SATELLITE REMOTE SENSING
Pioneering Tools for Environmental Insight and Sustainable Investment
Satellite imagery and remote sensing make environmental monitoring real-time and global. Deep learning on Landsat and Sentinel data automates deforestation detection, mangrove mapping, emissions verification — replacing self-reported corporate data with objective Earth observation.
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Landsat (since 1972, 30m, open) + Sentinel (Copernicus, 10m, free) + commercial constellations (Maxar, Planet, BlackSky at 1–5m) blanket the planet.
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Google Earth Engine democratizes geospatial computation — petabytes of imagery, cloud-based, no infrastructure to run global analyses.
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CNN-based deep learning detects mangroves, deforestation, urban expansion, water bodies, ships, crop health — automatically and at scale.
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Digital MRV (Measurement, Reporting, Verification) via satellite + AI + blockchain enables third-party-verified environmental claims for carbon credits and impact bonds.
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Indonesian mangrove case study: deep learning CNN trained on Sentinel-2 imagery for automated classification, change detection, and carbon stock estimation.
"Google Earth Engine democratizes global access to geospatial data — petabytes of satellite imagery in cloud, enabling researchers and investors to run analyses without owning infrastructure."
Mark Golovcsenko
Principal, US Strategy practice · KPMG
"If they comply with the CSRD, they will likely meet SEC and California requirements as well. This effectively makes the CSRD a global standard."