DSpace Repository

Bathymetric analysis using multi-spectral satellite data through machine learning algorithms in varying coastal regions of India

Show simple item record

dc.contributor.author Ashphaq, Mohammad
dc.date.accessioned 2023-12-06T07:12:21Z
dc.date.available 2023-12-06T07:12:21Z
dc.date.issued 2023-01
dc.identifier.citation Under the guidance of Dr. Pankaj Kumar Srivastava, Professor, UPES and Dr. Debashis Mitra, Marine and Atmospheric Sciences, Department Indian Institute of Remote Sensing ISRO, Dehradun en_US
dc.identifier.uri http://hdl.handle.net/123456789/4287
dc.description Thesis 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.iso en en_US
dc.publisher School of Engineering, UPES, Dehradun en_US
dc.subject Thesis en_US
dc.subject Petroleum Engineering en_US
dc.subject Earth Sciences en_US
dc.subject Satellite-Derived Bathymetry en_US
dc.subject SDB Algorithms en_US
dc.title Bathymetric analysis using multi-spectral satellite data through machine learning algorithms in varying coastal regions of India en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account