Get baseline soil carbon estimates, compare sequestration potential, and uncover key soil health indicators on croplands and grazing lands — without sampling.
Quantify soil organic carbon stocks at 10m resolution without having to sample — estimate your carbon baseline in a click.
Powered by Perennial’s flagship soil carbon mapping framework, ATLAS-SOC, the SOC Basemap leverages our existing database of over 100,000 soil samples, machine learning algorithms, and both microbial- and biophysically-informed predictors from remote sensing and environmental datasets. It currently offers up to 95% accuracy at a project level and up to 80% accuracy at a field level, with no new soil samples or farmer data input required.
*For organizations that require registry-compliance, adding minimal soil sampling to Perennial’s ATLAS-SOC model can provide verified SOC measurements with 98%+ accuracy and less than 10% uncertainty. Perennial offers end-to-end compliance including stratification, sampling, baselining, and monitoring.
Evaluate and compare land by soil carbon sequestration potential, so you can identify fields where regenerative interventions will yield the highest impact and returns. No farm practice data necessary.
This data is powered by Perennial's SOCSPOT, a microbial biogeochemical model that enables you to see the relative potential for durable long-term (20+years) carbon sequestration across space, using both contemporary and historical (~30 years) weather, vegetation, and soil conditions across croplands and grazing lands.
With up to 30m resolution and outputs aligned with peer-reviewed literature, SOC Sequestration Potential data enables project developers and financiers to prioritize investment in the land with the greatest performance prospects.
Explore the microbial and biophysical factors influencing soil ecosystem and carbon dynamics. Evaluate how targeted interventions, like adjusting moisture or pH, can improve long-term soil health, sequestration potential, and more.
This dataset includes Carbon Use Efficiency (CUE), Microbial Moisture Response (MMRC), Microbial Degree Days (MDD), Microbial pH Coefficient (MpHC), Below-Ground Biomass (BGB), and Above-Ground Biomass (AGB), along with a fused global landcover layer.
With 30m resolution and scientific validation across diverse regions, our multi-factor Soil Health Indicators provide nuanced, actionable data that empowers effective soil management planning and forecasting.
Power your sustainability and Scope 3 programs with increased accuracy, reduced data requirements, and lower costs. Unlock SOC reporting in regions that were never accessible before.
Perennial’s SOC Basemap enables you to achieve large-scale, year-over-year inventory measurements across crops and geographies, reaching 95%+ accuracy at a project level and 80%+ at the field level, without soil sampling or farmer data. (Adding limited soil sampling can increase accuracy and drive uncertainty down to under 10%, complying with Tier 3 IPCC requirements.)
In addition to tracking the in-field variation of soil organic carbon changes, Perennial provides insights into carbon sequestration potential and field-level soil health variables. These actionable data equip you to guide regenerative practices with precision and optimize performance.
Develop profitable carbon projects across geographies and land uses while reducing soil sampling, data inputs, and overall project costs.
SOC Sequestration Potential data enables project developers to choose the sites that will respond best to regenerative practices while SOC Basemap enables pre-sampling analysis, accurate stratification, and low-cost baseline impact estimation.
Perennial’s multi-factor soil health indicators further support stratification and empower you to see how targeted interventions — like adjusting moisture or cover crops — can improve long-term soil health and carbon outcomes.
*Perennial also offers project developers end-to-end compliance, including stratification, sampling, and baselining. Adding minimal soil sampling to Perennial’s ATLAS-SOC model can provide verified SOC measurements with 98%+ accuracy.
Make smarter land acquisition decisions with data-driven insights into property potential. Our advanced soil health analytics help you identify undervalued opportunities, analyze future risk of degradation, and optimize portfolio performance by revealing key soil productivity indicators and future land value drivers — all through precise digital mapping that reduces or eliminates costly field assessments.
Advanced analytics tie soil health indicators to crop yield and profitability.
Power conservation decisions with worldwide soil monitoring capabilities. From croplands and grasslands to agroforestry, our annual soil carbon measurements reveal degradation patterns and restoration opportunities across continents. Help your team identify priority areas, track ecosystem changes, and measure impact with consistent, comparable data — turning global insights into local conservation success.
Power your custom solutions with validated soil intelligence. Whether you're building internal tools, enhancing risk models, or developing new products, our flexible data and export formats make integration seamless. Transform your workflows with enterprise-ready ecosystem data that adapts to your needs while maintaining scientific rigor.
.jpg)
Power your sustainability and Scope 3 programs with increased accuracy, reduced data requirements, and lower costs. Unlock SOC reporting in regions that were never accessible before.
Perennial’s SOC Basemap enables you to achieve large-scale, year-over-year inventory measurements across crops and geographies, reaching 95%+ accuracy at a project level and 80%+ at the field level, without soil sampling or farmer data. (Adding limited soil sampling can increase accuracy and drive uncertainty down to under 10%, complying with Tier 3 IPCC requirements.)
In addition to tracking the in-field variation of soil organic carbon changes, Perennial provides insights into carbon sequestration potential and field-level soil health variables. These actionable data equip you to guide regenerative practices with precision and optimize performance.
Develop profitable carbon projects across geographies and land uses while reducing soil sampling, data inputs, and overall project costs.
SOC Sequestration Potential data enables project developers to choose the sites that will respond best to regenerative practices while SOC Basemap enables pre-sampling analysis, accurate stratification, and low-cost baseline impact estimation.
Perennial’s multi-factor soil health indicators further support stratification and empower you to see how targeted interventions — like adjusting moisture or cover crops — can improve long-term soil health and carbon outcomes.
*Perennial also offers project developers end-to-end compliance, including stratification, sampling, and baselining. Adding minimal soil sampling to Perennial’s ATLAS-SOC model can provide verified SOC measurements with 98%+ accuracy.
Make smarter land acquisition decisions with data-driven insights into property potential. Our advanced soil health analytics help you identify undervalued opportunities, analyze future risk of degradation, and optimize portfolio performance by revealing key soil productivity indicators and future land value drivers — all through precise digital mapping that reduces or eliminates costly field assessments.
Advanced analytics tie soil health indicators to crop yield and profitability.
Power conservation decisions with worldwide soil monitoring capabilities. From croplands and grasslands to agroforestry, our annual soil carbon measurements reveal degradation patterns and restoration opportunities across continents. Help your team identify priority areas, track ecosystem changes, and measure impact with consistent, comparable data — turning global insights into local conservation success.
Power your custom solutions with validated soil intelligence. Whether you're building internal tools, enhancing risk models, or developing new products, our flexible data and export formats make integration seamless. Transform your workflows with enterprise-ready ecosystem data that adapts to your needs while maintaining scientific rigor.
Provide your areas of interest in common formats like GeoJSON
Define the specifications you need to power your analysis
Export data in analysis-ready formats like GeoTIFF and GeoJSON
Integrate data into your existing workflows
