We measure what matters beneath the surface.

Industrial farming degraded 1/3 of global topsoil.

We help restore it with precision measurement.

What we can't see, we're losing.

The invisible crisis.

Soil Health Degradation

1980 - 2024

100%

80%

60%

40%

20%

0%

1980

1990

2000

2010

2020

2024

Soil health decreases across the decades: about 85% in 1980, 78% in 1990, 65% in 2000, 60% in 2010, 52% in 2020 and around 38% in 2024. </p>
Soil health decreases across the decades: about 85% in 1980, 78% in 1990, 65% in 2000, 60% in 2010, 52% in 2020 and around 38% in 2024. </p>

Scale of degradation:

Industrial agriculture has depleted one-third of the world's topsoil in just 40 years. The foundation of our food system is eroding faster than it can regenerate. What took millennia to build is disappearing in decades.

Why it matters:

Healthy soil isn't just dirt — it's a living ecosystem that sequesters carbon, filters water, and produces the food that feeds eight billion people. When soil degrades, we don't just lose farmland. We lose climate stability, food security, and ecosystem resilience.

The measurement gap:

Yet we've been operating blind. Farmers make decisions based on guesswork. Carbon markets trade credits with no ground truth. Regenerative practices spread without proof they work. The most critical resource for our survival has no reliable system of measurement.

Scale of degradation:

Industrial agriculture has depleted one-third of the world's topsoil in just 40 years. The foundation of our food system is eroding faster than it can regenerate. What took millennia to build is disappearing in decades.

Why it matters:

Healthy soil isn't just dirt — it's a living ecosystem that sequesters carbon, filters water, and produces the food that feeds eight billion people. When soil degrades, we don't just lose farmland. We lose climate stability, food security, and ecosystem resilience.

The measurement gap:

Yet we've been operating blind. Farmers make decisions based on guesswork. Carbon markets trade credits with no ground truth. Regenerative practices spread without proof they work. The most critical resource for our survival has no reliable system of measurement.

The invisible must become visible.

You can't restore
what you can't measure.

Topographic contour map pattern used as decorative background texture.

0

400

0

33%

Of global topsoil degraded in 40 years.

$400B

Annual cost of soil degradation globally.

95%

Of our food comes from soil.

0

Standardized systems for soil health verification.

Topographic contour map pattern used as decorative background texture.

0

400

0

33%

Of global topsoil degraded in 40 years.

$400B

Annual cost of soil degradation globally.

95%

Of our food comes from soil.

0

Standardized systems for soil health verification.

Topographic contour map pattern used as decorative background texture.

0

400

0

33%

Of global topsoil degraded in 40 years.

$400B

Annual cost of soil degradation globally.

95%

Of our food comes from soil.

0

Standardized systems for soil health verification.

How we measure.

Layer by layer, from orbit to soil.

TerraScan doesn't rely on single data sources. We synthesize information across five measurement layers — from satellite imagery capturing landscape patterns to soil samples revealing microbial activity. Each layer validates and enriches the others, creating a complete picture of soil health that no single method could achieve alone.

01

SATELLITE DATA

Multispectral satellites track vegetation health, moisture patterns, and land use changes across entire regions — updated every 3-5 days. We analyze NDVI, thermal signatures, and terrain elevation to identify degradation patterns before they're visible to the naked eye.

Abstract satellite orbital diagram with concentric arcs and a central targeting reticle, representing multispectral satellite data collection for soil health monitoring.

01

SATELLITE DATA

Multispectral satellites track vegetation health, moisture patterns, and land use changes across entire regions — updated every 3-5 days. We analyze NDVI, thermal signatures, and terrain elevation to identify degradation patterns before they're visible to the naked eye.

Abstract satellite orbital diagram with concentric arcs and a central targeting reticle, representing multispectral satellite data collection for soil health monitoring.

02

DRONE SURVEYS

Commercial drones capture RGB, multispectral, and thermal imagery at 2cm resolution — details satellite imagery can't match. Flight paths are optimized to reveal erosion patterns, compaction zones, and irrigation inefficiencies across thousands of acres in hours.

Abstract drone flight path visualization showing parallel scan lines across a field, representing high-resolution aerial mapping for soil health surveys.

02

DRONE SURVEYS

Commercial drones capture RGB, multispectral, and thermal imagery at 2cm resolution — details satellite imagery can't match. Flight paths are optimized to reveal erosion patterns, compaction zones, and irrigation inefficiencies across thousands of acres in hours.

Abstract drone flight path visualization showing parallel scan lines across a field, representing high-resolution aerial mapping for soil health surveys.

03

GROUND SENSORS

Wireless sensor arrays transmit soil moisture, temperature, pH, electrical conductivity, and nutrient data hourly — revealing how conditions change across seasons and weather events. Continuous streams validate remote sensing predictions and trigger alerts when thresholds are crossed.

Abstract ground sensor network diagram showing interconnected nodes across a monitored field area, representing real-time soil moisture and nutrient data collection.

03

GROUND SENSORS

Wireless sensor arrays transmit soil moisture, temperature, pH, electrical conductivity, and nutrient data hourly — revealing how conditions change across seasons and weather events. Continuous streams validate remote sensing predictions and trigger alerts when thresholds are crossed.

Abstract ground sensor network diagram showing interconnected nodes across a monitored field area, representing real-time soil moisture and nutrient data collection.

04

SOIL SAMPLES

Laboratory analysis quantifies what sensors and satellites can't: carbon content, nutrient levels, microbial diversity, and physical structure. Ground truth data validates our models with 94% accuracy and calibrates predictions for specific soil types and climates.

Soil stratification diagram showing horizontal layers at varying depths from surface to 100cm, with color-coded bands representing different soil compositions and carbon content levels.

04

SOIL SAMPLES

Laboratory analysis quantifies what sensors and satellites can't: carbon content, nutrient levels, microbial diversity, and physical structure. Ground truth data validates our models with 94% accuracy and calibrates predictions for specific soil types and climates.

Soil stratification diagram showing horizontal layers at varying depths from surface to 100cm, with color-coded bands representing different soil compositions and carbon content levels.

05

PREDICTIVE MODELS

Neural networks trained on millions of data points forecast carbon sequestration potential, erosion risk, optimal crop rotation strategies, and regeneration timelines — updating continuously as new measurements arrive, improving accuracy with every field season.

Abstract predictive model visualization showing multiple data input streams converging into a single output node, representing machine learning synthesis of soil health measurements.

05

PREDICTIVE MODELS

Neural networks trained on millions of data points forecast carbon sequestration potential, erosion risk, optimal crop rotation strategies, and regeneration timelines — updating continuously as new measurements arrive, improving accuracy with every field season.

Abstract predictive model visualization showing multiple data input streams converging into a single output node, representing machine learning synthesis of soil health measurements.
Topographic contour map pattern used as decorative background texture.

What we've measured.

01/04

2.4M+

Hectares monitored

02/04

94%

Model accuracy

03/04

847

Farms assessed

04/04

3.2M

Carbon credits verified

01/04

2.4M+

Hectares monitored

02/04

94%

Model accuracy

03/04

847

Farms assessed

04/04

3.2M

Carbon credits verified

Topographic contour map pattern used as decorative background texture.

The science behind the data.

Our measurement framework combines peer-reviewed soil science with independent laboratory validation. Built to meet the standards of global carbon markets and regenerative agriculture research.

12 soil types

Peer-Reviewed Science

Our protocols are grounded in published soil science and aligned with IPCC carbon accounting standards. Every method is documented, reproducible, and open to scrutiny.

12 soil types

Peer-Reviewed Science

Our protocols are grounded in published soil science and aligned with IPCC carbon accounting standards. Every method is documented, reproducible, and open to scrutiny.

4 climate zones

Third-Party Validation

All soil carbon claims are verified by independent accredited laboratories. Results are cross-referenced against physical samples to ensure predictions reflect ground reality.

4 climate zones

Third-Party Validation

All soil carbon claims are verified by independent accredited laboratories. Results are cross-referenced against physical samples to ensure predictions reflect ground reality.

94% accuracy

Open Data Standards

TerraScan data is compatible with Verra, Gold Standard, and CAR carbon frameworks — ensuring seamless integration with global carbon markets and agricultural reporting systems.

94% accuracy

Open Data Standards

TerraScan data is compatible with Verra, Gold Standard, and CAR carbon frameworks — ensuring seamless integration with global carbon markets and agricultural reporting systems.

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