Remote sensing techniques for mining waste characterization

M. A. Zoran; R. S. Savastru; D. M. Savastru; S. I. Miclos; M. N. M Tautan

doi:10.1117/12.830513

7 October 2009 Remote sensing techniques for mining waste characterization

M. A. Zoran, R. S. Savastru, D. M. Savastru, S. I. Miclos, M. N. M Tautan

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 74780Q (2009) https://doi.org/10.1117/12.830513
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

Environmental monitoring is essential information routinely required by the mining industry and regulators to demonstrate that the environment is not adversely impacted by exploration and mining. New mining technologies can not only exploit low-grade ores but also produce high volumes of tailings as mining wastes. Satellite remote sensing imagery provided by Landsat TM and ETM sensors is an important investigation tool of mining waste cover screening, mapping and monitoring at local and regional scales of areas containing multiple sources of mining-related heavy metals. By this, satellite remote sensing data can help to rapidly assess the dimension of mining waste risk and therefore better manage such a geohazard as well as for remediation programs. Based on Landsat TM, ETM satellite data over 1989-2007 period, was possible to be achieved a discrimination between weathered materials and other prone to acidification as well as to perform a spatio temporal landcover change detection analysis in some mining waste areas in Maramures County, Romania. Accuracy of image processing results (mineralogical classification) was confirmed through ground sampling and analysis of reflectance spectra with portable GER 2600 spectroradiometer.

Citation Download Citation

M. A. Zoran, R. S. Savastru, D. M. Savastru, S. I. Miclos, and M. N. M Tautan "Remote sensing techniques for mining waste characterization", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74780Q (7 October 2009); https://doi.org/10.1117/12.830513

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