be a combination of historical risk mapping over a region (Rodopi) and crop type (cotton), a quick Damage Assessment tool and an Early Warning platform based on a high resolution Numerical Weather Prediction model.

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