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Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4287
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dc.contributor.authorAshphaq, Mohammad-
dc.date.accessioned2023-12-06T07:12:21Z-
dc.date.available2023-12-06T07:12:21Z-
dc.date.issued2023-01-
dc.identifier.citationUnder the guidance of Dr. Pankaj Kumar Srivastava, Professor, UPES and Dr. Debashis Mitra, Marine and Atmospheric Sciences, Department Indian Institute of Remote Sensing ISRO, Dehradunen_US
dc.identifier.urihttp://hdl.handle.net/123456789/4287-
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Petroleum Engineering & Earth Sciences)en_US
dc.language.isoenen_US
dc.publisherSchool of Engineering, UPES, Dehradunen_US
dc.subjectThesisen_US
dc.subjectPetroleum Engineeringen_US
dc.subjectEarth Sciencesen_US
dc.subjectSatellite-Derived Bathymetryen_US
dc.subjectSDB Algorithmsen_US
dc.titleBathymetric analysis using multi-spectral satellite data through machine learning algorithms in varying coastal regions of Indiaen_US
dc.typeThesisen_US
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