Satellite monitoring features of crystalline rocks mining territories within Zhitomyr region based on optical and radar remote sensing data

Authors

  • Ruslan Shevchuk Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0001-6610-4927
  • Volodymyr Filipovych Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-9404-8122
  • Anton Mychak Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-7544-7857
  • Mykola Lybskyi Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-3545-0007

DOI:

https://doi.org/10.36023/ujrs.2019.22.157

Keywords:

crystalline rocks, remote sensing, radar interferometry, open cast mining, environmental protection

Abstract

Opportunities of optical and radar satellite data application for ecological state and reclamation quality assessment of disturbed by crystalline rocks open cast mining lands are considered in the article. Digital elevation models analysis is proposed for the problem of identification of mines among rock dumps and rocky outcrops solution. Radar interferograms were used as source data for DEM creating. The research was performed on three study sites within Korostishiv, Cherniahiv and Khoroshiv districts of Zhitomir region. As result of the study an abandoned quarry with no reclamation done and an illegal stone processing waste dump were found. It is stated that environmental impact of crystalline rock open cast mining not as serious as ilmenite or amber open cast mining impacts and facts of violation of law caused by mining activities were not found.

References

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Published

2019-10-01

Issue

Section

Earth observation data applications: Challenges and tasks