What is DMRV?

dMRV, or digital Measurement, Reporting, and Verification, is a systematic approach used to accurately measure climate change mitigation efforts. It involves the direct collection of data from various emission sources, ensuring high accuracy and reliability. This data is then verified to ensure its credibility.

The purpose of dMRV is to provide transparency and accountability of climate change mitigation efforts, which is essential for tracking progress toward emission reduction targets. 
This is critical for accurately assessing environmental impacts and implementing effective climate change mitigation strategies. By adopting dMRV practices, organizations can improve their sustainability reporting and contribute to the global effort to reduce carbon emissions.

From Carbon Projects to Carbon Credits

Exploring Use Cases
Validating Carbon Emissions Data


Blue Credits

The combination of satellite imagery, soil and leaf sensors, and weather data provides accurate proof of carbon emissions and validates carbon credits. The integration of AI further enhances the algorithms used in this process.

For example, if the satellite imagery shows an increased presence of brown leaves or dead trees, the weather data can be used to confirm or discredit the information collected, ensuring the reliability of the data. 

Green Credits

By implementing an early detection system for forest fires using smart sensors, MyDataPlanet minimizes the risk and helps to quickly contain a fire, thereby saving CO2-reducing trees. 

These smart sensors continuously collect important data on temperature, humidity and smoke development and send it in real time to a central monitoring system.

Yellow Credits

By continuously monitoring the system, MyDataPlanet can quickly identify any discrepancies and determine whether or not the system is performing as promised.

The ability to detect any acceleration in the panels or other potential problems, such as dust build-up, eliminates the need for costly and time-consuming manual checks.