Abstract

Refining an Automated Model for Landform Classification
Track: Research & Sciences
Authors: Josh Moss

A geomorphologic landform classification is useful as a mapping guideline for environmental planning applications. Models based on digital elevation models (DEMs) are not available as tools for ArcGIS and introduce errors in the landform layer. This paper presents an improved method of classifying landforms from DEMs, as well as a tool for ArcGIS that automates the process. Results are evaluated by use of an error matrix, verifying model output with landforms identified by photo interpretation.