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Scalable Geospatial Data Solutions
Harrisburg, Pennsylvania (2013)
Harrisburg, Pennsylvania (2013)
Harrisburg, Pennsylvania, SpatialCover Tree Canopy Overlay
SpatialCover Tree Canopy
  • High resolution tree canopy map
  • Multi-state coverage in the contiguous US
  • Largest source of tree presence/absence data
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Harrisburg, Pennsylvania (2013)
Charleston, South Carolina (2015)
Charleston, South Carolina (2015)
Charleston, South Carolina,
SpatialCover Trees
  • 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), SpatialCover Canopy Height Model (CHM)
SpatialCover 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)
Bloomington, Indiana (2011)
Bloomington, Indiana (2011)
Bloomington, Indiana (2011-13), SpatialCover LandCover
SpatialCover Land Cover
  • High resolution land cover
  • Multi-state coverage in the contiguous US
  • >90% accuracy
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Bloomington, Indiana (2011))

EarthDefine is transforming vast amounts of earth sensor data into consumable geospatial information products. Get in touch to know more about our products and services.

SpatialCover Tree Canopy

SpatialCover Tree Canopy is a high resolution (1 meter) tree canopy data product that provides baseline tree cover information in multiple formats to support improved management of tree resources and carbon quantification. Learn more.

SpatialCover Trees

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

SpatialCover Land Cover

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

SpatialCover Canopy Height Model

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

Data Coverage