The methodology and technology assessement of damage caused by Ukrainian government as a result of illegal extraction of amber

Authors

  • 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
  • Ruslan Shevchuk Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara Str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0001-6610-4927

DOI:

https://doi.org/10.36023/ujrs.2016.11.90

Keywords:

amber, illegal mining, multispectral satellite imaging, environmental monitoring, losses assessment

Abstract

The disturbed land area increasing of 48.4 ha for 5 months was detected by satellite monitoring as a result of illegal mining within 295.6 ha site. The minimum losses caused by land deterioration and contamination only are estimated at 4.3 million UAH. The proposed technology is unified for nature protection monitoring as well as for decision-making support within the open mining area of other type too.

References

Tymochko T. V. (2015) Environmental consequences of amber mining and ways to overcome themю Informational materials for the round table meeting "Reclamation of territories disturbed as a result of amber mining" on September 4, 2015 in Rivne. All-Ukrainian Environmental League. Rivne city, 4-5.

Nadtochii P. P., Myslyva T. M. (2015) Environmental consequences of amber mining in Zhytomyr Oblast (practical guide). Zhytomyr: Zhnaeu Publishing House

Nadtochii P. P., Myslyva T. M. (2015) Illegal amber mining in Zhytomyr region: ecological aspects. Problems of amber mining in Ukraine and ways to solve them. Library of the All-Ukrainian Environmental League, Series "State of the Environment". September. 9(141), 6-10.

The methodology for determining the amount of compensation for damages caused to the state as a result of arbitrary use of the subsoil was approved by the order of the Ministry of Ecology and Natural Resources of Ukraine No. 303 dated August 29, 2011. Retrieved from http://dei.gov.ua/menyu-4/2012-01-22-11-28-44.html

The methodology for determining the amount of damage caused as a result of arbitrary occupation of land plots, use of land plots not for their intended purpose, removal of soil cover (fertile soil layer) without a special permit with changes and additions in the edition of October 10, 2012 approved by the resolution of the Cabinet of Ministers of Ukraine dated 25 July 2007 No. 963. Retrieved from http://dei.gov.ua/menyu-4/2012-01-22-11-28-44.html

The methodology for determining the amount of damage caused by pollution and littering of land resources due to violations of environmental protection legislation was approved by Order No. 171 of the Ministry of Natural Resources of Ukraine dated October 27, 1997, as amended by Order No. 149 dated April 4, 2007. Retrieved from http://dei.gov.ua/menyu-4/2012-01-22-11-28-44.html

Filipovych V. Ye., Krylova H. B., Lubskyi M. S. (2015) The method of finding and locating areas of illegal amber mining based on the materials of multi-zone space photography. Collection of scientific works of the 14th international scientific and practical conference "Modern information technologies for managing environmental safety, nature management, measures in emergency situations" October 5-9, 2015. Kyiv, Pushcha-Vodytsia, 189–198.

Filipovych V. Ye. (2015) Satellite monitoring for the areas of illegal extraction of amber. Ukrainskyi zhurnal dystantsiinoho zonduvannia Zemli. 6, 4-7. Retrieved from https://ujrs.org.ua/ujrs/article/view/52

Filipovych V. Ye. (2015) Operational control of the spread of illegal amber mining and assessment of damages caused to the state based on the materials of multi-zonal space photography. Ekolohichna bezpeka ta pryrodokorystuvannia. 20(4), 71-78.

Public cadastral map of Ukraine. Retrieved from http://www.map.land.gov.ua/kadastrova-karta

Published

2017-01-29

Issue

Section

Earth observation data applications: Challenges and tasks