14-17 June, GMES and Africa will organize online training on the use of CGMS statistical tool for yield forecasting

This training is organized and delivered by JRC, in collaboration with the G&A - OSS - North Africa. Opportunity is given to 6 participants from other G&A consortia to attend the trainings

Updated 10/06/2021


Interested participants are requested to send CV’s to mourad.briki[at]oss.org.tn, before June 06th , 2021.

The objectives are:

  • To train National Task Leaders (especially the EO experts from national mapping centres and spaces agencies) as well as experts from the ministries of Agriculture in the area of yield forecasting.  
  • To stimulate exchange between national task leaders, end-users interested in crop production forecast, and international experts.  
  • To capitalize the experiences of national task leaders and agriculture managers.  


Training materials will be shared after the training and will be available and accessible for free on the G&A digital training platform.

CST stands for Crop growth monitoring system (CGMS) Statistical Tool. CGMS is the system developed by the MARS project of the European Commission to simulate crop growth spatially (on a regular grid) over the European Union. It is based on the WOFOST crop model which produces crop indicators (e.g. biomass) at grid and administrative unit levels for about 10 crops during the season. 

CST is the statistical module that relates crop yield indicators i.e. the output of CGMS, weather or EO variables, to yield statistics through either regression analysis or the so-called scenario analysis. The principle of regression analysis is to analyse the relationship between past indicators and yield statistics at a given time in the season to predict yield for the current crop season whereas the scenario analysis searches for past years that are similar to the current season in terms of indicators and combines their yields to make a forecast.

The countries that do not have a CGMS like system can still access weather and EO indicators as these are available at administrative unit level on several platforms (e.g. ASAP, the JRC early warning system, but also FAO GIEWS or WFP seasonal explorer).

Date and time

  • Day 1 (June 14th) :  9h30 to  11h30 (Tunis time)
  • Days 2-3 et 4 (June 15th  to 17th   ) 9h30 to  11h30 (Tunis time)


More Information

  • Concept note EN  |  FR
  • Dr Mustapha  Mimouni, Head of Remote Sensing / GIS  Unit, mustapha.mimouni[at]oss.org.tn
  • Nadia Nadia Khammari Abdelkefi, Chargée de communication, nadia.khammari[at]oss.org.tn

















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