Physical and Environmental Geography Commons^™

Comparing Pixel- And Object-Based Classification Methods For Determining Land-Cover In The Gee Creek Watershed, Washington, Tyler Vick

Geography Masters Research Papers

This study analyzes land-cover types in the Gee Creek Watershed of southern Washington using the pixel-based and object-based image analysis approaches. Landsat imagery has traditionally been used for pixel-based classification and change detection in land-cover studies. In recent years, the availability of high-resolution satellite and aerial imagery have enabled for land-cover classification to occur at scales not possible using traditional Landsat imagery. High-resolution aerial imagery of 1 meter or greater has become readily available for free. Yet, commonly found black and white (or panchromatic) aerial imagery is without the multiple spectrum bands found in Landsat imagery, thereby limiting the accuracy …

Methods For Correcting Topographically Induced Radiometric Distortion On Landsat Thematic Mapper Images For Land Cover Classification, David Michael Rosen

Geography Masters Research Papers

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 …