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ENVIRONMENTAL PROTECTION
Название Assessment of nature transformation in themining influence zone by earth remote sensing data
DOI 10.17580/gzh.2019.03.17
Автор Krutskikh N. V.
Информация об авторе

Institute of Geology, Karelian Research Center, Russian Academy of Sciences, Petrozavodsk, Russia:

N. V. Krutskikh, Senior Researcher, Candidate of Geographical Sciences, natkrut@gmail.com

Реферат

The issues of changing the state of the components of the environment within the influence of quarries for the extraction of rubble are considered on the basis of the analysis of field studies and satellite imagery data. The factor analysis was carried out according to the results of a geochemical study of the soil cover and snow cover. For soils and snow, a factor was found that combines the distribution of the association of elements, including V, Co, Ni, Cu, Sc. These elements have high concentrations for the gabbro-dolerite complex. Breeds of the complex are developed in the studied quarries. The distribution of factor loads in space shows the radius of influence of career dust on the composition of the components of the environment. The level of snow contamination was analyzed using remote sensing methods. Spectral indices help identify the spread of aerogenic pollution. The nature of changes in the properties of the underlying surface in the territory is studied using the multi-temporal data on temperature, the vegetative index (NDVI) and the wetting index (NDMI). A joint analysis of the properties and results of an uncontrolled classification in the zone of influence of quarries reveals and interprets qualitative changes in the landscape over a period of time. A classification of landscape changes is developed. Changes show the restoration of landscapes and negative modifications of landscapes.

Ключевые слова Geoecological assessment, monitoring, technogenic impact, remote sensing of the Earth, mining areas, gravel mining.
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Полный текст статьи Assessment of nature transformation in themining influence zone by earth remote sensing data
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