Our MRV technology
Guaranteeing Longevity and Clarity in Eco-Projects: Our Advanced MRV SaaS for Monitoring, Reporting, and Verification
Championing Nature-Based Solutions in Forestry and Agriculture Practices
At DT Master Carbon, we are dedicated to utilizing nature for environmental sustainability.
Join us in fostering a greener future through responsible land use and agricultural practices:
Innovating for a Sustainable Future by Embracing Advanced Environmental Technologies
At DT Master Carbon, we're at the forefront of sustainable solutions for pressing environmental challenges.
Join us in our sustainable journey for a healthier planet:
Our Nature-Based Solutions (NBS) MRV
COMPARSION WITH BASELINES
MONITOR THE FOREST DEVELOPMENTS
CALCULATE AND REPORT
GATHER SATELLITE IMAGES
Source satellite images from leading suppliers on a weekly or monthly basis to have real-time images without directly going on the ground
Use images from the surrounding land or existing projects in the region of interest to calculate the baseline and the expected CO2e at a certain point of time of the project
Use satellite data combined with Machine Learning algorithms to calculate metrics (tree height, tree width, number of trees, tree health)
Calculate relevant indicators, such as the Normalized Difference Vegetation Index (NDVI) and tree health indicators
Calculate the CO2 sequestered thanks to the implemented project to generate the report. This report can be interesting for all the parties involved in the project
Nature-Based Credits MRV Interface: Navigation and Remote Control
The MRV interface, tailored for nature-based credits management, allows users to verify and manage environmental data via a portable terminal. It also features an intuitive navigation system for precise site location guidance. This combination of remote control and navigation enhances the accuracy and efficiency in managing nature-based credits, improving monitoring and operational capabilities.
Nature-Based Credits: Image Recognition for Forestry and Farm Detection
Utilizing advanced image recognition, this system continuously monitors forestry and agricultural areas. It analyzes remote sensing images, detecting landscape changes, and promptly alerts users about any significant alterations. This vigilant monitoring supports effective management of nature-based credits, fostering sustainable environmental stewardship.