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Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India

Received: 28 March 2017    Accepted: 13 April 2017    Published: 31 May 2017
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Abstract

Despite the fact that highly intriguing, historical and world famous architectures are all carved out of rocks or made up of stones, there has been a continuous vacuum in the academic literature for the stone artefacts that requires investigation regarding the spectral response curve or a specific bandwidth to identify structures made up of rocks. Therefore, this research throws some light on the rock-cut caves and sculptures which stand as a heritage monument in many places in and around India by incorporating the multispectral Landsat satellite imagery. This paper aims to corroborate a methodology to find rocks using a discrete Landsat satellite band that would highlight rock based structures from various land cover backgrounds retrieved by multispectral remote sensing methodology. Four different non-examined and two well-known archaeological sites are taken as case studies to analyze and average across the study area samples for best results. Withal it is essential to understand that this research outcome will provide a comprehensive overview of the interesting observations obtained by Landsat satellite imagery with comparatively limited spatial resolution.

Published in Engineering Science (Volume 2, Issue 3)
DOI 10.11648/j.es.20170203.13
Page(s) 69-77
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Multi-spectral, Remote Sensing, Archaeology, Photogrammetry, Rocks, Spectral Signature

References
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[10] J. D. Bossler, Manual of Geospatial Science and Technology, CRC Press: Taylor & Francis Group, 2010.
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  • APA Style

    Bhooma Srinivasan, Friedrich Teichmann. (2017). Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India. Engineering Science, 2(3), 69-77. https://doi.org/10.11648/j.es.20170203.13

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    ACS Style

    Bhooma Srinivasan; Friedrich Teichmann. Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India. Eng. Sci. 2017, 2(3), 69-77. doi: 10.11648/j.es.20170203.13

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    AMA Style

    Bhooma Srinivasan, Friedrich Teichmann. Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India. Eng Sci. 2017;2(3):69-77. doi: 10.11648/j.es.20170203.13

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  • @article{10.11648/j.es.20170203.13,
      author = {Bhooma Srinivasan and Friedrich Teichmann},
      title = {Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India},
      journal = {Engineering Science},
      volume = {2},
      number = {3},
      pages = {69-77},
      doi = {10.11648/j.es.20170203.13},
      url = {https://doi.org/10.11648/j.es.20170203.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20170203.13},
      abstract = {Despite the fact that highly intriguing, historical and world famous architectures are all carved out of rocks or made up of stones, there has been a continuous vacuum in the academic literature for the stone artefacts that requires investigation regarding the spectral response curve or a specific bandwidth to identify structures made up of rocks. Therefore, this research throws some light on the rock-cut caves and sculptures which stand as a heritage monument in many places in and around India by incorporating the multispectral Landsat satellite imagery. This paper aims to corroborate a methodology to find rocks using a discrete Landsat satellite band that would highlight rock based structures from various land cover backgrounds retrieved by multispectral remote sensing methodology. Four different non-examined and two well-known archaeological sites are taken as case studies to analyze and average across the study area samples for best results. Withal it is essential to understand that this research outcome will provide a comprehensive overview of the interesting observations obtained by Landsat satellite imagery with comparatively limited spatial resolution.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India
    AU  - Bhooma Srinivasan
    AU  - Friedrich Teichmann
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    N1  - https://doi.org/10.11648/j.es.20170203.13
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    T2  - Engineering Science
    JF  - Engineering Science
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    AB  - Despite the fact that highly intriguing, historical and world famous architectures are all carved out of rocks or made up of stones, there has been a continuous vacuum in the academic literature for the stone artefacts that requires investigation regarding the spectral response curve or a specific bandwidth to identify structures made up of rocks. Therefore, this research throws some light on the rock-cut caves and sculptures which stand as a heritage monument in many places in and around India by incorporating the multispectral Landsat satellite imagery. This paper aims to corroborate a methodology to find rocks using a discrete Landsat satellite band that would highlight rock based structures from various land cover backgrounds retrieved by multispectral remote sensing methodology. Four different non-examined and two well-known archaeological sites are taken as case studies to analyze and average across the study area samples for best results. Withal it is essential to understand that this research outcome will provide a comprehensive overview of the interesting observations obtained by Landsat satellite imagery with comparatively limited spatial resolution.
    VL  - 2
    IS  - 3
    ER  - 

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Author Information
  • Department of Aerospace Engineering, University of Applied Sciences, Wiener Neustadt, Austria

  • Geospatial Institute of the Austrian Armed Forces (Institut für Milit?risches GeoWesen IMG), Vienna, Austria

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