Earth Imaging Journal: Remote Sensing, Satellite Images, Satellite Imagery
Breaking News
New Integration for Hovermap Data in PointCab Origins Streamlines Point Cloud to Output
A new Emesent – PointCab Origins integration will save...
Hexagon Releases Power Portfolio 2022
Latest version empowers users with automated workflows and improved...
Esri Partners with The Ray to Map Solar Energy Hot Spots
REDLANDS, Calif.-Research published by the Webber Energy Group (WEG)...
DGT Associates Launches Owned Subsurface Mobile Mapping System
BOSTON-DGT Associates, New England’s leading surveying and engineering firm,...
Alpine 4 Holdings (ALPP) Debuts on the Nasdaq and Announces the Acquisition of Identified Technologies, a Drone Mapping Software Company
PHOENIX - Alpine 4 Holdings, Inc. (Nasdaq: ALPP), a...

August 18, 2015
EarthDefine Releases High Resolution Tree Map for Minnesota

ISSAQUAH, Wash., August, 18, 2015 — EarthDefine, a provider of high-resolution spatial data products, has created a seamless tree canopy dataset that maps Minnesota’s trees in unprecedented detail. The Minnesota SpatialCover Tree Canopy dataset maps trees with 98% accuracy and 30 times the resolution of existing state level datasets for Minnesota. This 1-meter resolution dataset will enable users to accurately measure and understand tree cover at regional and local levels, especially in mixed urban and agricultural landscapes.

Photo – http://photos.prnewswire.com/prnh/20150817/258941
Photo – http://photos.prnewswire.com/prnh/20150817/258942

EarthDefine used the Minnesota tree cover data to create an interactive map of tree canopy for all cities in Minnesota that can be used to quickly compare woody vegetation between different cities. Another map of per capita tree cover in the Minneapolis-Saint Paul metropolitan region illustrates how the data can be used to understand urban forest patterns in relation to a city’s demographics. The Minnesota tree data can help planners assess urban tree canopy for any city in the state and also supports other applications like biomass estimation, wildfire risk monitoring, studying interactions between public health and tree cover, quantification of ecosystem services and improved modeling of stormwater flows.

EarthDefine used multiple terabytes of color infrared imagery flown in the summer of 2013 along with three-dimensional point cloud data from LIDAR (Light Detection and Ranging) available for most of Minnesota to create the seamless tree cover dataset. The LIDAR data was also used to create a Canopy Height Model (CHM) dataset that maps canopy heights across 73 counties in the state.

EarthDefine has previously released high-resolution tree canopy datasets that provide statewide coverage for Indiana and California. EarthDefine will continue to grow its SpatialCover Tree Canopy data product to cover more states over the next year by building on the best available orthoimagery and LIDAR data. For more information on EarthDefine products, please visit www.earthdefine.com.

Comments are closed.