Application of UAV in Topographic Modelling and Structural Geological Mapping of Quarries and Their Surroundings—Delineation of Fault-Bordered Raw Material Reserves

A 3D surface model of an active limestone quarry and a vegetation-covered plateau was created using unmanned aerial vehicle (UAV) technique in combination with terrestrial laser scanning (TLS). The aim of the research was to identify major fault zones that dissect the inaccessible quarry faces and to prepare a model that shows the location of these fault zones at the entire study area. An additional purpose was to calculate reserves of the four identified lithological units. It was only possible to measure faults at the lowermost two meters of the quarry faces. At the upper parts of the quarry and on the vegetation-covered plateau where no field geological information was available, remote sensing was used. Former logs of core drillings were obtained for the modelling of the spatial distribution of four lithological units representing cover beds and various quality of limestone reserves. With the comparison of core data, field measurements and remote sensing, it was possible to depict major faults. Waste material volumes and limestone reserves were calculated for five blocks that are surrounded by these faults. The paper demonstrates that, with remote sensing and with localised control field measurements, it is possible: (a) to provide all geometric data of faults and (b) to create a 3D model with fault planes even at no exposure or at hardly accessible areas. The surface model with detected faults serves as a basis for calculating geological reserves.

[1]  Roberto Colombo,et al.  Rapid melting dynamics of an alpine glacier with repeated UAV photogrammetry , 2018 .

[2]  Shengxiang Huang,et al.  Ground Control Point-Free Unmanned Aerial Vehicle-Based Photogrammetry for Volume Estimation of Stockpiles Carried on Barges , 2019, Sensors.

[3]  Silvia Di Bartolo,et al.  Multitemporal Terrestrial Laser Scanning for Marble Extraction Assessment in an Underground Quarry of the Apuan Alps (Italy) , 2019, Sensors.

[4]  Marco Dubbini,et al.  Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments , 2013, Remote. Sens..

[5]  L. I. Martínez,et al.  DEM Generation from Fixed-Wing UAV Imaging and LiDAR-Derived Ground Control Points for Flood Estimations , 2019, Sensors.

[6]  Samuel T. Thiele,et al.  Review of drones, photogrammetry and emerging sensor technology for the study of dykes: Best practises and future potential , 2019, Journal of Volcanology and Geothermal Research.

[7]  Neal Snooke,et al.  High-accuracy UAV photogrammetry of ice sheet dynamics with no ground control , 2018, The Cryosphere.

[8]  Fabio Remondino,et al.  Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management , 2017 .

[9]  Mozhdeh Shahbazi,et al.  Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling , 2015, Sensors.

[10]  Peter Vörsmann,et al.  DEVELOPMENT OF A NEW MULTI-PURPOSE UAS FOR SCIENTIFIC APPLICATION , 2012 .

[11]  Andrea Adami,et al.  UAV-Based Photogrammetry and Integrated Technologies for Architectural Applications—Methodological Strategies for the After-Quake Survey of Vertical Structures in Mantua (Italy) , 2015, Sensors.

[12]  C. Bond,et al.  LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models , 2017 .

[13]  Roberto Tomás,et al.  Comparing manual and remote sensing field discontinuity collection used in kinematic stability assessment of failed rock slopes , 2017 .

[14]  D. Stead,et al.  A case study integrating remote sensing and distinct element analysis to quarry slope stability assessment in the Monte Altissimo area, Italy , 2014 .

[15]  Marek Kasprzak,et al.  Estimating snow water equivalent using unmanned aerial vehicles for determining snow-melt runoff , 2019, Journal of Hydrology.

[16]  Riccardo Salvini,et al.  SfM-MVS Photogrammetry for Rockfall Analysis and Hazard Assessment Along the Ancient Roman Via Flaminia Road at the Furlo Gorge (Italy) , 2019, ISPRS Int. J. Geo Inf..

[17]  A. Barsi,et al.  Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling , 2018 .

[18]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[19]  John S. Fardoulis,et al.  The use of unmanned aerial systems for the mapping of legacy uranium mines. , 2015, Journal of environmental radioactivity.

[20]  Wing Kong Chiu,et al.  Determination of the State of Strain of Large Floating Covers Using Unmanned Aerial Vehicle (UAV) Aided Photogrammetry , 2017, Sensors.

[21]  Markku Paananen,et al.  Virtual Structural Analysis of Jokisivu Open Pit Using 'Structure-from-Motion' Unmanned Aerial Vehicles (UAV) Photogrammetry: Implications for Structurally-Controlled Gold Deposits in Southwest Finland , 2018, Remote. Sens..

[22]  D. Giordan,et al.  Characterization and analysis of a translational rockslide on a stepped-planar slip surface , 2017 .

[23]  M. Seddaiu,et al.  The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling , 2017 .

[24]  Daniele Giordan,et al.  A Low-Cost Optical Remote Sensing Application for Glacier Deformation Monitoring in an Alpine Environment , 2016, Sensors.

[25]  Filiberto Chiabrando,et al.  UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications , 2015, Sensors.

[26]  Christian Heipke,et al.  Information from imagery: ISPRS scientific vision and research agenda , 2016 .

[27]  Matteo Crozi,et al.  Analysis by UAV Digital Photogrammetry of Folds and Related Fractures in the Monte Antola Flysch Formation (Ponte Organasco, Italy) , 2018, Geosciences.

[28]  F. Rapisarda,et al.  Rockfall hazard assessment along a road on the Peloritani Mountains (northeastern Sicily, Italy) , 2013 .

[29]  Á. Török,et al.  Correlation of Tethyan and Peri-Tethyan long-term and high-frequency eustatic signals (Anisian, Middle Triassic) , 2008 .

[30]  Á. Török,et al.  Muschelkalk ramp cycles revisited , 2018 .

[31]  A. Kaiser,et al.  Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV , 2015 .

[32]  J. Langhammer UAV Monitoring of Stream Restorations , 2019, Hydrology.

[33]  Jerome P. Lynch,et al.  Lessons Learned from the Application of UAV-Enabled Structure-From-Motion Photogrammetry in Geotechnical Engineering , 2018 .

[34]  Lorenzo Comba,et al.  Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture , 2018, Comput. Electron. Agric..

[35]  D. Passoni,et al.  FORENSIC ENGINEERING SURVEYS WITH UAV PHOTOGRAMMETRY AND LASER SCANNING TECHNIQUES , 2019 .

[36]  D. Tannant Review of Photogrammetry-Based Techniques for Characterization and Hazard Assessment of Rock Faces , 2015 .

[37]  A. Kaiser,et al.  Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys , 2016 .

[38]  Theodora Lendzioch,et al.  UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions , 2017, Remote. Sens..

[39]  D. Zekkos,et al.  Analysis of slope instabilities in the Corinth Canal using UAV-enabled mapping , 2019 .

[40]  T. Niedzielski,et al.  Observing river stages using unmanned aerial vehicles , 2016 .

[41]  F. Nex,et al.  Automated processing of high resolution airborne images for earthquake damage assessment , 2014 .

[42]  D. Giordan,et al.  Landslide hazard, monitoring and conservation strategy for the safeguard of Vardzia Byzantine monastery complex, Georgia , 2015, Landslides.

[43]  Damian Wierzbicki,et al.  Multi-Camera Imaging System for UAV Photogrammetry , 2018, Sensors.

[44]  Xi-wei Xu,et al.  High-resolution mapping based on an Unmanned Aerial Vehicle (UAV) to capture paleoseismic offsets along the Altyn-Tagh fault, China , 2016, Scientific Reports.

[45]  S. Campana Drones in Archaeology. State‐of‐the‐art and Future Perspectives , 2017 .

[46]  Claudio Margottini,et al.  The Contribution of Terrestrial Laser Scanning to the Analysis of Cliff Slope Stability in Sugano (Central Italy) , 2018, Remote. Sens..

[47]  Á. Török Controls on development of Mid-Triassic ramps: examples from southern Hungary , 1998, Geological Society, London, Special Publications.

[48]  Tomasz Niedzielski,et al.  Fully-automated estimation of snow depth in near real time with the use of unmanned aerial vehicles without utilizing ground control points , 2017 .

[49]  B. Koch,et al.  UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS – TREE STEM MAPPING IN OPEN STANDS IN COMPARISON TO TERRESTRIAL LASER SCANNER POINT CLOUDS , 2013 .

[50]  A. García-Ferrer,et al.  Reconstruction of extreme topography from UAV structure from motion photogrammetry , 2018, Measurement.