Research on surveying technology applied for DTM modelling and volume computation in open pit mines
More details
Hide details
Wroclaw University of Technology, Faculty of Geoengineering, Mining and Geology, Wroclaw, Poland
Corresponding author
Jaroslaw Wajs   

Wroclaw University of Technology, Faculty of Geoengineering, Mining and Geology, Wroclaw, Poland, Wybrzeze Wyspianskiego 27, 50-421 Wroclaw, Polska
Mining Science 2015;22:75-83
The spatial information systems of mining company can be used for monitoring of mining activity, excavation planning, calculations of the ore volume and decision making. Nowadays, data base has to be updated by sources such as surveying positioning technologies and remote sensed photogrammetry data. The presented paper contains review of the methodology for the digital terrain model, i.e. DTM, modelling and obtaining data from surveying technologies in an open pit mine or quarry. This paper reviews the application of GPS, total station measurements, and ground photogrammetry for the volume accuracy assessment of a selected object. The testing field was situated in Belchatow lignite open pit mine. A suitable object had been selected. The testing layer of coal seam was located at 8’th pit sidewall excavation area. The data were acquired two times within one month period and it was connected with monthly DTM actualization of excavation. This paper presents the technological process and the results of the research of using digital photogrammetry for opencast mining purposes in the scope of numerical volume computation and monitoring the mines by comparison of different sources. The results shows that the presented workflow allow to build DTM manually and remote sensed and the accuracy assessment was presented by the volume computation pathway. Major advantages of the techniques are presented illustrating how a terrestrial photogrammetry techniques provide rapid spatial measurements of breaklines 3D data utilized to volume calculation.
CAHYONO B. K., MATORI, A. N., BASITH, A., ATUNGGAL, D., 2009. Landslide Detection on Slope.
Area by Using Close-Range Photogrammetric Data, In Prosiding Seminar Nasional Revitalisasi Data.
dan, Sains-Teknik, Prosiding Seminar/Lokakarya/Konferensi, http://lib. ugm. ac. id/digitasi/index.
GAWIN A., 2004. The possibility of applying digital photogrammetry for updating the state of mining in.
Belchatow open pit mine (in polish), Archiwum Fotogrametrii, Kartografii i Teledetekcji, vol. 14, Białobrzegi.
- Warszawa 2004.
GAWIN A., 2009. Using digital terrestrial photogrammetry to update numerical map in opencast mines,.
Górnictwo i Geoinżynieria, 33, pp. 127-135.
GAWIN A., 2010. Updating the open cast numerical model of PGE KWB "Bełchatów" SA using digital photogrammetry, Wiadomości Górnicze, 61(7-8), pp. 477-482.
HEIPKE C., 1997. Automation of interior, relative, and absolute orientation. ISPRS journal of photogrammetry and remote sensing, 52(1), pp 1-19. Research on surveying technology applied for DTM modelling and volume computation… 81.
HU H., FERNANDEZ-STEEGER T. M., DONG M., AZZAM R., 2012. Numerical modeling of LiDARbased geological model for landslide analysis, Automation in Construction, 24, pp. 184-193.
KACZAREWSKI T., BĄK A., WALIŃSKI T., 2010. The application of modern geodetic techniques in surveyor works in the TURÓW Strip Mine of Brown Coal CO, Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum, 9(1), pp. 23-37.
KOLECKA N., 2011. Photo-based 3D scanning vs. laser scanning–Competitive data acquisition methods for digital terrain modelling of steep mountain slopes, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38, 4.
KURCZYNSKI Z., 2014. Photogrammetry, Wydawnictwo Naukowe PWN SA, Warszawa, ISBN: 978- 83-01-17560-3.
MACIASZEK J. AND ĆWIĄKAŁA P., 2010. Laser scanning application for monitoring landslides and dislocations in open cast mines – the “Bełchatów” Lignite Mine example, Przegląd Górniczy t. 66 nr 6, pp. 52–57, ISSN 0033-216X.
MULARZ S. C., 1993. Remote Sensing Monitoring of Open-Cast Mine, International archives of Photogrammetry and Remote Sensing, 29, pp. 311-311.
MULARZ S. S., 1998. Satellite and airborne remote sensing data for monitoring of an open-cast mine, International Archives of Photogrammetry and Remote Sensing, 32, pp. 395-402.
PATIKOVA A., 2004. Digital Photogrammetry In The Practice Of Open Pit Mining, In Isprs XX. Symposium, Commission IV, Wg IV (Vol. 7).
PFLIPSEN B., 2007. Volume computation: a comparison of total station versus laser scanner and different software, Master Thesis in Geomatics, University of Gavle, Sweden.
RATCLIFFE S. AND MYERS A., 2006, Laser Scanning in the Open Pit Mining Environment A Comparison with Photogrammetry, I-SiTE Product Development White Paper, GIM-International.
RUZGIENE B. AND ALEKNIENE E., 2007. Analytical and digital photogrammetric geodata production systems (a comparison test), Geodezija i Kartografija, 33:2, pp. 50-54.
STURZENEGGER M. AND STEAD D., 2009a. Close-range terrestrial digital photogrammetry and terrestrial laser scanning for discontinuity characterization on rock cuts, Engineering Geology, 106(3), pp. 163-182.
STURZENEGGER M. AND STEAD D., 2009b. Quantifying discontinuity orientation and persistence on high mountain rock slopes and large landslides using terrestrial remote sensing techniques, Natural Hazards and Earth System Science, 9(2), pp. 267-287.
TORRES R., SNOEIJ P., GEUDTNER D., BIBBY D., DAVIDSON M., ATTEMA E., ROSTAN F., 2012. GMES Sentinel-1 mission. Remote Sensing of Environment,120, pp. 9-24.
WAJS J., 2014. Alternative methodology for the internal quality control of LiDAR data. InterdisciplinaryTopics in Mining and Geology, vol. V, J. Drzymała (Editor) ISBN 978-83-937788-5-0, pp. 297-302.
WEHR A. AND LOHR, U., 1999. Airborne laser scanning—an introduction and overview, ISPRS Journal of Photogrammetry and Remote Sensing, 54(2), pp. 68-82.
WESTOBY M. J., BRASINGTON J., GLASSER N. F., HAMBREY M. J., REYNOLDS J. M., 2012.‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, pp. 300-314.
YAKAR M. AND YILMAZ H. M., 2008. Using In Volume Computing Of Digital Close Range Photogrammetry, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b.
YILMAZ H. M., 2010. Close range photogrammetry in volume computing, Experimental Techniques, 34(1), pp. 48-54.
Journals System - logo
Scroll to top