The Carbon Credit Clearinghouse
RegenStar® is an agricultural carbon credit clearinghouse that helps avoid multiple inadvertent enrollment of carbon credits through a spatial API and map based interface. RegenStar® makes it simple for carbon market providers, banks, insurance companies, and other institutions to track carbon credits by field to ensure that credits unique and valid.
The Problem
No centralized service exists to track enrolled land and avoid the double enrollment of environmental attributes.
The Solution
RegenStar provides an API and map-based interface to digitize existing enrolled land and easily check if a given location has double enrollment.
Secure, Functional Data Sharing
RegenStar shares only enough data with other carbon creditors to determine whether a field overlaps with existing credits. Field boundaries are never shared between parties.
API
Developer API
The developer API provides programmatic utility for easy integration into existing workflows. Use the API to submit new carbon credit programs and spot check fields to avoid double enrollment.
The Basics: A Global Geospatial Carbon Credit Bureau
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Spatial data for fields with agricultural carbon credits can be saved to the RegenStar database
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RegenStar uses geospatial queries to determine if a given field overlaps with any agricultural carbon credits saved to the database
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Spot check any location by drawing on the map or by passing an area of interest to the developer API
Digitize Your Carbon Credit Porfolio
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Draw directly on the map or select pre-loaded common land unit boundaries
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Save data and information on carbon credits directly to field boundaries
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Control individual user permissions and designate super users who have access to admin settings
Check Which Fields are Associated with Carbon Credits
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View any saved reports overlapping with a selected or drawn field boundary
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Check which environmental practices are associated with a field's carbon credit programs
Generate Reports of Overlapping Credits
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View all overlapping reports and compare data
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Generate a PDF report for a field or location consisting of overlapping fields associated with carbon credit programs
Endless Data Possibilities
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Spatial data from saved reports can be easily linked to any other spatial dataset, including the Ag-Analytics suite of APIs. This includes:
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USDA Cropland Data Layer (included in Alpha)
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USGS SSURGO Soil Survey Data
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USGS Digital Elevation Model Data
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Landsat-Sentinel Satellite Imagery
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AI Models predicting environmental practices
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Ag-Analytics on-demand services, including soil testing and drone imagery, can be used to obtain supplementary data for ground-truthing and practice verification
Slope data shown in Ag-Analytics DataLayers
Clearinghouse
Ensure that agricultural carbon credits are unique and valid
