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Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy

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Abstract

In open-pit mines, monitoring of topographic and volumetric changes through time is found to be of great importance to support excavation stages and to plan rehabilitation strategies. In this work, we describe a geomatic approach to assess changes in surface mine extent and to quantify excavated volume in the Sa Pigada open-pit mine, Sardinia, Italy. We performed two drone-based photogrammetric surveys in 2013 and 2015, and by means of the Structure from Motion (SfM) technique, we obtained related 3D dense point clouds and digital orthophotos. Images were georeferenced thanks to a series of ground control points surveyed with geodetic GPS. Distances between the two clouds were estimated with the recent Multiscale Model to Model Cloud Comparison (M3C2) plug-in included in the CloudCompare open-source software. Starting from cloud-to-cloud distances, we calculated the excavated volume of mineral resources between the two surveys. Results of the M3C2 comparison supported the analysis of the two orthophotos, through which accurate limits of the 2013 and 2015 active mine areas, rehabilitated area and temporary dumps were identified and drawn in a digital map. Results obtained in this study suggest that the applied geomatic techniques are suitable for performing accurate change detection analysis in open-pit environments and represent a valid support for scientists and technicians allowing to monitor with high spatial and temporal resolutions. This approach can be also considered a valid tool to reduce environmental impact from mining.

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References

  • Agisoft (2016) Agisoft PhotoScan User Manual Professional Edition, Version 1.2.3

  • Borradaile GJ (2003) Statistics of earth science data: their distribution in space, time, and orientation. Springer-Verlag Berlin Heidelberg, XXVII, pp. 351, eBook ISBN: 978-3-662-05223-5. doi:10.1007/978-3-662-05223-5

  • Brasington J, Langham J, Rumsby B (2003) Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport. Geomorphology 53:299–316

    Article  Google Scholar 

  • Brodu N, Lague D (2012) 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology. ISPRS J Photogramm Remote Sens 68:121–134

    Article  Google Scholar 

  • Carmignani L, Conti P, Funedda A, Oggiano G, Pasci S (2012) La geologia della Sardegna. Geological field trips: 4,2.2, pp. 104. doi:10.3301/GFT.2012.04

  • Chen J, Li K, Chang K, Sofia G, Tarolli P (2015) Open-pit mining geomorphic feature characterization. Int J Appl Earth Obs Geoinf 42:76–86

    Article  Google Scholar 

  • Cherchi A, Montadert L (1982) Il sistema di rifting Oligo-Miocenico del Mediterraneo occidentale e sue conseguenze paleogeografiche sul terziario Sardo. Mem Soc Geol It 24:387–400

    Google Scholar 

  • CloudCompare - 3D point cloud and mesh processing software Open Source Project, 2016. http://www.danielgm.net/cc/. Accessed 07 Apr 2016

  • Colomina I, Molina P (2014) Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS J Photogramm Remote Sens 92:79–97

    Article  Google Scholar 

  • Colomina I, Blázquez M, Molina P, Parés M, Wis M (2008) Towards a new paradigm for high-resolution low-cost photogrammetry and remote sensing. Int Arch Photogramm Remote Sens Spatial Inform Sci XXXVII(B1):1201–1206

    Google Scholar 

  • De Rose RC, Basher LR (2011) Measurement of river bank and cliff erosion from sequential LIDAR and historical aerial photography. Geomorphology 126:132–147

    Article  Google Scholar 

  • Eisenbeiss H (2009). UAV photogrammetry. Ph.D. Dissertation, Institute of Geodesy and Photogrammetry, ETH Zurich, Switzerland, Mitteilungen N.105, p. 235

  • Emel J, Plisinski J, Rogan J (2014) Monitoring geomorphic and hydrologic change at mine sites using satellite imagery: the Geita Gold Mine in Tanzania. App Geogr 54:243–249

    Article  Google Scholar 

  • Firpo G, Salvini R, Francioni M, Ranjith PG (2011) Use of digital terrestrial photogrammetry in rock slope stability analysis by distinct element numerical methods. Int J Rock Mech Min Sci 48:1045–1054

    Article  Google Scholar 

  • Fonstad MA, Dietrich JT, Courville BC, Jensen JL, Carbonneau PE (2013) Topographic structure from motion: a new development in photogrammetric measurement. Earth Surf Proc Land 38:421–430

    Article  Google Scholar 

  • Francioni M, Salvini R, Stead D, Litrico S (2014) A case study integrating remote sensing and distinct element analysis to quarry slope stability assessment in the Monte Altissimo area, Italy. Eng Geol 183:290–302

    Article  Google Scholar 

  • Francioni M, Salvini R, Stead D, Giovannini R, Riccucci S, Vanneschi C, Gullì D (2015) An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: slope stability assessment through kinematic and numerical methods. Comput Geotech 67:46–63

    Article  Google Scholar 

  • Funedda A, Oggiano G, Pasci S (2000) The Logudoro basin, a key area for the tectono-sedimentary evolution of North Sardinia. Boll Soc Geol Ital 119(1):31–38

    Google Scholar 

  • Gonçalves JA, Henriques R (2015) UAV Photogrammetry for topographic monitoring of coastal areas. ISPRS J Photogramm Remote Sens 104:101–111

    Article  Google Scholar 

  • Heritage G, Milan D, Large A, Fuller I (2009) Influence of survey strategy and interpolation model on DEM quality. Geomorphology 112:334–344

    Article  Google Scholar 

  • Jaud M, Passot S, Le Bivic R, Delacourt C, Grandjean P, Le Dantec N (2016) Assessing the accuracy of high resolution digital surface models computed by PhotoScan® and MicMac® in sub-optimal survey conditions. Remote Sens 8:465

    Article  Google Scholar 

  • Karuppasamy S, Sudalayandi K, Karthiga R, Divya C (2016) Surface area estimation, volume change detection in lime stone quarry, Tirunelveli District using Cartosat-1 generated digital elevation model (DEM). Circuits Syst 7:849–858

    Article  Google Scholar 

  • Lague D, Brodu N, Leroux J (2013) Accurate 3D comparison of complex topography with terrestrial laser scanner: application to the Rangitikei canyon (N-Z). ISPRS J Photogramm Remote Sens 82:10–26

    Article  Google Scholar 

  • Mancini F, Dubbini M, Gattelli M, Stecchi F, Fabbri S, Gabbianelli G (2013) Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: the structure from motion approach on coastal environments. Remote Sens 5:6880–6898

    Article  Google Scholar 

  • Mastrorocco G, Vanneschi C, Salvini R, Coltorti M, Mazzurco L (2015) SAPR photogrammetry for the study of damaging hydrogeological events: the example of Ripa Bianca natural reserve, Esino River (Marche, Italy). Rendiconti online Soc Geol Ital 35:204–207

    Article  Google Scholar 

  • Orsini JB, Coulon C, Cocozza T (1980) Dérive cénozoique de la Corse et de la Sardaigne et ses marqueurs géologiques. Geol Mijnbouw 59(4):385–396

    Google Scholar 

  • Paradella WR, Ferretti A, Mura JC, Colombo D, Gama FF, Tamburini A, Santos AR, Novali F, Galo M, Camargo PO, Silva AQ, Silva GG, Silva A, Gomes LL (2015) Mapping surface deformation in open pit iron mines of Carajás Province (Amazon Region) using an integrated SAR analysis. Eng Geol 193:61–78

    Article  Google Scholar 

  • Passalacqua P, Belmont P, Staley DM, Simley JD, Arrowsmith JR, Bode CA, Crosby C, DeLong SB, Glenn NF, Kelly SA, Lague D, Sangireddy H, Schaffrath K, Tarboton DG, Wasklewicz T, Wheaton JM (2015) Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: a review. Earth Sci Rev 148:174–193

    Article  Google Scholar 

  • Petley D (2015a) Shanyang County, Shaanxi: another mining-related landslide disaster in China. The Landslide blog—AGU blogosphere. http://blogs.agu.org/landslideblog/2015/08/12/shanyang-county-1/. Accessed 19 July 2016

  • Petley D (2015b) The Shenzhen, Guangdong landslide: a massive flowslide in construction waste. The Landslide blog—AGU blogosphere. http://blogs.agu.org/landslideblog/2015/12/22/the-shenzhen-guangdong-landslide-a-massive-flowslide-in-construction-waste/. Accessed 19 July 2016

  • Salvini R, Riccucci S, Gullì D, Giovannini R, Vanneschi C, Francioni M (2015a) Geological Application of UAV Photogrammetry and Terrestrial Laser Scanning in Marble Quarrying (Apuan Alps, Italy). In: Lollino G., Manconi A., Guzzetti F., Culshaw M., Bobrowsky P. and Luino F. (eds) Engineering geology for society and territory—Vol 5 urban geology, sustainable planning and landscape exploitation, pp 979–984

  • Salvini R, Vanneschi C, Riccucci S, Francioni M, Gullì D (2015b) Application of an integrated geotechnical and topographic monitoring system in the Lorano marble quarry (Apuan Alps, Italy). Geomorphology 241:209–233

    Article  Google Scholar 

  • Salvini R, Mastrorocco G, Seddaiu M, Rossi D, Vanneschi C (2016) The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modeling. Nat Hazard Risk, Geomat. doi:10.1080/19475705.2016.1199053

    Google Scholar 

  • Simmons JA, Currie WS, Eshleman KN, Kuers K, Monteleone S, Negley TL (2008) Forest to reclaimed mine land use change leads to altered ecosystem structure and function. Ecol Appl 18:104–118

    Article  Google Scholar 

  • Spetsakis ME, Aloimonos Y (1991) A multi-frame approach to visual motion perception. Int J Comput Vision 6:245–255

    Article  Google Scholar 

  • Staley D, Wasklewicz TA, Kean JW (2014) Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data. Geomorphology 214:324–338

    Article  Google Scholar 

  • Tannant D (2015) Review of photogrammetry-based techniques for characterization and hazard assessment of rock faces. Int J Geohazards Environ 1:76–87

    Article  Google Scholar 

  • Tarolli P, Sofia G (2016) Human topographic signatures and derived geomorphic processes across landscapes. Geomorphology 255:140–161

    Article  Google Scholar 

  • Thoeni K, Giacomini A, Murtagh R, Kniest E (2014) A comparison of multi-view 3D reconstruction of a rock wall using several cameras and a laser scanner. In: Proceedings of ISPRS technical commission V symposium, Riva del Garda, Italy, pp. 23–25

  • Townsend PA, Helmers DP, Kingdon CC, McNeil BE, de Beurs KM, Eshleman KN (2008) Changes in the extent of surface mining and reclamation in the Central Appalachians: 1976–2006. Remote Sens Environ 113:62–72

    Article  Google Scholar 

  • Westphal M, Orsini JB, Vellutini P (1976) Le microcontinent corso-sarde, sa position initiale: données paléomagnétiques et raccords géologiques. Tectonophys 30:141–157

    Article  Google Scholar 

  • Wheaton JM, Brasington J, Darby SE, Sear D (2010) Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets. Earth Surf Process Landf 35(2):136–156

    Google Scholar 

  • Wolf PR, Dewitt BA (2000) Elements of photogrammetry with applications in GIS, 3rd edn. McGraw-Hill Professional, Boston

    Google Scholar 

  • Young AP, Ashford SA (2006) Application of airborne LiDAR for sea cliff volumetric change and beach-sediment budget contributions. J Coast Res 22:307–318

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge managers and technicians of the Sa Pigada Bianca open-pit mine (Argillitti s.r.l.) for their collaboration, and Menci Software s.r.l. for its support during the first UAV survey.

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Authors and Affiliations

  1. Department of Environment, Earth and Physical Sciences and Centre of GeoTechnologies, University of Siena, Via Vetri Vecchi 34, 52027, San Giovanni Valdarno, AR, Italy

    Giuseppe Esposito, Giovanni Mastrorocco, Riccardo Salvini & Matilde Oliveti

  2. EurGeol. Paolo Starita - Mining Consultant, Via Torino 42, 55045, Marina di Pietrasanta, LU, Italy

    Paolo Starita

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  1. Giuseppe Esposito
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  2. Giovanni Mastrorocco
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  3. Riccardo Salvini
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  4. Matilde Oliveti
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  5. Paolo Starita
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Correspondence to Giuseppe Esposito.

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Esposito, G., Mastrorocco, G., Salvini, R. et al. Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy. Environ Earth Sci 76, 103 (2017). https://doi.org/10.1007/s12665-017-6409-z

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