Funder
Ducks Unlimited Canada
US Fish and Wildlife Service
Naval Air Warfare Center, Aircraft Division
Subject
Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics
Reference98 articles.
1. Ahola, R., Chénier, R., Horner, B., Faucher, M.-A., & Sagram, M. (2018). Satellite derived bathymetry for Arctic charting: a review of sensors and techniques for operational implementation within the Canadian Hydrographic Service. Proc. SPIE 10784, Remote Sensing of the Ocean,Sea Ice, Coastal Waters, and Large Water Regions, 1078407.
2. Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data;Aksoy;Adv. Space Res.,2022
3. Google Earth Engine cloud computing platform for remote sensing big data applications: A comprehensive review;Amani;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020
4. Ashphaq, M., Srivastava, P. K., & Mitra, D. (2021). Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research. In Journal of Ocean Engineering and Science (Vol. 6, pp. 340–359). Shanghai Jiaotong University.
5. Analysis of univariate linear, robust-linear, and non-linear machine learning algorithms for satellite-derived bathymetry in complex coastal terrain;Ashphaq;Reg. Stud. Mar. Sci.,2022