SpatialCover Canopy Height Model (CHM) Ohio
SpatialCover Canopy Height Model (CHM) Ohio is a high resolution (1 meter) raster dataset that maps the tree height as a continuous surface for Ohio. Each pixel in the CHM represents the tree overstory height above the underlying ground topography. It is derived from processing multiple terabytes of color infrared imagery from 2010 and LIDAR data flown between 2006 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 Canopy Height Model (CHM) Ohio?
The SpatialCover Canopy Height Model (CHM) Ohio 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. Tree heights were interpolated over pixels that were classified as tree canopy to generate the CHM. Morphological filtering was used to fill small data gaps and improve the cartographic quality of the final product.
SpatialCover CHM Ohio Overview
|Minimum Mapping Unit||0.005 acre|
|Area||15,245 sq. miles|