US Tree Map
  • high-resolution tree canopy map
  • seamless coverage across the US
  • annual updates
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US Tree Map over Savannah, Georgia
Austin, Texas (2015)
Austin, Texas (2015)
Slider Buildings Slider Buildings
US Building Footprints
156 + million properties

Precisely Mapped Structures with Addresses
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Slider Background Slider Buildings Slider Trees
Scalable Geospatial Data Solutions
Southbury, Connecticut (2016)
Southbury, Connecticut (2016)
Southbury, Connecticut (2016) Land Cover
Land Cover
  • high-resolution land cover
  • multi-state coverage in the contiguous US
  • >90% accuracy
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Southbury, Connecticut (2016)
Charleston, South Carolina (2015)
Charleston, South Carolina (2015)
Charleston, South Carolina,
Tree Locations
  • maps individual trees
  • attributed tree points and polygons
  • idealized tree crowns
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Charleston, South Carolina (2015)
Clark State Forest, Indiana (Color Infrared 2012)
Clark State Forest, Indiana (2012)
Clark State Forest, Indiana (2011-13), Canopy Height Model (CHM)
Canopy Height Model (CHM)
  • high-resolution modeled tree heights
  • multi-state coverage in the contiguous US
  • >95% accuracy
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Clark State Forest, Indiana (2012)

EarthDefine is using AI to transform earth sensor data into consumable geospatial information products.

US Tree Map

The US Tree Map is a high-resolution (1-meter) product that provides baseline tree cover information to support improved management of tree resources and carbon quantification. Learn more.

US Building Footprints

The US Building Footprints dataset is a seamless GIS-ready data layer for the contiguous United States. We map and update millions of buildings polygons every month to provide a seamless source for building location-centric analysis. Learn more.

Land Cover

The Land Cover dataset is a high-resolution (1 meter) product that provides baseline land cover information in multiple formats to support different land management applications. Learn more.

Tree Locations

The Tree Locations dataset is a high-resolution vector product that provides baseline information on individual trees, tree heights and tree crown extents for 3D urban modeling and canopy assessment. Learn more.

Canopy Height Model

The Canopy Height Model (CHM) dataset is a high-resolution (1 meter) product that provides baseline information on tree heights for applications like solar shade analysis and modeling forest metrics. Learn more.

Impervious

The Impervious Cover dataset is a high-resolution (1 meter) product that provides baseline impervious cover information in multiple formats to support different stormwater management and ecological applications. Learn more.

Clients