First Advisor

David Banis

Date of Award

1-4-2023

Document Type

Report

Degree Name

Master of Science (M.S.) in Geographic Information Science

Department

Geography

Language

English

Abstract

In order to fulfill Tree Risk Assessment Qualification (TRAQ) certification obligations to the International Society of Arboriculture (ISA), this project delineated areas within Hoyt Arboretum where tree hazards have the potential to fall on important infrastructure and areas of frequent use. The project utilized Metro’s RLIS lidar data to generate a canopy height model which was then applied to a variable window filter (vwf) algorithm to determine individual tree heights and locations throughout the park. Previously defined protection areas were used to determine which surrounding trees have the potential to damage structures or injure park visitors in the chance of a tree failure. The resulting tree population subset was added to a web map portal to generate work orders for annual and seasonal tree risk assessments.

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Comments

A GIS practicum report submitted in partial fulfillment of the requirements for the degree of Master of Science In Geographic Information Science.

Persistent Identifier

https://archives.pdx.edu/ds/psu/41701

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