The Librae Intelligence Suite
Four branded intelligence modules combining satellite physics, AI synthesis, and cryptographic verification — turning raw Earth data into premium-grade audit reports.
The Dual-Processing Pipeline
📐 Vector Intelligence
The Skeleton
We ingest "messy" data — hand-drawn KMLs, drone GPS logs, and scanned land deeds. Our AI performs Data Matchmaking and Object Identification, cleaning geometry and identifying overlaps.
🛰️ Raster Intelligence
The Muscle
Using the Copernicus + Landsat constellation via Google Earth Engine, we classify every pixel by its biological signature — not just "green" but the exact species and health.
Intelligence Modules
Each module is purpose-built for a specific domain. Every report includes satellite evidence, AI interpretation, and SHA-256 cryptographic sealing.
AgroTrace™
Compliance & Supply Chain Integrity
Focus: EUDR, MSPO/RSPO, and Small Farmer Market Access
Automated verification of land status as of Dec 31, 2020 to meet strict European export laws via Sentinel-2 time-series.
InSAR (Interferometric SAR) detection of millimeter-scale land subsidence over protected peat zones using Sentinel-1.
Automated river buffer verification ensuring legal widths via high-resolution Sentinel-2 and Landsat imagery.
Continuous vegetation health tracking across plantation polygons with Sentinel-2 Red Edge bands.
Water table analysis and flood-risk scoring using SAR backscatter and NDWI indices.
SHA-256 data fingerprint + GPS-tagged field task list for ground officers to verify "Truth on Site."
ForestGuard™
Carbon Stocks & Biodiversity
Focus: Verra / Gold Standard Eligibility and High-Integrity Credits
Real-time Above Ground Biomass calculation in tCO₂e using GEDI LiDAR + Sentinel-2 fusion.
Detects "Selective Logging" — subtle removal of high-value trees that standard satellites miss.
AI classifier distinguishing natural primary forests from commercial plantations to prevent greenwashing.
Tracking annual forest loss/gain since 2000 using Landsat 30m archive data.
Forest canopy height and vertical structure measurement from the International Space Station.
Detecting subtle changes in forest structure under cloud cover using Sentinel-1 interferometry.
TerraVital™
Restoration & Thermodynamics
Focus: Desert Greening, Cooling Effects, and Ecosystem Recovery
Thermodynamic analysis comparing LST (Land Surface Temperature) vs. NDVI to prove restoration is physically cooling the planet.
HANTS (Harmonic Analysis of Time Series) distinguishing seasonal grass (temporary) from permanent tree growth (permanent carbon).
Measuring reflectivity change as sand is replaced by vegetation — key metric for global cooling grants.
Soil-Adjusted Vegetation Index correcting for soil brightness in sparse desert areas using Sentinel-2.
Bare Soil Index mapping the extent of bare soil to monitor desertification trends.
Normalized Difference Moisture Index detecting water stress in soil and plants via Sentinel-2 SWIR bands.
GaiaAI™
The Predictive "Brain"
Focus: Systemic Risk and Earth System Science
Bayesian model resolving sensor conflicts (e.g., if Optical sees smoke but Radar sees no heat — GaiaAI determines the truth).
Solar-Induced Fluorescence — the "Holy Grail" of plant science: detecting actual photosynthesis to see if a forest is "breathing."
12-month forecast for fire, peat, and drought enabling governments to move from "Reaction" to "Prevention."
Calculating actual CO₂ sequestration vs. emission of specific estates using Sentinel-5P and GOSAT data.
Cross-referencing Sentinel-1 SAR, Sentinel-2 Optical, Landsat Thermal, and GEDI LiDAR for consensus classification.
Google Gemini 3.1 & 2.5 (Vertex AI) synthesizes all satellite layers into a Human-Readable Audit Report in 3-5 minutes.
What's in Every Report
Every Librae report is a fusion of satellite physics, AI interpretation, and cryptographic proof — not just raw data.
Multi-Spectral Maps
NDVI, EVI, SAVI, NDMI overlays from Sentinel-2, Landsat, and GEDI fused into a single composite view.
AI-Synthesized Analysis
Google Gemini 3.1 & 2.5 (Vertex AI) produces human-readable findings from billions of data points in 3-5 minutes.
SHA-256 Seal
Every report Merkle-rooted and timestamped on Polygon L2. Immutable. Even Librae cannot alter it after issuance.
Field Task List
GPS-tagged verification checklist for ground officers — bridging satellite truth with on-site confirmation.
Beyond Code — The Laws of Nature
Physics
Light-reflectance curves, InSAR interferometry, and spectral signatures of specific plants.
Biology
Local growth rates, phenology cycles, and species-specific carbon ratios integrated.
Math
SHA-256 hashing, Merkle Trees, and Bayesian consensus models seal the final output.
AI
Google Gemini 3.1 & 2.5 via Vertex AI + Google Earth Engine synthesize billions of data points in 3-5 minutes.
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See Science in Action
Request a multi-spectral analysis using AgroTrace™, ForestGuard™, TerraVital™, or GaiaAI™.