Special issue of the journal «Ugol'» S12-2022

ECOLOGY

Original Paper

UDC 639.1.053 © M.A. Osintseva, E.A. Zhidkova, A.Yu. Prosekov, A.D. Kuznetsov, A.O. Rada, N.V. Burova, 2022

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № S12, pp. 132-141

DOI: http://dx.doi.org/10.18796/0041-5790-2022-S12-132-141

Title

ASSESSMENT OF THE VEGETATION INDEX OF COAL MINE DUMPS BASED ON THE NDVI DATA

Authors

Osintseva M.A.1, Zhidkova E.A.1, Prosekov A.Yu.1, Kuznetsov A.D.1, Rada A.O.1, Burova N.V.1

1 Kemerovo State University, Kemerovo, 650000, Russian Federation

Authors Information

Osintseva M.A., PhD (Engineering), Head of Project Department, Kemerovo State University,e-mail k1marial@inbox.ru

Zhidkova E.A., Doctor of Economic Sciences, Associate Professor, Vice-Rector for Science and Innovation,e-mail 291154@mail.ru

Prosekov A.Yu., Doctor of Economic Sciences, Professor, Rector, Corresponding Member of the Russian Academy of Sciences, e-mail: aprosekov@rambler.ru

Kuznetsov A.D., Director of the Computing Engineering Center, e-mail adkuz@inbox.ru

Rada A.O., PhD (Engineering), Director of the Digital Institute,e-mail radaartem@mail.ru

Burova N.V., Director of the Center for Landscape Architecture, e-mail centrla@mail.ru

Abstract

The purpose of the study is to investigate the efficiency of using the vegetation index of coal mine dumps to assess the in-situ condition of the vegetation cover using an abandoned site at one of the Kuzbass coal mine dumps as an example. A Supercam S250F unmanned aerial vehicle equipped with an automatic control system, the GPS/GLONASS navigation system, an onboard 24 Megapixel camera with a 20 mm lens, a multispectral camera and a thermal imager was used for high-precision aerial photography to create a site plan based on the data obtained. Route reconnaissance surveys, during which a general geobotanical evaluation of the territory was made, were performed on the experimental site as an alternative method. The survey object was the territory of one of the waste dumps of Taldinsky strip mine in the Prokopyevsk municipal district of the Kemerovo Region. The surveys were conducted in August 2021. When comparing the results of the two methods to determine the state of the vegetation cover on the territory disturbed by human activity, a conclusion was made that the NVDI method was more comprehensive in terms of the data obtained. In addition to the static determination of the current vegetation cover condition, this study can allow assessing the effectiveness of reclamation of the disturbed areas. To assess the quality of reclamation, the NDVI index should be measured periodically, with subsequent comparison of the obtained data.

Keywords

Normalized Difference Vegetation Index (NDVI), Anthropogenic impact, Coal, Reclamation, Disturbed lands, Monitoring, Unmanned aerial vehicle, Remote sensing of land, Remote sensing data, Kemerovo Region - Kuzbass.

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Acknowledgements

The research was carried out with financial support of the ‘Development and implementation of complex technologies in the areas of exploration and extraction of minerals, industrial safety, bioremediation, creation of new deep conversion products from coal raw materials while consistently reducing the environmental impact and risks to human life’ Integrated Scientific and Technical Programme of the Full Innovation Cycle, approved by Order No. 1144-р of the Government of the Russian Federation as of May 11, 2022.

For citation

Osintseva M.А., Zhidkova E.A., Prosevkov A.Yu., Kuznetsov A.D., Rada A.O. & Burova N.V. Assessment of the vegetation index of coal mine dumps based on the NDVI data. Ugol’, 2022, (S12), pp. 132-141. (In Russ.). DOI: 10.18796/0041-5790-2022-S12-132-141.

Paper info

Received November 1, 2022

Reviewed November 15, 2022

Accepted November 30, 2022