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Continuuiti — Global coordinate-level land-cover and deforestation product derived from 10 m optical satellite imagery: for any lat/lon it returns the dominant land-cover class across nine classes with class percentage, a boolean flag for deforestation since the 31 December 2020 regulatory cutoff, protected-area and indigenous-territory status with metres-to-nearest-protected-area distance, an overall compliance verdict, and an annual land-cover time series from 2020 to present. The licensable asset is the derived analytics layer — change detection, risk scoring and protected/indigenous terri…
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Global coordinate-level land-cover and deforestation product derived from 10 m optical satellite imagery: for any lat/lon it returns the dominant land-cover class across nine classes with class percentage, a boolean flag for deforestation since the 31 December 2020 regulatory cutoff, protected-area and indigenous-territory status with metres-to-nearest-protected-area distance, an overall compliance verdict, and an annual land-cover time series from 2020 to present. The licensable asset is the derived analytics layer — change detection, risk scoring and protected/indigenous territory overlay — not the underlying open imagery, which anyone can download.
From 6 yearsCoverage Information Technology · IndustrialsAsset class Equities · Fixed income
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Continuuiti — Global coordinate-level land-cover and deforestation product derived from 10 m optical satellite imagery: for any lat/lon it returns the dominant land-cover class across nine classes with class percentage, a boolean flag for deforestation since the 31 December 2020 regulatory cutoff, protected-area and indigenous-territory status with metres-to-nearest-protected-area distance, an overall compliance verdict, and an annual land-cover time series from 2020 to present. The licensable asset is the derived analytics layer — change detection, risk scoring and protected/indigenous terri…
Continuuiti offers (Alternative, Geospatial, ESG) — Global coverage of land areas at 10 m resolution classified into nine classes with one annual version per location from 2020 to present — roughly 6 annual layers so far, each on the order of 10 million 10 m pixels globally; the served product is per-coordinate lookups plus batch responses rather than a shipped file.
Automated deforestation-free screening of supplier and portfolio coordinates for cattle, soy, cocoa, coffee, rubber and palm supply chains; training and ground-truthing of land-cover segmentation and change-detection models on the 2020-to-present annual labels; conservation and indigenous-territory encroachment monitoring; portfolio-level nature and transition risk scoring for lenders and asset managers; benchmark data for evaluating other land-cover products
The data is with 6 years of history.
Coverage spans US, Europe, UK; Application Software, Research & Consulting Services; alternative, geospatial, ESG; equities, fixed_income.
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