hyperspectral for al mining

  • 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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  • 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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  • 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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  • (PDF) A 91-Channel Hyperspectral LiDAR for

    In this letter, a novel instrument, a 91-channel hyperspectral LiDAR (HSL) using an acousto-optic tunable filter (AOTF) as spectroscopic device is designed, which

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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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  • Hyperspectral signature of coal bands - black over black

    Hyperspectral signature of coal bands - black over black, in Proceedings Tenth International Mining Geology Conference 2017, pp 457-458 (The Australasian Institute of Mining and Metallurgy: Melbourne).

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  • OreSense hyperspectral imaging for automated ore

    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.

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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 is a Python library for processing hyperspectral imagery from remote sensing devices such as the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS-C AVIRIS-NG). COAL was originally developed as a 2016 – 2017 Senior Capstone collaboration between scientists at the Jet Propulsion Laboratory (JPL) and computer science

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  • Use of hyperspectral imagery to detect affected vegetation ...

    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, ...

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

    2019-9-12  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 be investigated and established, which is of significance for improving the coal mining efficiency and safety. In this ...

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  • Hyperspectral remote sensing for coal-bed methane ...

    The results show that the carbonate and hydrocarbons concentrated in Jincheng Coal Mining Area. This approach, using the hyperspectral datasets, is advantageous for CBM exploration. View full-text

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

    2019-2-12  Coal and Open-pit surface mining impacts on American Lands (COAL) 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

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  • Using hyperspectral indices to measure the effect of mine ...

    Using hyperspectral indices to measure the effect of mine dust on the growth of three typical desert plants. Zhang PF, Guli, Yin JQ, Bao AM, Yao F, Liu JP. 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 ...

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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 remote sensing for coal-bed methane ...

    Based on the theory of coal-bed methane(CBM) geology, the micro-seeps of hydrocarbon cause geochemical alterations in rocks and soil. In this study, the hyperspectral instrument, Hyperion, was used to detect the alterations and hydrocarbons on the land surface of CBM reservoirs. Our study area is in the Qinshui Basin, China. Utilizing Hyperion datasets, the endmember spectra of specific ...

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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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  • 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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  • Characterization of heavy metals in coal gangue-reclaimed ...

    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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  • 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, ...

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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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  • Hyperspectral analysis of soil organic matter in coal ...

    2021-5-20  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 ...

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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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  • hyperspectral-image-classification GitHub Topics

    2021-4-6  python classification hyperspectral-image-classification classification-algorithm coal open-surface-mining surface-mining-activities Updated Dec 8, 2019 Python

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  • 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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  • Specim, a global leader in hyperspectral ... -

    2015-9-8  The company, which was founded in 1995 by three former researchers of VTT Technical Research Centre of Finland Ltd, is a global forerunner in hyperspectral technology. The

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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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  • 林丽新 - nuist.edu.cn

    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).

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  • 陈宇-中国矿业大学环境与测绘学院

    2018-5-10  l教育与学历姓名:陈宇学位:博士职称:讲师研究方向:InSAR地表形变监测与误差分析;资源环境遥感Email: [email protected]教育与学历2014.03-2017.03地球与行星科学博士法国图卢兹大学2010.09-2012.06摄影测量与...

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