CarbonTrace
Data is the biggest challenge when it comes to connecting farmers with carbon markets. SourceTrace brings experience of nearly a decade in building solutions to meet the data gap in agriculture to carbon farming.
Our solution, CarbonTrace, helps organisations solve the data challenge in carbon farming. CarbonTrace has the unique distinction of being useful for large farms as well as small farm holdings. By aggregating small farmers, our goal is to include them in the sustainability network and passing the benefits of carbon sequestration down to the smallest contributors.
Bring all stakeholders on one platform
Bring all stakeholders on one platform
Farmers, inspectors, traders, funders and more
Capture verifiable data from the ground at every stage
Combination of ground and satellite data to leave no gaps
Transparent and auditable program management
Farmer contracts, payments, credit generation - all verifiable
Easy impact assessment to build scalable programs
Helps build scale by meeting concerns and requirements
carbonTrace meets the
data gap
Track every improvement in growth practices at the farm level:
• Fertilizer application and tillage
• Water management
• Residue management
• Cash crop and cover crop planting and harvest
• Grazing and livestock management practices
Who needs CarbonTrace
Agri-food Corporations
Looking to make carbon footprint calculation a part of your sustainability goals? We can help.
Carbon farming technology companies
If you are building a calculator but don’t have ways to verify ground data, you need us.
Sustainability funds and Governments
Need a platform to bring transparency & co-ordination in a multi-stakeholder project? That’s us.
CARBONTRACE – STAKEHOLDER MAP
Why CarbonTrace
Makes agriculture future ready
Reduces agriculture’s carbon footprint, making it competitive
Verifiable benefit transfers
Satellite based Soil Organic Carbon Storage Monitoring
SourceTrace uses data from Sentinel and Landsat satellite imagery to bring ease and accuracy into carbon storage estimations. The automated processing chain was developed to process the multi-sensor satellite imagery and derive meaningful information at farm level.
Our satellite data combined with verified data from the ground enable you to see the entire picture of conservation practice adoption, for example tillage and crop residue burning etc.
