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. It is derived from 1 meter or better resolution, 4 band color infrared imagery that is acquired typically on a 3 year cycle as part of the National Agriculture Imagery Program (NAIP) or a state orthoimagery acquisition project.
EarthDefine's SpatialCover Land Cover product offers significant advantages over traditional coarser resolution (30m or lower) land cover datasets. You will finally be able to precisely map fine scale variations in the landscape in mixed landcover terrains that are crucial to accurately modeling a host of landscape processes at small scales.
SpatialCover Land Cover compared to coarse resolution land cover
|Aerial Image (1m)
||30m NLCD (National Land Cover Dataset) 2006
||1m SpatialCover 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 SpatialCover Land Cover?
The SpatialCover 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 SpatialCover Land Cover product.
|Minimum Mapping Unit||0.005 acre|