Show HN: I built a satellite forensic engine to detect fraud in Carbon Markets

I got tired of reading PDF reports for Carbon Offsets that claimed to be "Protected Forests" but looked suspicious on Google Maps. So I built Silent Earth—a standalone forensic engine (Python/React) to audit them mathematically. The Stack: * Ingestion: Scrapes Verra/Gold Standard registries for project coordinates. * Telemetry: Queries the Sentinel-2 Satellite Constellation (via Microsoft Planetary Computer). * Analysis: Calculates NDVI (Biomass Density) and performs spectral analysis on the claimed area. * AXIOM Kernel: Cross-references industrial "shutdown" claims against Tropospheric NO2 levels (Sentinel-5P). The Result: I routinely find "Verified" assets with an NDVI < 0.2 (Bare Soil). The tool is currently local-only for privacy, but I'm moving the data stream to Snowflake. Happy to answer questions about the geospatial stack (Rasterio/Shapely) or the satellite APIs.