01
Soil condition index
Composite health metric.
Soils & Carbon
From soil intelligence
From soil intelligence
to carbon monitoring.
AI and Earth observation to map soils, assess land condition, monitor vegetation–soil interactions, and estimate carbon-related indicators at scale.
Sample indicators · illustrative values
0.72
Soil condition index
68.4
Above-ground biomass
Low
Erosion risk
What we monitor
What we monitor
- Soil classes Map and classify soil types and key properties across landscapes.
- Land degradation Detect and quantify degradation and soil productivity loss.
- Organic matter proxy Estimate soil organic matter as a proxy for fertility and carbon.
- Vegetation–soil interactions How vegetation dynamics influence soil health.
- Erosion risk Assess drivers and identify vulnerable areas.
- Carbon-related dynamics Track stocks, sequestration potential and trends.
Indicators
Sample indicators
02
Erosion risk
Risk score per pixel.
03
Land-cover distribution
Composition by class.
04
Above-ground biomass proxy
Stand-level estimate.
05
Carbon stock estimate
Per hectare, per epoch.
06
Vegetation cover
Green cover dynamics.
07
Change over time
Trajectory across years.
08
Restoration priority
Where intervention matters.
What we deliver
What we deliver
Soil maps
High-resolution soil property and classification maps.
Dashboards
Interactive dashboards with key indicators and trends.
Change detection
Monitor changes in soils, vegetation and land condition.
Actionable indicators
Clear, decision-ready metrics to prioritize and act.
Applications
Applications
Soil monitoring
Land restoration
Carbon projects · MRV-ready outputs
Compliance & reporting
Territorial planning
Why CASSIA
A traditional survey takes weeks.
A traditional survey takes weeks.
A satellite pass takes a morning.
01
Continuous monitoring
No field teams required. Satellites pass overhead every few days.
02
Full spatial coverage
Wall-to-wall, repeatable, standardized not a sample of plots.
03
Drastic cost reduction
A fraction of what traditional surveys cost and far more often.
04
AI-powered indicators
Decision-ready metrics not raw rasters you have to interpret.
05
Weeks → hours
From data acquisition to actionable map, in a single working day.
Start here
Map a soil,
Map a soil,
measure its carbon.
Send us a study area. We will return a soil classification, an erosion risk map and a carbon stock estimate within a week.