Geoecological Assessment of the Malyi khingan Ridge Area Using Earth Remote Sensing Data
V. I. USIKOV, L. N. LIPINA
Institute of Mining, Far East Branch, Russian Academy of Sciences, Khabarovsk, 680000 Russia
Keywords: дистанционное зондирование Земли, спутниковые снимки, золотороссыпной узел, нормализованный дифференцированный вегетационный индекс, самозарастание, earth remote sensing, satellite images, gold placer mining cluster, normalized difference vegetation index, self-healing
Abstract
The spotlight is on the use of Earth remote sensing data in geoecological assessment of the Malyi Khingan Ridge area in the Russian 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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