SpatialCover Tree Canopy Connecticut
SpatialCover Tree Canopy Connecticut is a high resolution (1 meter) tree cover data layer that provides baseline information on woody vegetation for Connecticut 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 2014 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 Tree Canopy?
The SpatialCover Tree Canopy Connecticut 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.
SpatialCover Tree Canopy Connecticut Overview
|Minimum Mapping Unit||0.005 acre|
|Area||5,041 sq. miles|