Automating image-based cadastral boundary mapping

This Ph.D. research introduces an approach that simplifies image-based cadastral mapping. We develop an automated cadastral boundary delineation approach that is applicable to remote sensing data of high-resolution. The approach is designed for areas, in which boundaries are demarcated by physical objects and are thus visible. Areas for early development are European rural areas in France and Germany. Areas of later investigation are East African developing countries including Kenya, Rwanda, and Ethiopia. The data contain remote sensing data, as well as scripts and info on the method development.

Land administration, Computer science