
Satellite-driven MRV infrastructure for agricultural carbon systems, remote sensing, and climate intelligence. We engineer the physical verification layer for planetary-scale ecosystem restoration.
VELSTROM exists at the intersection of aerospace systems, geospatial software, and climate mechanics. We build systems that make physical carbon sequestration measurable, verifiable, and permanent.
Ingesting daily high-resolution Sentinel-2, Landsat, and planetary SWIR (Short-Wave Infrared) bands to construct continuous vegetation and spectral reflectances indices.
Leveraging advanced machine learning pipelines calibrated against verified physical soil core samples to measure Soil Organic Carbon (SOC) with ultra-high spatial resolution.
Coordinating localized soil hydration systems, precision farming methods, and biological interventions designed to achieve permanent planetary carbon removals.
We leverage raw reflectance channels to measure biological water stress and Soil Organic Carbon. By cross-calibrating Sentinel platforms with localized ground-truth matrices, we eliminate traditional verification leaks.
> Read Technology Whitepapers10m spatial resolution across SWIR and NIR bands.
Short-wave infrared sensors mapping agricultural water baselines.
Massive scale spatial computing and pipelines execution.
Calibrated chemical verification lab assays for validation.
Fully automated spatial coordinate ingestion models.
Continuous satellite passes gather raw multi-spectral data streams.
SWIR indices process chlorophyll, moisture, and biomass thresholds.
Deep core chemical soil samples establish local baseline coefficients.
Ensemble ML models output high-density SOC spatial grids.
Third-party validation issues immutable carbon removal certifications.
Our pioneer validation clusters utilize high-integrity GIS boundaries. Hover over a state outline to see its designated target district or select a node to view physical soil sampling and remote sensing calibration telemetry.
VELSTROM is charting the future of earth engineering. In the coming decades, our geospatial algorithms will move beyond soil monitoring to address watershed intelligence, precision micro-irrigation management, desert reclamation, and high-fidelity biodiversity tracking systems.
We publish our soil organic carbon calibration curves, remote sensing band matrices, and verification data for open academic critique.
> Browse Scientific RepositoryAn in-depth document showing our ML calibration model parameters and SWIR band index correlations.
Technical framework explaining our open GIS pipeline architecture and multi-spectral validation criteria.