Dr Mohammad Ashphaq
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.