Title

Classifying Forest Stand Types in the Gifford Pinchot using Remote Sensing

Presenter Information

Nicholas Noble

Document Type

Oral Presentation

Location

SURC Ballroom C/D

Start Date

16-5-2013

End Date

16-5-2013

Abstract

Over the decades logging has been a part of the landscape. From the 1940s to 1980s, foresters used the plantation method for logging. This was making 15 hectare clear cuts throughout the forest. In this study, I focus on the Gifford Pinchot National Forest located just south of the Mount Rainer. I will use a combination of Landsat images, GIS vegetation layers, United States Forest Service (USFS) vegetation database information, and ground-truthing techniques to determine the different types of forest stand types. The major classifications for the different stand types are: old growth, second growth, new growth, clears cuts and bare earth/water. With remote sensing techniques using ERDAS and GIS, I will determine these different stand types. This project will give us a better understanding of the forest dynamics and give us a detailed map of what forest we have and where it is.

Poster Number

21

Faculty Mentor(s)

Jennifer Lipton

Additional Mentoring Department

Geography

This document is currently not available here.

Share

COinS
 
May 16th, 2:15 PM May 16th, 4:44 PM

Classifying Forest Stand Types in the Gifford Pinchot using Remote Sensing

SURC Ballroom C/D

Over the decades logging has been a part of the landscape. From the 1940s to 1980s, foresters used the plantation method for logging. This was making 15 hectare clear cuts throughout the forest. In this study, I focus on the Gifford Pinchot National Forest located just south of the Mount Rainer. I will use a combination of Landsat images, GIS vegetation layers, United States Forest Service (USFS) vegetation database information, and ground-truthing techniques to determine the different types of forest stand types. The major classifications for the different stand types are: old growth, second growth, new growth, clears cuts and bare earth/water. With remote sensing techniques using ERDAS and GIS, I will determine these different stand types. This project will give us a better understanding of the forest dynamics and give us a detailed map of what forest we have and where it is.