2020
DOI: 10.21046/2070-7401-2020-17-7-243-261
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Development of a system for analyzing the state of environment in areas of large industrial facilities, tailings and dumps

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Cited by 3 publications
(4 citation statements)
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“…Satellite monitoring informs on movement of different-quality water streams on ground surface [11]. Russian experts suggest to arrange continuous remote monitoring of changes induced in water bodies by mining and by other anthropogenic activities [12]. In Brazil, satellite surveys revealed silting of the large river Tapajós as a result of artisanal gold digging for 40 years.…”
Section: Remote Sensing In Applied Problem Solving In Mineral Miningmentioning
confidence: 99%
See 1 more Smart Citation
“…Satellite monitoring informs on movement of different-quality water streams on ground surface [11]. Russian experts suggest to arrange continuous remote monitoring of changes induced in water bodies by mining and by other anthropogenic activities [12]. In Brazil, satellite surveys revealed silting of the large river Tapajós as a result of artisanal gold digging for 40 years.…”
Section: Remote Sensing In Applied Problem Solving In Mineral Miningmentioning
confidence: 99%
“…Mineral production ecology. Long-term monitoring of vegetation ecosystem formation and mining-induced water pollution [1][2][3][4][5][6][7][8][9][10][11][12][13] Exploration of mineral-bearing sites and occurrences. Assessment of useful contents in processed ore in storage.…”
Section: Application Area In Mining Reference Sourcesmentioning
confidence: 99%
“…For each of the sites, using the subsystem ObjectsSurveysSMIS, control indicators were calculated for the entire observation period. This section presents the results of calculations obtained for some of the study districts [3]: in one of the examples the impact on vegetation is assessed, in the otheron water bodies.…”
Section: Examplesmentioning
confidence: 99%
“…Analysis of agricultural fields' conditions and control of crop development dynamics [24]; Identification of forest logging and estimation of forest projective cover based on time series data [32]; Monitoring the state of natural and natural-anthropogenic sites and their environmental impact [33]; Obtaining vegetation cover fire damage contours using high spatial resolution data [34].…”
Section: Data Handling Capabilitiesmentioning
confidence: 99%