Building collapse incidents have become quite common in different parts of the world. Even though several reasons and causes have been identified for these incidents, their impact on the environment has not reduced. If proper maintenance and repair works are carried out in time, the risks may be minimized. In this study, a geospatial approach has been developed to identify the hazardous buildings with basic structural properties for municipal areas. Various thematic layers are generated on GIS platform, such as types of building, material of construction, structural defects, age of the building, and number of floors from both satellite imagery and field visit using GPS. Methodology adopted was weighted overlay approach through multi-criteria decision analysis (MCDA). Four models were developed to identify hazardous building zonation (HBZ) using expert opinions from various civil engineers. The results have been validated by conducting field tests using nondestructive testing, i.e, rebound hammer test and ultrasonic pulse velocity (UPV) test on various hazardous buildings. Hence, using geospatial tools (remote sensing, GIS, and GPS), local government and decision makers such as civil engineers and planners can identify the risk involved buildings in an area, so that suitable measures can be adopted to reduce the probable chance of failure or any damage to those buildings. © 2015, King Fahd University of Petroleum & Minerals.