LOW ALTITUDE PHOTOGRAMMETRY FOR URBAN ROAD MAPPING

Road connection has high impact on the city development. It helps boost economic environment along road. Therefore, it is important to maintain and divide by their traffic flow road reserve well determine privilege of maintenance budget contribution for every year. opens up relation intercity urban as gives development To manage over country, geometry data needed decision making project management. The primary usually contributed field technical support persons, such surveyor, engineer, others conventional method survey, image road, computer aid drawing (cad data) built or topographical plan, others. This study proposes an mapping with optimal flight parameter flying low detail texture acquisition feature. ensures efficiency, cost, short cycle, strong maneuverability, convenient operation, a product. objective in out feature inside detailed digital orthophoto model (DOM) elevation (DEM). parameters unmanned aerial vehicle (UAV) requirements focal length effectiveness, planning preparation, lap percentage, UAV altitude, ground control point (GCP) distribution setup were outlined. investigated effect different effects, GCP shape-based network (pyramid square-, linear-based networks), altitude (90m, 65m, 35m), end percentage (90%, 80%, 70%) photogrammetry-derived 95m 65m altitudes gave lowest root mean square error (RMSE) value (±5cm horizontal ±8cm vertical). In addition, 80% consistently showed RMSE all options. Meanwhile, pyramid square-based recovered total 40% accuracy higher than square- networks. could help local authorities implement smart within region.