ABSTRACT
Remote sensing (RS) has proven to be an indispensable technology for urban studies because of its ability to frequently update (in a few weeks) the information of urban areas. Although RS includes airborne imagery, light detection and ranging (LIDAR), radio detection and ranging (RADAR) imagery, etc., this work limits its analysis to space-borne satellite imagery. This is because space-borne RS is a cost-effective alternative for urban land-use mapping and urban feature change detection, as compared to airborne imagery and LIDAR data (Weng and Quattrochi 2006, Netzband et al. 2007, Yang 2011).
