First Advisor

Jiunn-Der (Geoffrey) Duh

Date of Award


Document Type


Degree Name

Master of Science (M.S.) in Geography




Remote-sensing images, Image processing, Topographical surveying




Satellite imagery is commonly used to study land-use, land-cover change in mountainous areas. Classification of land-cover types is particularly difficult in this type of terrain because topography affects the spectral response of surface features. Several techniques have been developed to help compensate for this topographic effect and to increase classification accuracy.

The purpose of this study is to compare topographic correction methods to determine which produces the most accurate results. Method 1 does not use any topographic correction, serving as a control. Method 2 is based on the Lambertian model, and uses topographical data as variables in an equation. Method 3 adds an aspect band and a vegetation index band to the image prior to classification. Both of these latter methods produced significantly more accurate results than the control (method 1) in the classification of agricultural lands, but did not improve accuracy in forestland classification.


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A research paper submitted in partial fulfillment of the requirements for the degree of Master of Science in Geography.

Persistent Identifier