Abstract
The spotlight is on the use of Earth remote sensing data in geoecological assessment of the Malyi Khingan Ridge area in the Far East. Based on the analysis of satellite observations over the Sutara gold placer mining range, the time variation of the disturbed land is determined. It is found that natural recovery of bio-geo-cenosis takes an active part in the process. Using the normalized difference vegetation index (NDVI), the behavior and rates of self-healing of the disturbed lands are assessed. Complete recovery of vegetation in gold placer mining areas up to a level comparable with the adjacent territories takes 7 to 10 years.
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References
Bolsunovsky, M.A., Perspective Directions of Space Earth Remote Sensing Development, Geomatika, 2009, no. 2, pp. 12–15.
Nosenko, Yu.I., Loshkarev, P.A., Joint Spatially Distributed Earth Remote Sensing Information System–problems, solutions, perspectives, P. 1, Geomatika, 2010, no. 3, pp. 35–42.
Isaev, A.S., Bartalev, S.A., and Lupyan, E.A., Earth Observations from Satellites as a Unique Instrument to Monitor Russia’s Forests, Herald of the Russian Academy of Sciences, 2014, vol. 84, no. 12, pp. 413–419.
Zol’nikov, I.D., Balandin, V.A., and Boguslavsky, A.E., Data Bank and Geodata Geo-Environment of Novosibirsk, Engineering and Geological Problems of Urbanized Territories: Int. Conf. Proc., vol. 2, Ekaterinburg: Akva-Press, 2001.
Oparin, V.N., Potapov, V.P., Giniyatullina, O.L., Andreeva, N.V., Schastlivtsev, E.L., and Bykova, A.A., Evaluation of Dust Pollution of Air in Kuzbass Coal-Mining Areas in Winter by Data of Remote Earth Sensing, J. Min. Sci., 2014, vol. 50, no. 3, pp. 549–558.
Fiziko-geograficheskoe raionirovanie SSSR. Kharakteristika regional’nykh edinits (Physical-Geographical Regionalization of the USSR. Regional Units Characteristics), Gvozdetsky, N.A., Ed., Moscow: Izd. MGU, 1968.
Fetisov, D.M., Anthropogenic Changes of Natural Landscapes in the Russian Part of the Lesser Khingan, Vestn. DVO RAN, 2008, no. 3, pp. 51–57.
Kapel’kina, L.P., Natural Revegetation and Remediation of Disturbed Lands of the North, Usp. Sovr. Estest., 2012, no. 11 (1), pp. 98–102.
Borzuchowski, J., Schulz, K., Retrieval of Leaf Area Index (LAI) and Soil Water Content (WC) Using Hyperspectral Remote Sensing Under Controlled Glass House Conditions for Spring Barley and Sugar Beet, Remote Sensing, 2010, vol. 2, no. 7, pp. 1702–1721.
Chadra, A.M., Gosh, G.S., Distantsionnoe zondirovanie i geograficheskie informatsionnye sistemy (Remote Sensing and Geographic Information Systems), Moscow: Tekhnosfera, 2008.
Cherepanov, A.S., Vegetation Indices, Geomatika, 2011, no. 2, pp. 98–102.
http:/epizodsspace. no-ip.org/bibl/sutyrina/distantsionnoe/sutyrina-distantsionnoe-2013.pdf.
Mesyats, S.P., Volkova, E.Yu., Fundamental Regulations for the Strategy of Returning the Damaged Lands from Man-Made Landscapes to Biospheric Fund, GIAB, no. S4-13, pp. 3–11.
Ozaryan, Yu. A., Integrated Assessment of Technogenic Wasteland of Komsomolsk Mining District Using Vega Satellite Service, Sovr. Prob. Dist. Zond. Zem. Kosm., vol. 13, no. 1, pp. 70–78.
Chibrik, T.S., El’kin, Yu.A., Formirovanie fitotsenozov na narushennykh promyshlennost’yu zemlyakh (Formation of Plant Communities on Disturbed Industry Lands), Sverdlovsk: Izd. Ural. Univer., 1991.
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Original Russian Text © V.I. Usikov, L.N. Lipina, 2018, published in Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2018, No. 2, pp. 154–160.
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Usikov, V.I., Lipina, L.N. Geoecological Assessment of the Malyi Khingan Ridge Area Using Land Surface Remote Sensing Data. J Min Sci 54, 323–328 (2018). https://doi.org/10.1134/S1062739118023690
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DOI: https://doi.org/10.1134/S1062739118023690