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Mineralogical Study of Lunar South Pole Region Using Chandrayaan-1 Hyperspectral (HySI) Data

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1381))

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Abstract

The main focus of the presented work was to better predict the surface mineralogy from the Chandrayaan-1 hyperspectral data set covering the area from South Pole region. To address the space weathering effect and to quantify mineralogy the Bi-directional reflectance function have been implemented. The implemented model was tested against two standard lunar laboratory mixtures and with the Apollo 10084 bulk soil sample. About 85 spectra were initially selected from varying locations and only active spectra with significant absorption were used for modeling. The minerals like plagioclase and Clinopyroxene were identified. Many spectra exhibits more iron content simulating mature area. Model result show no olivine content and very low Orthopyroxene content may be because of more crustal thickness, no impact would have penetrated to the lower mantle. Study reveals the potential of hyperspectral data multiplexed with mathematical model for not only mineral quantification but also helps to predict other associated parameters like grain size, iron fraction, phase function, however the spectra from mature soil and the limited HySI coverage acts as challenge for modelling process, modeling the data at longer wavelengths will be an advantage to improve the accurate mineral prediction.

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Authors and Affiliations

  1. Department of Computer Science, Milliya Arts, Science and Management Science College, Beed, 431122, Maharashtra, India

    R. Mohammed Zeeshan, B. Sayyad Shafiyoddin & Ajit Yadav

  2. Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Auranagabad, India

    R. R. Deshmukh

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  1. R. Mohammed Zeeshan
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  2. B. Sayyad Shafiyoddin
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  3. R. R. Deshmukh
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  4. Ajit Yadav
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Correspondence to R. Mohammed Zeeshan .

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Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

    Bharti Gawali

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Zeeshan, R.M., Shafiyoddin, B.S., Deshmukh, R.R., Yadav, A. (2021). Mineralogical Study of Lunar South Pole Region Using Chandrayaan-1 Hyperspectral (HySI) Data. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1381. Springer, Singapore. https://doi.org/10.1007/978-981-16-0493-5_15

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  • DOI: https://doi.org/10.1007/978-981-16-0493-5_15

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