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Yield Prediction and Estimation from Earth Observation (YIPEEO)

[Translate to English:] YIPEEO project logo

Crop yield forecasting is a vital tool to support stakeholders and decision-makers in preparing for potential yield deficiencies. Most crop yield forecasts so far have been implemented on a regional to national scale. Field-scale forecasts can add vital information for farmers and insurers but still have much potential to improve. Especially the increasing availability of high-resolution climate data from sources such as Copernicus Sentinel-1, Sentinel-2, Sentinel-3 data, and Proba-V can significantly improve such forecasts.  

The goal of the YIPEEO project is to improve field-scale crop yield forecasts by using these datasets in combination with novel machine-learning techniques or crop growth models. For this purpose, we are working with various field datasets distributed over Europe (Ukraine, Finland, Netherlands, Denmark, Italy, and several in central Europe). In addition, we will explore the impact of droughts on crop yields, assess the impact of the war on Ukraine’s crop production, and develop an irrigation timing and fertilizer advisory tool. 

[Translate to English:] Schematic overview o the YIPEEO project


European Space Agency, opens an external URL in a new window

Project duration

March 2023 – February 2025 


Field-scale crop yield forecasting using Earth Observation, airborne, and in-situ data and different machine learning and crop growth models 
Detailed error analysis and accuracy estimation of developed crop yield models at different test sites 
Assess the value of irrigation for enhancing crop production and mitigating yield losses 
Impact of the war in Ukraine on crop production and yields is assessed, by quantifying natural variability of yield in Ukraine at NUTS3 level and deviations from that per region. 


CzechGlobe, opens an external URL in a new window, Czech Republic 
EODC, opens an external URL in a new window, Austria 

CLIMERS members involved

Wouter Dorigo, opens an external URL in a new window
Emanuel Büechi, opens an external URL in a new window
Luca Zappa , opens an external URL in a new window

Project URL, opens an external URL in a new window