Texture-space segmentation and multi-resolution mapping for forestry applications

Abstract

Forestry management requires careful and intensive planning efforts to ensure optimal yield, ecological stability, and regulatory compliance. In this paper, we describe a method of identifying wetlands and producing maps of their extent from commonly available, remotely-sensed imagery. This method provides a large labor savings over both field inspections and manual photo inspections. The enhanced accuracy translates into better timber harvest planning and better conservation of the wetlands.