Digital 3D Rocks: A Collaborative Benchmark for Learning Rocks Recognition

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References

  1. Benton J (2014) The magic al growth of an online gigapan repository for geoscience education. In: 2014 GSA annual meeting in Vancouver, BC, Canada

  2. Deere DU, Miller RP (1966) Engineering classification and index properties for intact rock, Technical report No. AFWL-TR-65-116. https://apps.dtic.mil/docs/citations/AD0646610

  3. Dunham RJ (1962) Classification of carbonate rocks according to depositional textures. In: Ham WE (ed) Classification of carbonate rocks. AAPG, Tulsa, pp 108–121

    Google Scholar 

  4. Folk RL (1980) Petrology of sedimentary rocks. Hemphill Publishing Company, Austin

    Google Scholar 

  5. Goodman RE (1989) Introduction to rock mechanics, 2nd edn. Wiley, New York

    Google Scholar 

  6. Hudson Institute of Mineralogy (1993) Mineralogy Database - mineral collecting, localities, mineral photos and data. Recuperado 24 de noviembre de 2017. http://www.mindat.org/

  7. Imperial College London (2013). Imperial College Rock Library [WWW Document]. https://wwwf.imperial.ac.uk/earthscienceandengineering/rocklibrary/glossary.php. Accessed 01 Nov 2017

  8. Lato MJ, Bevan G, Fergusson M (2012) Gigapixel imaging and photogrammetry: development of a new long range remote imaging technique. Remote Sens 4:3006–3021. https://doi.org/10.3390/rs4103006

    Article  Google Scholar 

  9. Le Bas MJ, Streckeisen AL (1991) The IUGS systematics of igneous rocks. J Geol Soc Lond 148:825–833. https://doi.org/10.1144/gsjgs.148.5.0825

    Article  Google Scholar 

  10. Le Maitre RW, Streckeisen AL, Zanettin B, Le Bas MJ, Bonin B, Bateman P, Bellieni G, Dudek A, Efremova S, Keller J, Lameyre J, Sabine PA, Schmid R, Sorensen H, Woolley AR (2002) Igneous rocks: a classification and glossary of terms: recommendations of the international union of geological sciences subcommission on the systematics of igneous rocks, 2nd edn. Cambridge University Press, Cambridge

    Book  Google Scholar 

  11. Lee H, Mostegel C, Fraundorfer F, Kieffer DS (Accepted/In press) GigaPan image-based 3D reconstruction for engineering geological investigation. Poster session presented at 66th Geomechanics Colloquium, Salzburg, Austria

  12. Michna P (1995) Earth science Australia [WWW Document]. http://www.earthsci.org/index.html

  13. Riquelme A, Cano M, Tomás R, Jordá L, Santamarta Cerezal J (2016) Petrología 3D. In: XIV Jornadas de Redes de Investigación En Docencia Universitaria. Investigación, Innovación y Enseñanza Universitaria: Enfoques Pluridisciplinares. Vicerrectorado de Calidad e Innovación Educativa, Universidad de Alicante, Alicante, Spain, pp 799–812

  14. Schroeder R (1996) Possible worlds: the social dynamic of virtual reality technology. Westview Press, Inc., Boulder

    Google Scholar 

  15. Streckeisen A (1974) Classification and nomenclature of plutonic rocks recommendations of the IUGS subcommission on the systematics of Igneous Rocks. Geol Rundsch 63:773–786. https://doi.org/10.1007/BF01820841

    Article  Google Scholar 

  16. Tarbuck E, Lutgens F (2015) Earth science, 14th edn. Pearson, Upper Saddle River, New Jersey, USA

    Google Scholar 

  17. The United States Federal Highway Administration (1991) Rock and mineral identification for engineers. US Dept. of Transportation, Federal Highway Administration, Washington

    Google Scholar 

  18. Tucker ME, Wright VP, Dickson JAD (2009) Carbonate sedimentology. Blackwell Science Ltd., Oxford. https://doi.org/10.1002/9781444314175

    Book  Google Scholar 

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Acknowledgements

This work was partially funded by the University of Alicante (vigrob-157 Project, GRE14-4, GRE15-19 and GRE17-011 Projects), the Spanish Ministry of Economy and Competitiveness (MINECO) and EU FEDER under Projects TIN2014-55413-C2-2-P and TEC2017-85244-C2-1-P. Authors thank Ignacio Pérez-Rey and Leandro Alejano for the description of some samples. Finally, we acknowledge Mrs. Sophie Krzesniak for the English language revision and correction of this manuscript.

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Contributions

AR scanned most of the rocks, programmed the website and wrote and supervised the manuscript. RT described part of the rock specimens, wrote and revised the manuscript along with the website. MC described part of the rock specimens, wrote and revised the manuscript along with the website and created the behavioural datasheet and collected most of the mechanical values of the rock samples. LJ scanned part of the rock specimens and described them, wrote and revised the manuscript along with the website. DB revised all the definitions of the rocks, wrote and revised the manuscript. JLP described part of the rock specimens, wrote and revised the manuscript along with the website.

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Correspondence to Adrián Riquelme.

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Riquelme, A., Cano, M., Tomás, R. et al. Digital 3D Rocks: A Collaborative Benchmark for Learning Rocks Recognition. Rock Mech Rock Eng 52, 4799–4806 (2019). https://doi.org/10.1007/s00603-019-01843-3

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Keywords

  • Geology
  • Remote sensing
  • Computer graphics