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Forest Carbon Measurements

Forest Carbon is a cutting-edge geospatial dataset providing accurate, high-resolution estimates of aboveground carbon, tree height, and canopy cover. By fusing satellite observations from PlanetScope, Sentinel-2, and NASA`s GEDI LiDAR, it offers unmatched visibility into forest dynamics - from large-scale portfolio assessments to detailed tree-level monitoring. The 30m 'Diligence' resolution is ideal for long-term trend analysis, while the 3m 'Monitoring' resolution delivers quarterly updates for real-time tracking of forest change. With a scalable, cost-effective approach, Forest Carbon empowers organizations to quantify carbon stocks, monitor deforestation, and verify reforestation projects anywhere on Earth.
Carbon Accounting:
  • Quantify carbon stocks across global forests.
  • Track carbon loss from deforestation events.
  • Validate carbon offset projects with reliable data.
Forest Monitoring:
  • Detect illegal logging in protected areas.
  • Track canopy height changes over time.
  • Identify reforestation success with high accuracy.
Supply Chain Risk:
  • Monitor deforestation in sourcing regions.
  • Ensure compliance with sustainability regulations.
  • Identify land use changes impacting resources.
Wildfire Assessment:
  • Map burn areas with high-resolution data.
  • Measure canopy recovery after fire events.
  • Assess wildfire risk in vulnerable regions.
SkyFi integrates diverse geospatial data sources to give you the most up-to-date, detailed understanding of the landscapes shaping our future.

Industries

From agriculture to urban planning, environmental monitoring to disaster response, our platform provides essential data for informed decision-making across various sectors.
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Environment

Imagery and analytics track environmental changes with precision, uncovering trends in ecosystems, habitats, and natural resources over time with ease. These insights equip individuals and organizations to make informed decisions in conservation, restoration, land management, and sustainable development.
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