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.
EarthDefine's Land Cover compared to coarse resolution data
|Aerial Image (1m)
||30m NLCD (National Land Cover Dataset) 2006
||1m Land Cover 2012
1. The shrubs class is not classified for a state if it covers less than 0.5% of the total area.
|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.|
|Shrubs1||6||low woody vegetation - early stage or stunted trees|
What can you do with the Land Cover data?
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.
|Minimum Mapping Unit||0.005 acre|