Volume 2, Issue 3, September 2017, Page: 69-77
Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India
Bhooma Srinivasan, Department of Aerospace Engineering, University of Applied Sciences, Wiener Neustadt, Austria
Friedrich Teichmann, Geospatial Institute of the Austrian Armed Forces (Institut für Militärisches GeoWesen IMG), Vienna, Austria
Received: Mar. 28, 2017;       Accepted: Apr. 13, 2017;       Published: May 31, 2017
DOI: 10.11648/j.es.20170203.13      View  2179      Downloads  131
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.
Multi-spectral, Remote Sensing, Archaeology, Photogrammetry, Rocks, Spectral Signature
To cite this article
Bhooma Srinivasan, Friedrich Teichmann, Analysis of Landsat 8 Multispectral Satellite Imagery for the Identification of Rock-Based Archaeological Sites in India, Engineering Science. Vol. 2, No. 3, 2017, pp. 69-77. doi: 10.11648/j.es.20170203.13
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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