About ForINT

Landscape-level forestry insights, immediately accessible.
Mixed forest landscape

Make informed decisions with a more complete picture made from remote sensing data. Whatever your plans, ForINT provides landscape-level insights at your fingertips without costly and time-consuming field surveys. ForINT can provide a new source of readily accessible information for:

  • Forest management
  • Harvest planning
  • Carbon sequestration
  • Return on investment decisions

Parcel-level data is available in accessible bundles at the state and county level.

If your interest is limited to a single property or project, ForINT is also available for areas defined by shapefile.

Use cases

Timberland acquisitions

Timberland acquisitions

Readily make informed strategic acquisition decisions from landscape-level remote sensing data, before engaging in costly and time-consuming field surveys. With ForINT, you’ll have greater informati
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Forest Carbon Origination Planning

Forest Carbon Origination Planning

ForINT enables better prospecting for IFM projects to create carbon credits. ForINT can summarize data to highlight parcels with high carbon potential. Managers can compare carbon potential to merchan
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Stratification for forest inventory

Save on time and cost of forest inventories. ForINT stratifies your forest to better inform field plot placement to increase accuracy while reducing the number of field visits required. By starti
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Regional Variation

The ForINT analytics varies by location to reflect the forest types and the needs of our customers.  

ForINT South

Evergreen plantation forestry dominates, and insights are built at the parcel-level from maps of clearfell and thinning activities.  Currently available in - South Carolina, North Carolina, Georgia, Alabama, Mississippi, Louisiana, Arkansas, Texas, Virginia, Oklahoma, and Florida.

ForINT Northeast

Mixed age forestry dominates, and parcel-level summaries are provided with underlying stratified forest inventories.  Initially available in Maine.

Need data for a different State?  Get in touch via our contact page.

Map showing coverage of ForINT. October 2024 - Maine, South Carolina, North Carolina, Georgia, Alabama, Mississippi, Louisiana, Arkansas, Texas, Virginia, Oklahoma, and Florida.

GSI’s approach combines artificial intelligence and supercomputing to build machine learning models that assess forests using a time series analysis, tracking subtle changes over time. We analyze many types of data to create the most accurate results, including satellite imagery, LiDAR, FIA plot data, and more. The result is wall-to-wall coverage of entire states, enabling decision-making informed by landscape-level trends.

A satellite photo of the earth from above. The photo focuses on a piece of wooded coastline with some small lakes and a number of mountains covered in forest. There is a small amount of snow covering the tops of the peaks.

Data can be purchased for an entire state or at the county and town level.

Need data for a different State? Get in touch via our contact page.