Reclamation efficiency assessment at Nazarovo open pit mine using remote sensing

The major concern in open pit mining is damage and destruction of rich soil layer and plant communities. Removal of deep-seated rocks to ground surface exacerbates reclamation of mining-disturbed land later on. Reclamation is the most effective approach to returning the damaged land to the economic activity. The optimum method of land monitoring is the remote (space) sensing monitoring using the multispectral satellite images. The application of the remote monitoring in mining-damaged and reclaimed land assessment is discussed as a case-study of Nazarovo open pit mine. Using the Sentinel-2 satellite data with spatial resolution of 10 m/pixel for July and August 2020, the maps of the normalized difference vegetation index and the soil adjusted vegetation index are plotted together with the maps of difference between these indexes per survey dates and with the profile graphs of these indexes per each test site. Furthermore, the contents of chlorophyll and moisture in leaves are additionally calculated.

Keywords: Nazarovo open pit mine, reclamation, remote sensing data, unmanned air vehicle.
For citation:

Mikov L. S., Schastlivcev E. L., Androkhanov V. A. Reclamation efficiency assessment at Nazarovo open pit mine using remote sensing. MIAB. Mining Inf. Anal. Bull. 2023;(1):70-83. [In Russ]. DOI: 10.25018/0236_1493_2023_1_0_70.

Acknowledgements:
Issue number: 1
Year: 2023
Page number: 70-83
ISBN: 0236-1493
UDK: 528.854: 631.618
DOI: 10.25018/0236_1493_2023_1_0_70
Article receipt date: 18.07.2022
Date of review receipt: 09.09.2022
Date of the editorial board′s decision on the article′s publishing: 10.12.2022
About authors:

L.S. Mikov1, Junior Researcher, e-mail: mikov@ict.sbras.ru,
E.L. Schastlivcev1, Dr. Sci. (Eng.), e-mail: schastlivtsev@ict.sbras.ru,
V.A. Androkhanov, Dr. Sci. (Biol.), Institute of Soil Science and Agrochemistry, Siberian Branch of Russian Academy of Sciences, 630090 Novosibirsk, Russia, e-mail: androhan@yandex.ru,
1 Federal Research Center for Information and Computational Technologies, 650025, Kemerovo, Russia.

 

For contacts:

E.L. Schastlivcev, e-mail: schastlivtsev@ict.sbras.ru.

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