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Analysis and discrimination of hyperspectral ...

However, the number of hyperspectral bands is large and has nanometer resolution, widely used in agriculture, forestry, and other fine identification (Lijuan et al., 2021). Since the 1990s, the application of hyperspectral remote sensing in mine …

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Geometallurgy & hyperspectral mineralogy : ALS

Geometallurgy & hyperspectral mineralogy; Quality assurance; Data Management and Systems Expand. Webtrieve™ Feasibility & assessment Expand. Coal preparation performance testing; Coal carbonisation & coke making; Coal combustion technology; Mine Services Expand. Coal handling, process plant auditing & consultancy; Dust control & fogging

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Hyperspectral‐based Inversion of Heavy Metal Content in ...

Coal mining has environmental impacts on surrounding areas, including heavy metal contamination of soil. This study explores the feasibility of using hyperspectral remote sensing to determine the heavy metal (Cr, Ni, Cu, Zn, Cd, Pb) content of soils in a coal-mining area in the city of Zoucheng, Shandong Province, China.

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Hyperspectral analysis of soil organic matter in coal ...

Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlation--partial least squares regression (PLSR) method effectively solves the information loss problem of correlation--multiple linear stepwise regression, but results of the ...

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A REAL-TIME COAL CONTENT/ORE GRADE (C2OC) SENSOR ...

The sensor, which is based on hyperspectral imaging technology, was designed to give a machine vision assay of ore or coal. Sensors were designed and built at Resonon, Inc., and then deployed at the Stillwater Mining Company core room in southcentral Montana for analyzing platinum/palladium ore and at the Montana Tech Spectroscopy Lab for ...

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COAL AND OPEN-PIT SURFACE MINING

the San Juan Coal Mine in Waterflow, New Mexico Three-dimensional visualization of hyperspectral imagery displaying spectral bands Mineral-classified image showing land surface types surrounding a coal facility in Craig, Colorado. Distribution of coal mining waste classifications along streams and water bodies.

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Hyperspectral analysis of soil organic matter in coal ...

12%Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlation—partial least squares regression (PLSR) method effectively solves the information loss problem of correlation—multiple linear stepwise regression, but results of the correlation …

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Estimation of Heavy Metals in Tailings and Soils Using ...

Rapid assessment of heavy metal (HM) pollution in mining areas is urgently required for further remediation. Here, hyperspectral technology was used to predict HM contents of multi-media environments (tailings, surrounding soils and agricultural soils) in a mining area. The correlation between hyperspectral data and HMs was explored, then the …

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Characterization and Identification of Coal and ...

Because of the high organic carbon concentration in carbonaceous shale, a large proportion of carbonaceous shales are often misclassified into coals using visible and near-infrared (VIS-NIR) reflectance spectroscopy in the field of coal-gangue identification of hyperspectral remote sensing of coal mine. In order to study spectral characterization of coal and carbonaceous …

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Mining & Energy | Hyperspectral Intelligence

For mining companies who want to work efficiently while conforming to social distancing rules and travel restrictions, the geoLOGr is a hyperspectral rock analyzer that produces accurate and objective drill core logs for less than $10/meter in an automated and easy-to-use manner. The geoLOGr is shipped to you in a box.

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3 Technologies in Exploration, Mining, and Processing ...

Routine use of existing hyperspectral systems by the minerals industry has been hampered by the unavailability of systems for industrial use, the high cost of hyperspectral data (when available) compared to typical multispectral data, and the need for additional research into the processing of hyperspectral data. ... In underground coal mining ...

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Hyperspectral Imaging for Ore Distinction - HySpex

It is predicted that hyperspectral imaging will play an important role in the future in optimizing mining short-term objectives. So far, real-time analytics, predictive machine learning and image analytics are being applied at only 35%, 38% and 37% of the mines respectively 2 .

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Secondary Iron Mineral Detection via Hyperspectral ...

Furthermore, AMD proxy minerals (jarosite, hematite, schweramanite and goethite) are also studied by a recent study to explore the relation between the measured pH and classified minerals on drone-borne hyperspectral images of Sokolov lignite coal mine area, Czech Republic (Jackisch et al., 2018).

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Abandoned and Legacy Mine Lands | U.S. Geological Survey

By. Energy Resources Program, Geology, Energy & Minerals Science Center. link. November 20, 2018. Assessing Emissions from Active and Abandoned Coal Mines. The gas emission zone liberates and accumulates significant amounts of coal mine methane as a by-product of active mining. In most active mines, coal mine methane is controlled by wellbores ...

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UAVs in the Mining Industry | GIM International

In the mining industry, UAVs are currently primarily used to generate photogrammetric data. However, the unmanned aircraft can also be equipped with a hyperspectral sensor and be used for geological mapping of the area. They can, for example, fly over landfills and open mine sites to quickly and efficiently seek out precious metals or minerals.

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Assessing Soil Organic Matter Content in a Coal Mining ...

This study proves that the 3DI is the first choice for the optimal band combination algorithm to derive sensitive parameters related to SOM in the coal mining area. Furthermore, the optimal band combination algorithm can be applied to hyperspectral or multispectral images and to convert the spectral response into image pixels, which may be ...

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Remote Sensing Code Library | Code Record

McGibbney, L. J., Brown, T. A., Clayton, H. A., Wang, X. (2017) "COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY", 2017 Conference on Big Data from Space (BiDS'17) Research, Technology and Innovation, 28-30 November 2017 Centre de Congrès Pierre Baudis, …

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(PDF) A 91-Channel Hyperspectral LiDAR for Coal/Rock ...

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification. ... it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and …

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A research on coalfield fire detection in Daliuta mining ...

Daliuta mining coal fires at Inner Mongolia were not reported at present in remote sensing. However, they still pose a serious threat to the surroundings. In order to extract combustion range of the coal mine, we used the wintertime thermal airborne infrared hyperspectral images of TASI acquired in 2016 to detect the coal fire of Daliuta mining. The synchronous in situ

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Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage ...

Acid mine drainage (AMD) is a common side-effect of the process of coal and ore mining, especially in open-pit mining. The exposition of sulfide-bearing minerals, such as pyrite or marcasite, to atmospheric oxygen and water results in their oxidation and the release of ions, such as H +, Fe 2+, and SO 4 2−. The solution of these oxidation ...

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New hyperspectral imaging satellite expected ... - mining.com

The new system has been designed to leverage OSK's previous experience collecting and analyzing hyperspectral data to support operations in …

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hyperspectral for coal mining - Mine Equipments

Hyperspectral remote sensing as a tool to map and monitor open-pit ... Sokolov lignite basin. • Western part of the Czech republic. • Affected by long- term coal mining.Hypso: Hyperspectral Sokolov (2009-2012). Sokolov lignite basin ...

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Mining & mineral processing solutions | Malvern Panalytical

The focus of the mining industry is shifting towards potential new resources in remote areas as a result of decreasing ore grades. Remote sensing technology is an effective and widely established analytical method for geology and mineral exploration and has proven extremely beneficial by providing access to dangerous or previously inaccessible mineral …

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Coal fires - Global Energy Monitor

Number of coal fires. According to a 2010 article in Discover Magazine, the United States has 112 documented underground fires, along with many more not yet known or counted. In addition to underground fires, there are also 93 known surface coal fires, some of them in huge coal waste piles created during the process of coal mining, such as a 100-foot-high burning fire near …

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Arabian Journal of Geosciences, /, - X-MOL

Hyperspectral remote sensing is the technique of acquiring digital imagery of earth materials in several narrow continuous spectral bands that generate full spectral signatures without any wavelength omissions. ... This study predicts the risk of water inrush from the Ordovician limestone aquifer to No. 17 coal seam in the Yangcun Coal Mine ...

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hyperspectral for coal mining

A Real Time Coal Content/Ore GradeOffice of Scientific The sensor, which is based on hyperspectral imaging technology, was designed hyperspectral for coal mining coal processing plant at maamba collieries hyperspectral for coal mining Mine Equipments • Affected by long term coal mining Hypso: Hyperspectral Sokolov, Coal processing plants ...

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Study on Ecological Environment Monitoring in Mining Area ...

biogeochemistry, taking No. 2 coal mine and No. 3 coal mine in Jining city as the study area, spectral data and environmental pollution information of vegetation are collected in this area. The spectrum of polluted plants was extracted by hyperspectral remote sensing. The multivariate model between spectrum and pollution status

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Drone-borne spectral monitoring of post-mining areas ...

Mining always played a decisive role in achieving modern technology standards, influencing raw material driven aspects of today's societies. During the last decade, more focus is put towards environmental protection in developed countries. This progression is not yet implemented in many mining sites all over the world. In those cases, mining and post-mining management …

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hyperspectral-image-classification · GitHub Topics · GitHub

python classification hyperspectral-image-classification classification-algorithm coal open-surface-mining surface-mining-activities Updated Aug 4, 2021 Python

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AMT - Detection and quantification of CH4 plumes using the ...

During coal mining, the enclosed methane is released into the environment. For underground mining, the methane concentration in the air in the mining shafts is kept well below the explosion limit by ventilating the shafts with fresh air (Özgen Karacan, 2008). The ventilation shafts then emit the total emissions from the whole mine.

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Acquisition of Coal Quality by Semi-Automatic Analysis of ...

This project examines the application of hyperspectral and X- CT scanning to derive information on coal quality, in particular coal lithotypes and mineral matter composition that will influence breakage and washability predictions. Hyperspectral scanners analyse different wavelengths allowing the identification of the minerals occurring in a rock.

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Hyperspectral-based Inversion of Heavy Metal Content in ...

Coal mining has environmental impacts on surrounding areas, including heavy metal contamination of soil. This study explores the feasibility of using hyperspectral remote sensing to determine the heavy metal (Cr, Ni, Cu, Zn, Cd, Pb) content of soils in a coal-mining area in the city of Zoucheng, Shandong Province, China.

Read More...

A 91-Channel Hyperspectral LiDAR for Coal/Rock ...

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification Abstract: During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock classification from different layers. It implies that a technique for rapidly and accurately classifying coal/rock in-site needs to ...

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[PDF] A Study of Multispectral Technology and Two ...

Coal is one of the main sources of human energy. In the process of coal mining, separating gangue from coal has great significance for environmental protection and energy conservation. The core problem in the separation of gangue is the recognition of coal and gangue. In this study, multispectral technology was used to identify gangue. First, set up a data acquisition system in …

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