Geographical databases such as OpenStreetMap (OSM) are continuously evolving to reflect ground-level transformations. Identifying and characterizing these changes is a key challenge for analyzing evolution over time. While several works have analyzed OSM edit history, the semantic interpretation of changes and the ability to distinguish genuine ground-level evolution from data refinements, tagging corrections, or modeling decisions, remains largely unaddressed. For planners relying on OSM, distinguishing real infrastructure changes from editing artifacts is critical. We address this challenge through two contributions: a web application to explore change dynamics and a methodology for semantic annotation and interpretation of edits.