Multi-scale monitoring to assess agricultural production

To feed the growing world population, food production must increase by an expected 70 percent. To minimize the human impact on the Earth’s natural resources and avoid land use triggered conflicts, the focus should be on increasing productivity in a sustainable manner. Satellite Earth Observation (EO) is a powerful technique for continuously assessing the status of agricultural production on a wide range of spatial and temporal scales. It provides historical to current global data on cultivated areas (crop, type, acreage, irrigation supply and other basic crop parameters) and can rapidly reveal where change has happened in a consistent and repeatable manner. 

Agriculture production mapping and monitoring service

Satellite Earth Observation (EO) has tremendous potential to assess the status of agricultural production on a wide range of spatial and temporal scales. It provides historical to current global data and can rapidly reveal where change has happened in a consistent and repeatable manner.

Information from Earth Observation is therefore very well suited to timely information on cropland distribution and status at various scales.

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Crop yield prognosis

Near real time yield prognosis statistical information is used as a tool that helps to optimise production by providing quantified information of the in-season crop development. Information on expected crop yields during a growing season is of great importance to the public and private sector.

In the public sector there is a need to know the status of crop production at the regional scale in order to assess the food security and to update their crop statistical systems. Within the private sector, different players in the agricultural value chain are interested in yield prognosis. For farmers yield prognosis is of interest to estimate income. Food producers can streamline their logistical planning based on yield estimates and commodity traders need yield information as the basis for future buy-and-sell contracts. Yield prognosis models are available for the major crop types.

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