“Carbon Organic Resilient Ethereal – CORE” is an ESA kick-Start funded project and it has officially started on October the 7th, 2022. 

During the Kick-off meeting, the ESA and UptoEarth representatives, had the chance to discuss about the main structure of the Kick-Start program, with its goals, the required documentation and set deadlines. Moreover, different typologies of projects funded by ESA were introduced, to start planning future steps for the project sustainability, after its lifetime. 

C.O.R.E. main purpose is to create a SCENARIO (Soil Carbon protEctioN And RestoratIOn) Index mapping the global soil carbon potential and able to simulate future scenarios describing the real value of agricultural land.

Based on the algorithms developed in recent years and on the FARMBOX Simulator, an innovative and accurate methodology using satellite data to define the true four-year carbon value of agricultural land, will be developed and applied.

Basically, the entire C.O.R.E. project will map a range of information in agricultural production on local and global trends. In contrast to traditional monitoring maps, C.O.R.E. mapping methodology for carbon projects in agricultural areas considers three key data:  

  • the “HIDDEN” Soil Organic Carbon represents the past of the soil;   
  • the Organic Carbon represents the present, which is defined as occurring between 5 years before and 5 years after the project’s beginning;   
  • the Resilient Carbon represents the carbon simulated in the future, from 5 years after the beginning of the project.  

The SCENARIO index clarifies, identifies and evaluates the property and value of soil carbon in agricultural land through a scale of values ranging from 0 to 100, where soils with intermediate values have good carbon base and strong growth potential, and represent therefore a good opportunity for the carbon market. The index will be used by companies working in food processing, crop protection, seed production and agricultural equipment, as well as carbon platforms, trading companies, financial institutions and researchers.

Through the continuous improvement of our proprietary machine learning algorithms since 2018, we create cutting-edge datasets that help companies make more accurate data-driven decisions.

By providing customers with a single figure to estimate the amount of total soil organic carbon that has been lost, it allows both a possible present estimate of carbon and a potential carbon gain for the future. This method offers a timeline-based perspective of the soil while analysing the present, past, and future.

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