Dr Mohammad Ashphaq
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To contribute to and develop the research work on the project Tracking food quality at the bottom of marine food webs using machine learning and satellite remote sensing.
Areas of interest
- Marine remote sensing
- Ocean color sensors
- Marine GIS
- Marine cartography
Websites/blogs
Research GateSelected publications
Ashphaq, M., Srivastava, P. K., & Mitra, D. (2023). Preliminary examination of influence ofChlorophyll, Total Suspended Material, and Turbidity on Satellite Derived-Bathymetry estimation
in coastal turbid water. Regional Studies in Marine Science, 102920
Ashphaq, M., Srivastava, P. K., & Mitra, D. (2022). Analysis of univariate linear, robust-linear, and
non-linear machine learning algorithms for satellite-derived bathymetry in complex coastal
terrain. Regional Studies in Marine Science, 56, 102678.
Ashphaq, M., Srivastava, P. K., & Mitra, D. (2022). Evaluation and performance of satellite-derived
bathymetry algorithms in turbid coastal water: a case study of Vengurla rocks. Indian Journal
of Geo-Marine Sciences (IJMS), 51(04), 310-321.
Ashphaq, M., Srivastava, P. K., & Mitra, D. (2022). Role of space technology in synoptical analysis of
opportunity and challenges for revolutionizing the blue economy. Journal of East China
University of Science and Technology, 65(4), 75-91.
Ashphaq, M., Srivastava, P. K., and Mitra, D. (2021). Review of near-shore satellite derived
bathymetry: classification and account of five decades of coastal bathymetry research. Journal
of Ocean Engineering and Science. doi: 10.1016/j.joes.2021.02.006
Ashphaq, M., (2018), Bathymetry Estimation in Turbid Water Using Sentinel 2 Image, Indian
Cartographer, 37, 289–294.
Ashphaq, M. (2017). Nautical Depth: Primer for Safe Navigation in Ports and Harbor. Indian
Cartographer, 37, 289–294.