The Land Cover product is a high-resolution (1 meter) dataset that provides baseline land cover information in multiple formats to support different land management applications. It is derived from 1 meter or better resolution, 4 band color infrared imagery that is acquired typically on a 2 year cycle as part of the National Agriculture Imagery Program (NAIP) or a state orthoimagery acquisition project.

EarthDefine's Land Cover product offers significant advantages over traditional coarser resolution (30m or lower) land cover datasets. Our high-resolution data enables you to precisely map fine scale variations in the landscape in mixed landcover terrains that are crucial to accurately modeling a host of landscape processes.

Aerial Image (1m)	30m NLCD (National Land Cover Dataset) 2006	1m Land Cover 2012

Class Name	Value	Classification Description
Herbaceous	1	all surfaces with non-woody vegetation - lawns, cropland, grasses, etc.
Bare	2	non-vegetated non-impervious cover - snow, sand, barren farmland, rock, etc.
Impervious	3	impermeable built-up surfaces - roads and transportation infrastructure, sidewalks, buildings, parking lots, etc.
Water	4	open water - lakes, rivers, streams, sea, ponds, etc.
Trees	5	trees
Shrubs1	6	low woody vegetation - early stage or stunted trees

^{1. The shrubs class is not classified for a state if it covers less than 0.5% of the total area.}

The Land Cover product helps local, state and federal agencies, companies and non-profits by supplying accurate and spatially explicit high-resolution land cover data for performing a wide range of mapping and analytical functions. Example applications include:

• measuring current and potential tree canopy coverage for Urban Tree Canopy (UTC) assessments
• understanding quantity/quality of stormwater runoff based on the distribution of impervious and other land cover
• improving line of sight radio wave propagation modeling for wireless planning through derivative 'clutter' classification
• conducting environmental impact assessments for construction projects
• monitoring land cover change related to oil and gas development
• finding the least-cost pathways for building utility corridors and highways
• predicting erosion risk through analysis of land cover and terrain data
• wildfire risk modeling and mitigating post fire ecological impacts
• monitoring urban growth
• using dasymetric mapping methods to improve surface population maps for risk vulnerability analysis related to natural disasters
• modeling carbon storage and change as a function of land cover types

EarthDefine uses a Geographic Object-Based Image Analysis (GEOBIA) processing workflow to create the Land Cover product.

US Tree Map

Tree Locations

Canopy Height Model (CHM)

Impervious Cover

US Building Footprints

Technical Specifications
Resolution	1 meter
Minimum Mapping Unit	0.005 acre
Accuracy	>90%
Classes	61