Sylithe Forest Intelligence

See your forest carbon with absolute clarity.

Satellite-powered canopy height measurement calibrated by airborne LiDAR. Finally, know exactly how much carbon your forest is storing—without the cost and delay of manual field surveys.

Request a demoView coverage map
Canopy Height Model Visualization

Traditional forest carbon estimates leave you exposed.

Whether you're issuing credits or buying them, unreliable biomass estimates create regulatory and reputational risk. Ground surveys are expensive and infrequent. Satellite indices alone lack validation. And static carbon maps miss the changes that matter.

Expensive & Slow

Expensive & Slow

Manual field surveys cost thousands per site and take months to complete.

Unreliable Indices

Unreliable Indices

Optical greenness confuses crops for forests and misses degradation entirely.

Outdated Maps

Outdated Maps

Static biomass estimates can't detect the disturbances that threaten permanence.

Accurate Canopy Height Measurement

Canopy height measurement you can bank on.

We combine satellite imagery with spaceborne and airborne LiDAR to deliver annual canopy height maps.

This isn't theoretical modeling—these are measurements validated against actual laser scans of the forest. Understand forest structure from 2000 to present, anywhere in the world, with uncertainty quantified for every hectare.

The Process

From raw signal to structural certainty.

01

Ingest

We pull multi-source satellite data—optical, radar, and LiDAR—for your specific area of interest.

02

Calibrate

Our AI models learn from millions of GEDI and airborne LiDAR measurements to ground-truth the satellite signals.

03

Measure

Generate annual canopy height maps showing precise tree growth and structural change year-over-year.

04

Validate

Every pixel carries confidence intervals. We quantify uncertainty so you can defend your numbers in any audit.

Data Fusion Process
Why Canopy Height

Why canopy height beats traditional biomass proxies

Direct Measurement

We measure physical tree height, not spectral greenness—which often confuses crops for mature forests.

LiDAR-Calibrated

Every pixel is grounded in actual laser measurements from GEDI and airborne surveys, not modeling assumptions.

Uncertainty Transparent

We tell you exactly how confident we are in every measurement—critical for audit trails and risk management.

From the Amazon to your backyard.

Historical analysis back to 2015 (extending to 2000), covering tropical rainforests, temperate woodlands, and plantation projects. If it has canopy, we can measure it.

Global Coverage Map
Works with your existing workflow
Verra LogoVerified Carbon Standard
IC-VCM LogoIntegrity Council
ABACUSHigh-Integrity Label
BEE LogoIndian Carbon Market
Gold Standard LogoCertified Credits
Verra LogoVerified Carbon Standard
IC-VCM LogoIntegrity Council
ABACUSHigh-Integrity Label
BEE LogoIndian Carbon Market
Gold Standard LogoCertified Credits
Verra LogoVerified Carbon Standard
IC-VCM LogoIntegrity Council
ABACUSHigh-Integrity Label
BEE LogoIndian Carbon Market
Gold Standard LogoCertified Credits
Verra LogoVerified Carbon Standard
IC-VCM LogoIntegrity Council
ABACUSHigh-Integrity Label
BEE LogoIndian Carbon Market
Gold Standard LogoCertified Credits

Export data directly to major carbon accounting platforms. Our canopy height layers integrate with VM0047 methodologies and align with emerging IC-VCM integrity guidelines.

Mission

Understanding Forests at Planetary Scale

"Sylithe develops advanced geospatial models that convert satellite data into quantifiable insights on canopy structure, biomass, and carbon dynamics. Through AI-driven analysis and transparent methodologies, we aim to improve how forests are measured, monitored, and understood globally."
The Sylithe Vision
Building the foundation

FAQs

What is a Canopy Height Model (CHM)?
A Canopy Height Model (CHM) is a 3D representation of the continuous height of trees and vegetation above the bare earth. Sylithe generates high-resolution CHMs using Spaceborne LiDAR and satellite data to map the vertical structure of forests.
Why is CHM important for measuring forest carbon?
Tree height is a critical variable for calculating Above-Ground Biomass (AGB) and determining the total carbon stock of a project. A satellite-derived CHM provides objective, large-scale height data without the need to manually measure thousands of trees.
How does Sylithe generate CHM without drones or airplanes?
Sylithe uses Spaceborne LiDAR data (such as NASA GEDI and ICESat-2) fused with continuous optical satellite imagery. Our machine learning models extrapolate this structural data to create continuous, highly accurate canopy height maps globally.
Is satellite LiDAR accurate enough for carbon credit verification?
Yes. Sylithe's AI-driven fusion of Spaceborne LiDAR and SAR data achieves state-of-the-art accuracy, meeting the rigorous standards required by registries like Verra, Gold Standard, and the Indian Carbon Market for digital MRV.
How does CHM help in ARR (Afforestation) projects?
For Afforestation, Reforestation, and Revegetation (ARR) projects, CHM is used to continuously track tree growth rates over time. Sylithe allows developers to visualize and report the actual vertical growth of their newly planted forests.
Can CHM data replace manual forest inventory?
While some strategic ground-truthing is necessary, Sylithe's continuous CHM significantly reduces the need for dense field plots. This lowers digital MRV costs and accelerates the carbon credit verification timeline.

Stop estimating.
Start measuring.

Get a sample canopy height analysis for your project area and see the difference that validated measurement makes.

Launch Dashboard