Classifying Forest Stand Types in the Gifford Pinchot using Remote Sensing

Presenter Information

Nicholas Noble

Document Type

Oral Presentation

Campus where you would like to present

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

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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.