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Archaeological Investigations of Honnavar Fort in Uttara Kannada District of Karnataka, India Using Geospatial Technology

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Abstract

The present study identified the extant remains of the Portuguese fort in Honnavar town, India. To identify archaeological features, high resolution multi-spectral remote sensing and digital elevation model data as well as historical documents were analysed using remote sensing (RS) and geographic information system (GIS) platform. To better understand the patterns and distributions of archaeological ruins, enhancement and classification techniques were applied to the images. The maps were overlaid on a digital elevation model (DEM) to confirm the existence of fort. To aid in this investigation, an extensive GIS database of the archaeological site was developed using a combination of results derived from RS techniques, historical data sources, and field studies. The results of this study are beneficial to the archaeologists and administrators to conserve the ruins of the historical Honnavar fort.

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Acknowledgements

The authors thank the Department of Marine Geology, Mangalore University for extending facilities for carrying out the research work. Mr. Dinesh Naik is acknowledged for his constant support and assistance in the field investigation. The authors also thank the reviewers for the constructive comments on the work carried out, which helped to improve the manuscript substantially.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Contributions

PGD performed conceptualization, data collection, data analysis, mapping and writing original draft. Ateeth Shetty provided inputs on data analysis, reviewed and edited the manuscript. All authors read and approved the final version of the manuscript.

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Correspondence to Praveen G. Deshbhandari.

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Deshbhandari, P.G., Shetty, A. Archaeological Investigations of Honnavar Fort in Uttara Kannada District of Karnataka, India Using Geospatial Technology. J Indian Soc Remote Sens (2024). https://doi.org/10.1007/s12524-024-01855-9

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  • DOI: https://doi.org/10.1007/s12524-024-01855-9

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