Drone-Enabled Geospatial Infrastructure Management for Buildings at the Federal Polytechnic Ilaro

This paper discusses the development of the Geospatial Building Information Infrastructure (GBII) for the developing Federal Polytechnic in Ilaro, Nigeria. It demonstrates how participants in interdisciplinary building projects, such as surveyors, engineers, and architects, can collaborate effectively using the same digital model. Model visualization and design coordination improve when data from multiple sources are merged into a single model. This allows for more informed decisions about costs and resource allocation. To obtain high-quality geospatial data, Global Navigation Satellite System (GNSS) surveying techniques were combined with Unmanned Aerial Vehicle (UAV) data captured. Field surveys were first carried out to maximize the effectiveness of the flight procedure and establish the best placement of GCPs. Preliminary satellite imagery analysis helped design UAV flight paths and select the potential GCP location in the study area. Before data collection, the instrument's test was done to ensure its good working condition. Spatial datasets were collected using a Tarsus Oscar GNSS device for the GCPs and a DJI Phantom 4 Pro V2 UAV for the aerial photos. Digital surface model (DSM) and Digital terrain model (DTM) maps were derived from the image processed using the software. The output maps reveal images of surfaces and the topography. All acquired datasets were visualized using the ArcGIS 10.6 system for mapping and analysis. The incorporation of UAV data in GBII improved data accuracy and visualization, and it has proven to be an efficient method.