The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 637–641, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-637-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 637–641, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-637-2019

  04 Jun 2019

04 Jun 2019

EVALUATION OF CAMERA POSITIONS AND GROUND POINTS QUALITY IN A GNSS-NRTK BASED UAV SURVEY: PRELIMINARY RESULTS FROM A PRACTICAL TEST IN MORPHOLOGICAL VERY COMPLEX AREAS

E. Tufarolo1, C. Vanneschi2, M. Casella3, and R. Salvini1 E. Tufarolo et al.
  • 1Department of Environment, Earth and Physical Sciences and Centre of Geotechnologies, University of Siena, Via Vetri Vecchi 34, 52027 San Giovanni Valdarno, Italy
  • 2CGT Spinoff s.r.l., Strada Provinciale delle Miniere, Polo Industriale di Bomba, 52022 Cavriglia, Italy
  • 3AeroDron s.r.l., Via Cremonese 35/A, 43126 Parma, Italy

Keywords: UAV, Network Real Time Kinematic, Photogrammetry, Structure-from-Motion, Open Pit Mine, Positional accuracy assessment

Abstract. Open pit mines localized in high mountains are probably one of the most complex environments for Structure-From-Motion (SfM) based photogrammetry. The case study presented in this paper refers to the realization of a detailed topographic mapping in the Torano marble basin (Apuan Alps, Italy) which needed, after decades of excavation activity, a new topographic survey.

Given the requested very high resolution, the time constraints and safety-related problems, a photogrammetric approach by a fixedwing Unmanned Aerial Vehicle (UAV) was chosen to carry out thesurvey of the basin. In addition, given the morphological complexity of the area, characterized by extreme steep slopes more than hundreds of meters high, and the necessity to minimize the fieldwork without sacrificing the work quality, an UAV equipped with a L1/L2 Network Real Time Kinematic (NRTK) Global Navigation Satellite System (GNSS) was used.

The scope of this work is to compare the accuracy of UAV derived 3D photogrammetric models realized with different approaches: by using traditional Ground Control Points (GCPs), by using the on-board Network Real Time Kinematic system for camera position detection, and a mix of both. At the end, we tested the quality of the models to verify the reachable levels of accuracy.