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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 …