Drone-based photogrammetry; exploring the balance between operator choices and technical parameters

By Teun Brandhoff

Abstract
The study explores the impact of pilot choices and technical parameters on the accuracy of photogrammetric products generated through drone-based data collection. Employing multiple pilots with varying levels of experience, the research assessed orthomosaics produced under controlled conditions using two different drones and sensors. Key metrics such as Root Mean Square Error (RMSE) and tie-point comparisons were used to evaluate spatial accuracy. Results indicate that while operator decisions—such as flight patterns and altitude adjustments—introduced minor variations, sensor capabilities and environmental conditions had more significant effects on the final product quality. The findings underscore the importance of advanced planning, standardized equipment use (for time series analysis), and consistent processing methodologies to optimize drone-derived geospatial outputs. Further research is recommended to evaluate environmental influences and integrate adaptive image processing techniques for enhanced data accuracy.

Keywords: Photogrammetry; Orthomosaic Accuracy; Operator Decisions; Structure from Motion (SfM)