660
For future work, the authors aim to purchase the appropriate sensors that cover the indicated bands through statistical analysis.
REFERENCES
Bamford, T., Esmaeili, K., Schoellig, A. 2017. Aerial Rock Fragmentation Analysis in Low-Light Condition Using UAV Technology. In: 38th Application of Computers and Operations Research in the
Mineral Industry. Golden. p. 4_1–4_8.
Beretta, F., Peroni, R., Costa, J.F. 2017. Stockpile volumetric survey using aircraft imagery in comparison with traditional methods. In: 38th Application of Computers and Operations Research in the
Mineral Industry. Golden, p. 4_9–4_15.
Beretta, F., Rodrigues, A., Peroni, R., Costa, J.F. 2019. Using UAV for Automatic Lithological Classification of Open Pit Mining Front. REM—International Engineering Journal. v. 72 N.1.
Dalm, M., Buxton, N., Ruitenbeek, A. 2017. Discriminating ore and waste in a porphyry copper
deposit using short-wavelength infrared (SWIR) hyperspectral imagery. Minerals Engineering, v.105:
p. 10–18.
Ehrenfeld, A., Egaña, A., Guerrero, P., Liberman, S., Hanna, V., Voisin, L., Adams, M. 2017. Geometallurgical variables characterization using hyperspectral images and machine learning technics. In:
38th Application of Computers and Operations Research in the Mineral Industry, Golden, p. 6_1–6_6.
Hugenholtz, C.H., Whitehead, K., Brown, O., Barchyn, T., Moorman, B., LeClair, A., Riddel, K., Hamilton, T. 2013. Geomorphological Mapping with a Small Unmanned Aircraft System (sUAS): Feature Detection and Accuracy Assessment of a Photogrammetrically-Derived Digital Terrain Model.
Geomorphology v. 194, p. 16–24, Retrieved (http://dx.doi.org/10.1016/j.geomorph.2013.03.023).
Peroni, R. 2016. Aplicações de mapeamento e modelagem de terreno com uso de VANTs em áreas de mineração (Application of mapping and modelling using UAV in mining areas). Universidade Federal de
Santa Catarina. Relatório de Pós-doutorado (Post-PhD. Report). 136p.
Salvini, R., Esposito, G., Mastrorocco, G., and Seddaiu, M. 2016. Using a Remotely Piloted Aircraft
System (RPAS) to Analyze the Stability of a Natural Rock Slope. EGU General Assembly 2016,
18:4409.
Silva, C., Duarte, C., Souto, M., Santos, A., Amaro, v., Bicho, C., Sabadia, J.A. 2016. Avaliação da
acurácia do cálculo de volume de pilhas de rejeito utilizando VANT, GNSS e LiDAR (Accuracy
volumetry evaluation of tailings using UAV, GNSS and LiDAR), Boletim de Ciências Geodésicas, v.
22, p. 73–94.
Westoby, J., Brasington, J., Glasser, N., Hambrey, M., Reynolds, J. 2012. ‘Structure-From-Motion’
photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, v. 179, p.
300–314.
For future work, the authors aim to purchase the appropriate sensors that cover the indicated bands through statistical analysis.
REFERENCES
Bamford, T., Esmaeili, K., Schoellig, A. 2017. Aerial Rock Fragmentation Analysis in Low-Light Condition Using UAV Technology. In: 38th Application of Computers and Operations Research in the
Mineral Industry. Golden. p. 4_1–4_8.
Beretta, F., Peroni, R., Costa, J.F. 2017. Stockpile volumetric survey using aircraft imagery in comparison with traditional methods. In: 38th Application of Computers and Operations Research in the
Mineral Industry. Golden, p. 4_9–4_15.
Beretta, F., Rodrigues, A., Peroni, R., Costa, J.F. 2019. Using UAV for Automatic Lithological Classification of Open Pit Mining Front. REM—International Engineering Journal. v. 72 N.1.
Dalm, M., Buxton, N., Ruitenbeek, A. 2017. Discriminating ore and waste in a porphyry copper
deposit using short-wavelength infrared (SWIR) hyperspectral imagery. Minerals Engineering, v.105:
p. 10–18.
Ehrenfeld, A., Egaña, A., Guerrero, P., Liberman, S., Hanna, V., Voisin, L., Adams, M. 2017. Geometallurgical variables characterization using hyperspectral images and machine learning technics. In:
38th Application of Computers and Operations Research in the Mineral Industry, Golden, p. 6_1–6_6.
Hugenholtz, C.H., Whitehead, K., Brown, O., Barchyn, T., Moorman, B., LeClair, A., Riddel, K., Hamilton, T. 2013. Geomorphological Mapping with a Small Unmanned Aircraft System (sUAS): Feature Detection and Accuracy Assessment of a Photogrammetrically-Derived Digital Terrain Model.
Geomorphology v. 194, p. 16–24, Retrieved (http://dx.doi.org/10.1016/j.geomorph.2013.03.023).
Peroni, R. 2016. Aplicações de mapeamento e modelagem de terreno com uso de VANTs em áreas de mineração (Application of mapping and modelling using UAV in mining areas). Universidade Federal de
Santa Catarina. Relatório de Pós-doutorado (Post-PhD. Report). 136p.
Salvini, R., Esposito, G., Mastrorocco, G., and Seddaiu, M. 2016. Using a Remotely Piloted Aircraft
System (RPAS) to Analyze the Stability of a Natural Rock Slope. EGU General Assembly 2016,
18:4409.
Silva, C., Duarte, C., Souto, M., Santos, A., Amaro, v., Bicho, C., Sabadia, J.A. 2016. Avaliação da
acurácia do cálculo de volume de pilhas de rejeito utilizando VANT, GNSS e LiDAR (Accuracy
volumetry evaluation of tailings using UAV, GNSS and LiDAR), Boletim de Ciências Geodésicas, v.
22, p. 73–94.
Westoby, J., Brasington, J., Glasser, N., Hambrey, M., Reynolds, J. 2012. ‘Structure-From-Motion’
photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, v. 179, p.
300–314.