Italy is facing a rising decline in population and a consequent increase in building vacancy, particularly in remote shrinking villages that are distant from mega urban centers. A lack of administrative capacity curtails the ability of local governments to conduct door to door surveys to identify vacant lots and measure the rate of building decline. This research creates a spatial metric for identifying building abandonment using visual recognition techniques and visual indicators, and profiles building occupancy along a spectrum of complete occupation to complete ruination, to help local governments in remote villages quantify rate of decline. It does so by creating a process of crowdsourcing qualitative and quantitative data, creating methods to ground truth the data, and generate ideas regarding abandoned properties through an integrated web platform. This study was conducted using the data gathered from a field visit to Centuripe, Sicily, and with the help of a survey of 50 lots collected by local stakeholders. The project used statistical methods to process quantitative data including principal component analysis for detecting clusters of visual indicators, and further visualized the data using interactive mapping.