SpatialCover Tree Canopy Virginia
SpatialCover Tree Canopy Virginia is a high resolution (1 meter) tree cover data layer that provides baseline information on woody vegetation for Virginia in multiple formats to support improved management of tree resources and carbon quantification. It is derived from processing multiple terabytes of color infrared imagery from 2012-14 and LIDAR data flown between 2010 and 2014. LIDAR is a remote sensing technology that enables accurate measurement of elevation for different ground surface types based on the light pulses reflected from the earth.
What can you do with SpatialCover Tree Canopy?
The SpatialCover Tree Canopy Virginia dataset supports numerous applications for urban planning, forest inventory and ecosystem analysis.
A Digital Surface Model (DSM) was created from first returns of the LIDAR point cloud data and bare earth elevations were removed from the DSM to derive an above ground surface model. Buildings and tree canopy were differentiated in the above ground surface model using color infrared imagery through an expert rule based classification system. Morphological filtering was used to fill small data gaps and improve the cartographic quality of the final product. For areas where the LIDAR data was not suitable as a primary data source for tree cover classification, 4 band color NAIP (National Agriculture Imagery Program) imagery was classified using a Geographic Object-Based Image Analysis (GEOBIA) workflow to produce the tree canopy layer.
SpatialCover Tree Canopy Virginia Overview
|Minimum Mapping Unit||0.005 acre|
|Area||40,414 sq. miles|