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i-Tree CANOPY and i-Tree DESIGN Online Workshops, Oct 19th

Join the i-Tree Development Team for a look at the CANOPY and DESIGN tools.

Please join us for a comprehensive web-based instructional series that will introduce the latest tools in the i-Tree software suite, as well as bring you up to date on the improvements that have been made to the i-Tree collection of inventory, analysis and reporting tools for urban and community forests. i-Tree is a state-of-the-art, peer-reviewed software suite from the USDA Forest Service that provides urban forestry analysis and benefits assessment tools. The i-Tree Tools help communities of all sizes to strengthen their urban forest management and advocacy efforts by quantifying the structure of community trees and the environmental services that trees provide.

This session will demonstrate the latest updates to i-Tree Design and i-Tree Canopy software tools.

i-Tree Design allows anyone to make a simple estimation of the benefits provided by individual trees. With inputs of location, species, tree size, and condition, users will receive an understanding of tree benefits related to greenhouse gas mitigation, air quality improvements, and stormwater interception. With the additional step of drawing a building footprint – and virtually “planting” or placing a tree – tree effects on building energy use can be evaluated.

Using i-Tree Canopy a user can estimate tree cover and tree benefits for a given area with a random sampling process that lets users easily classify ground cover types. With i-Tree Canopy, you review Google Maps aerial photography at random points to conduct a cover assessment within a defined project area. You draw your project area boundaries right onto Google Maps or you load an ESRI polygon shapefile in latitude / longitude coordinates. i-Tree Canopy randomly generates sample points and zooms to each one so you can choose from your pre-defined list of cover types for that spot.

PRE-REGISTRATION is required to join the workshop.  Please visit https://goo.gl/Gfi62x to register.

Northern Research Station
United States Department of Agriculture
USDA Forest Service

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