

Investigation of Ecosystem Restoration at Sites of Spent Coal Deposits in the Regions of the Urals Using Remote Sensing Resources
https://doi.org/10.18412/1816-0395-2021-1-32-37
Abstract
The results of assessing the ecological state of lands disturbed during the open-cut mining of four coal deposits in the Sverdlovsk and Chelyabinsk regions are presented. In the course of the studies carried out using the results of remote monitoring, it was found that ecologically acceptable restoration of vegetation cover on the territory of disturbed lands occurs as a result of reclamation work and natural processes of its self-restoration.
About the Authors
I.V. ZenkovRussian Federation
Dr. Sci. (Eng.), Professor
Yu.P. Yuronen
Russian Federation
Cand. Sci. (Eng.), Associate Professor
G.I. Yurkovskaya
Russian Federation
Cand. Sci. (Economics), Associate Professor
M.V. Safronov
Russian Federation
Senior Lector
P.M. Kondrashov
Russian Federation
Cand. Sci. (Eng.), Professor
V.N. Konov
Russian Federation
Cand. Sci. (Eng.), Associate Professor
P.L. Pavlova
Russian Federation
Cand. Sci. (Eng.), Associate Professor
Yu.A. Maglinets
Russian Federation
Cand. Sci. (Eng.), Professor
S.N. Skornyakova
Russian Federation
Senior Lector
References
1. Jessica A. Bolin, David S. Schoeman, Carme Pizà‐Roca, Kylie L. Scales. A current affair: entanglement of humpback whales in coastal shark‐control nets. Remote Sensing in Ecology and Conservation. 2020. V. 6. Iss. 2. Р. 119—128.
2. Annalise Taylor, Tanushree Biswas, John M. Randall, Kirk Klausmeyer, Brian Cohen. Parched pines: a quantitative comparison of two multi‐year droughts and associated mass mortalities of bishop pine (Pinus muricata ) on Santa Cruz Island, California. Remote Sensing in Ecology and Conservation. 2020. V. 6. Iss. 1. Р. 20—34.
3. Francisco Javier Ancin‐Murguzur, Lorena Munoz, Christopher Monz, Vera H. Hausner. Drones as a tool to monitor human impacts and vegetation changes in parks and protected areas. Remote Sensing in Ecology and Conservation. 2020. V. 6. Iss. 1. Р. 105—113.
4. Fabien H. Wagner, Alber Sanchez, Yuliya Tarabalka, Rodolfo G. Lotte, Matheus P. Ferreira, Marcos P. M. Aidar, Emanuel Gloor, Oliver L. Phillips, Luiz E. O. C. Aragгo. Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images. Remote Sensing in Ecology and Conservation. 2019. V. 5. Iss. 4. Р. 360—375.
5. Matthew Kamm J., Michael Reed. Use of visible spectrum sUAS photography for land cover classification at nest sites of a declining bird species (Falco sparverius). Remote Sensing in Ecology and Conservation. 2019. V. 5. Iss. 3. Р. 259—271.
6. Djordje Mirkovic, Phillip M. Stepanian, Charlotte E. Wainwright, Don R. Reynolds, Myles H. M. Menz. Characterizing animal anatomy and internal composition for electromagnetic modelling in radar entomology. Remote Sensing in Ecology and Conservation. 2019. V. 5. Iss. 2. Р. 169—179.
7. Alison E. Beresford, Fiona J. Sanderson, Paul F. Donald, Ian J. Burfield, Adam Butler, Juliet A. Vickery, Graeme M. Buchanan. Phenology and climate change in Africa and the decline of Afro‐Palearctic migratory bird populations. Remote Sensing in Ecology and Conservation. 2019. V. 5. Iss. 1. Р. 55—69.
8. Jasmine Muir, Stuart Phinn, Teresa Eyre, Peter Scarth. Measuring plot scale woodland structure using terrestrial laser scanning. Remote Sensing in Ecology and Conservation. 2018. V. 4. Iss. 4. Р. 320—338.
9. https://www.google.com/earth/ (дата обращения 09.06.2020).
10. https://earthexplorer.usgs.gov/ (дата обращения 09.06.2020).
11. http://mining-enc.ru/ (дата обращения 09.06.2020).
Review
For citations:
Zenkov I., Yuronen Yu., Yurkovskaya G., Safronov M., Kondrashov P., Konov V., Pavlova P., Maglinets Yu., Skornyakova S. Investigation of Ecosystem Restoration at Sites of Spent Coal Deposits in the Regions of the Urals Using Remote Sensing Resources. Ecology and Industry of Russia. 2021;25(1):32-37. (In Russ.) https://doi.org/10.18412/1816-0395-2021-1-32-37