Monitoring of tailing dam reclamation using multispectral remote sensing

Adjiski, Vancho and Mijalkovski, Stojance (2022) Monitoring of tailing dam reclamation using multispectral remote sensing. In: XIII Expert conference themed: Technology of underground and surface mining of mineral raw materials, Podeks - Poveks ’22, 14-16 Oct 2022, Ohrid.

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Abstract

For this study, the Google Earth Engine (GEE) platform is used in conjunction with Landsat multispectral images to analyze the vegetation of the Topolnica tailing dam reclaimed area.
In 1997, a variety of vegetation was planted on this location, and the reclamation stage of the tailing dam began.
This analysis is based on the Normalized Difference Vegetation Index (NDVI) obtained from Landsat multispectral images, which can be analyzed over time to describe vegetation changes.
The proposed methodology consists of several steps in which spatio-temporal variability of NDVI classes, surface distribution of NDVI classes and spatio-temporal NDVI trajectory in the reclaimed area of the Topolnica tailing dam for the period from 1997 to 2021 are analyzed together with satellite images for validation.
The results of this study have the potential to be used as a tool to monitor and improve the reclamation process in mining regions.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Monitoring, remote sensing, reclamation, multispectral images, Landsat, NDVI
Subjects: Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Natural and Technical Sciences
Depositing User: Vanco Adziski
Date Deposited: 25 Oct 2022 11:09
Last Modified: 25 Oct 2022 11:09
URI: https://eprints.ugd.edu.mk/id/eprint/30366

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