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hyperspectral for coal mining

hyperspectral for coal mining

Hyperspectral imaging system grades ore quality at

2021-4-6  Hyperspectral imaging system grades ore quality at coal and gold mines. The OreSense system contributes to the development of automated mining technology. Researchers from the School of Mechanical and Mining Engineering at the University of Queensland (Brisbane, Queensland, Austraila; uq.edu.au ), in collaboration with the Minerals Research ...

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Hyperspectral analysis of soil organic matter in coal ...

2017-8-29  Hyperspectral remote sensing techniques have the potential for monitoring SOM content in coal mining regionsbecauseofanabundanceofspectralinformation (Doetterl et al. 2013; Gomez et al. 2013). Compared with traditional laboratory methods, hyperspectral tech-nique is quicker, cheaper, and can eliminate sample prep-

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Hyperspectral analysis of soil organic matter in coal ...

2016-1-17  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 analysis must be optimized to improve precision.

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Use of hyperspectral imagery to detect affected

2020-11-16  Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China Xingchen Yang Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou, Jiangsu, China https://orcid.org/0000-0002-2584-9081

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

2019-9-12  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.

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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

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Using hyperspectral indices to measure the effect of

To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an open-pit coalmine in an arid region were selected, and their spectral signals were determined. The present study was conducted near the Wucaiwan open-pit coalmine in the East Junggar Basin in Xi

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COAL - Coal and Open-pit surface mining impacts on ...

2019-2-12  COAL is a Python library for processing hyperspectral imagery from remote sensing devices such as the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS). COAL provides a suite of algorithms for classifying land cover, identifying mines and other geographic features, and correlating them with environmental data sets

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COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN

2019-2-12  COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY Lewis J. McGibbney*, Taylor A. Brown**, Heidi A. Clayton**, Xiaomei Wang** * NASA Jet Propulsion Laboratory, California Institute of Technology

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

2019-9-12  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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Using hyperspectral indices to measure the effect of

To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an open-pit coalmine in an arid region were selected, and their spectral signals were determined. The present study was conducted near the Wucaiwan open-pit coalmine in the East Junggar Basin in Xi

Get Price

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 correlation analysis must be optimized to improve ...

Get Price

Hyperspectral‐based Inversion of Heavy Metal

2019-1-1  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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COAL AND OPEN-PIT SURFACE MINING

2017-11-2  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. Map of coal mine, waste classifications, water resources, and surrounding geography.

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hyperspectral analysis Archives - International Mining

2021-6-20  This technology uses hyperspectral analysis and AI to optimise ore recovery on mine sites. Plotlogic’s vision is to enable autonomous mining operations using precise grade control with its new AI ore-characterisation technology, bringing technology that can “see and grade ore” to optimise operations and maximise yield, it said.

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COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN

2019-2-12  COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY Lewis J. McGibbney*, Taylor A. Brown**, Heidi A. Clayton**, Xiaomei Wang** * NASA Jet Propulsion Laboratory, California Institute of Technology

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Geometallurgy hyperspectral mineralogy : ALS

The major hurdle in implementing routine spectral analysis is accurately interpreting large volumes of raw spectral data and integrating it into your workflow. aiSIRIS™ by AusSpec resolves these challenges by rapidly processing raw spectra into database-friendly mineral assemblages and parameters. aiSIRIS is a 3rd generation AI spectral interpretation system.

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Integration of hyperspectral and LiDAR data for

2020-10-1  The present study was conducted on four spoil heaps originating from brown coal mining located in the North Bohemian brown coal basin, the largest mining area in the Czech Republic and one of the largest in all of Europe. The total study area is 37.97 km 2 and the terrain elevation ranges from 200 m to 410 m above sea level .

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Characterization of heavy metals in coal gangue

2018-3-1  The Huainan coal mining area is a typical coal mining area with high phreatic water level, and water accumulation in the coal-forming subsidence areas is serious (Yao et al., 2010). The long-term water-rock interaction between water and gangue might lead to migration and transformation of heavy metals, causing heavy metal enrichment in coal ...

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Using hyperspectral indices to measure the effect of

To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an open-pit coalmine in an arid region were selected, and their spectral signals were determined. The present study was conducted near the Wucaiwan open-pit coalmine in the East Junggar Basin in Xi

Get Price

Hyperspectral‐based Inversion of Heavy Metal

2019-1-1  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.

Get Price

COAL AND OPEN-PIT SURFACE MINING

2017-11-2  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. Map of coal mine, waste classifications, water resources, and surrounding geography.

Get Price

Hyperspectral Prediction of Soil Organic Matter

2021-5-24  Hyperspectral Prediction of Soil Organic Matter Content in the Reclamation Cropland of Coal Mining Areas in the Loess Plateau NAN Feng, ZHU Hong-fen, BI Ru-tian College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, Shanxi

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COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN

2019-2-12  COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY Lewis J. McGibbney*, Taylor A. Brown**, Heidi A. Clayton**, Xiaomei Wang** * NASA Jet Propulsion Laboratory, California Institute of Technology

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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. Especially exploration, mine development and ore processing are ...

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Hyperspectral remote sensing applications in mining

2015-3-14  the coal and discarded material and some of the overburden materials used in the rehabilitation of open-pit operations. For the Sokolov test site, which has been flown within two airborne hyperspectral flight surveys in 2009 and 2010, it is aspired to demonstrate the potential of hyperspectral

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Geometallurgy hyperspectral mineralogy : ALS

The major hurdle in implementing routine spectral analysis is accurately interpreting large volumes of raw spectral data and integrating it into your workflow. aiSIRIS™ by AusSpec resolves these challenges by rapidly processing raw spectra into database-friendly mineral assemblages and parameters. aiSIRIS is a 3rd generation AI spectral interpretation system.

Get Price

A Real-Time Coal Content/Ore Grade (C OG) Sensor Final

2020-1-24  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 th e Stillwater Mining Company core room in south-central Montana for analyzing platinum/palladium ore and at the Montana Tech Spectroscopy Lab

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hyperspectral-image-classification GitHub Topics

2020-10-14  python classification hyperspectral-image-classification classification-algorithm coal open-surface-mining surface-mining-activities Updated Dec 8, 2019 Python

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Using hyperspectral indices to measure the effect of

To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an open-pit coalmine in an arid region were selected, and their spectral signals were determined. The present study was conducted near the Wucaiwan open-pit coalmine in the East Junggar Basin in Xi

Get Price

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 correlation analysis must be optimized to improve ...

Get Price

Hyperspectral‐based Inversion of Heavy Metal

2019-1-1  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.

Get Price

Hyperspectral remote sensing for environmental monitoring

2014-1-15  When a hyperspectral remote sensing pilot project was carried out on a portion of Xstrata Coal's operations near Emalahleni in 2011, the technology was also used for an environmental application in coal mining by Digby Wells Environmental and Southern Mapping (in partnership with SpecTIR). The pilot project was deemed

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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. Especially exploration, mine development and ore processing are ...

Get Price

A Real-Time Coal Content/Ore Grade (C OG) Sensor Final

2020-1-24  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 th e Stillwater Mining Company core room in south-central Montana for analyzing platinum/palladium ore and at the Montana Tech Spectroscopy Lab

Get Price

Hyperspectral Image Analysis for Iron Mineral Exploration ...

2019-2-7  Hyperspectral Image Analysis for Iron Mineral Exploration and Spectral Unmixing Study in Kiriburu and Meghahataburu Mining Areas, West Singbhum, Jharkhand Narayan Kayet1, Khanindra Pathak2, Abhisek Chakrabarty3 and Satiprasad Sahoo4 1Department of Remote Sensing GIS, Vidyasagar University, Midnapore, INDIA Email: [email protected]

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林丽新 - NUIST

2018-3-23  Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression[J].Environmental monitoring and assessment, 2016, 188: 97-108.(IF:1.633). Feng Zhao, Yunjia Wang, Shiyong Yan, Lixin Lin.

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COAL Capstone GitHub

python classification hyperspectral-image-classification classification-algorithm coal open-surface-mining surface-mining-activities Python GPL-2.0 9 16 8 (3 issues need help) 1 Updated Dec 8, 2019

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Prediction of soil organic carbon in a coal mining area

2018-4-20  Coal mining has led to increasingly serious land subsidence, and the reclamation of the subsided land has become a hot topic of concern for governments and scholars. Soil quality of reclaimed land is the key indicator to the evaluation of the reclamation effect; hence, rapid monitoring and evaluation of reclaimed land is of great significance. Visible-near infrared (Vis-NIR) spectroscopy has ...

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