SpatialCover Tree Canopy Minnesota
SpatialCover Tree Canopy Minnesota is a high resolution (1 meter) tree cover data layer that provides baseline information on woody vegetation for Minnesota 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 2013 and LIDAR data flown between 2006 and 2012. 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 Minnesota dataset supports numerous applications for urban planning, forest inventory and ecosystem analysis. Application examples:
Tree Canopy in Minnesota's Cities
Mapping Per Capita Tree Canopy in Minneapolis-Saint Paul
Mapping Percent Tree Canopy in Minneapolis-Saint Paul
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 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 counties 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 and combined with the LIDAR data to produce the tree canopy layer.
SpatialCover Tree Canopy Minnesota Overview
|Minimum Mapping Unit||0.005 acre|
|Area||84,374 sq. miles|