i-Tree Eco

i-Tree Eco

Application Overview

Complete Inventory

Sample Inventory

International

International

International

Since i-Tree was first introduced in 2006, there has been great interest from the international community to apply the i-Tree tools outside the United States. Numerous i-Tree projects utilizing the Urban Forest Effects (UFORE) model have since been completed by municipal governments, universities, students and consultants in cities across the world including China, Italy, Canada, Spain, Chile, Russia and more

International i-Tree users are advised to use i-Tree Eco for urban forest assessment projects as i-Tree Streets, (STRATUM) is less adaptable for international applications.

We intend on utilizing the Eco International pages to compile and present information to help those outside the United States who are considering or are in the process of conducting i-Tree Eco projects. Please also visit the Resources-Archives section of the website for additional Eco resources

i-Tree Eco International Versions Summary - A technical summary describing data requirements and limitations for international applications of the i-Tree Eco model.

i-Tree Eco International Input Manual - A manual providing instructions for populating the international Input Form. Note- the International Input Manual & Form are not required for typical Eco international projects and are only used if users are intested in researching and providing data needed for improving the model functionality within their own country.

i-Tree Eco International Input Form - A spreadsheet used in conjunction with the Eco International Input Manual for data needed to make the Eco model more applicable outside the U.S.

i-Tree Eco Pollution data requirements - Document describing data and formatting requirements for international pollution data needed for the i-Tree Eco analysus.

Eco Pollution Data Example - This Excel file is provided as an example of hourly air pollution data which Eco users outside the United States will need to provide for analysis with their field data.