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PERSPECTIVE OF USING SATELLITE OBSERVING DATA TO MONITOR THE GRASS SOD STATE WHILE CONSERVING STOCKPILED ORE PROCESSING WASTES

S.P. Mesyats

First published: 2019-06-20https://doi.org/10.5593/sgem2019/5.1/s20.067View metrics

Abstract

The significant impact of the mining industry on the environment is associated with the storage of ore processing wastes characterized by a low potential for self-overgrowing due to wind and water erosion, lack of structure and low moisture capacity of fine-dispersed waste substances. In order to conserve the stored ore processing waste and reduce their negative environmental impact, the Mining Institute has developed a technology that ensures the formation of sustainable grass sod without applying a topsoil layer in accordance with the principle of self-organization of natural systems. While monitoring the conservation of stored ore processing waste, according to satellite observations, the spatial distribution and temporal dynamics of the vegetation index and the moisture stress index of the created grass sod have been investigated and the use of their ratio has been proposed for assessing the grass sod state. The time for the sod grow to a steady state has been set. The proposed approach of the satellite observations use is recommended to support decision-making on the conservation of stored waste and the restoration of disturbed land during mineral deposits development.

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Publication details

Title
PERSPECTIVE OF USING SATELLITE OBSERVING DATA TO MONITOR THE GRASS SOD STATE WHILE CONSERVING STOCKPILED ORE PROCESSING WASTES
Authors
S.P. Mesyats
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2019
Pages
533-540
SWS Citekey
Mesyats201920533540
ISSN
1314-2704
ISBN
978-619-7408-84-3
Language
en
Publication type
Conference Paper
Keywords
stockpiled ore processing wastegrass sod creationsatellite datavegetation indexmoisture stress index
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