Satellite derived bathymetry in the Canadian Archipelago using multispectral and LiDAR space-based remote sensing ...

• Main Author: Treadwell, Natalie Ki author
• Format: Thesis
• Language: English
• Published: University of Southern California Digital Library (USC.DL) 2022
• Subjects: Geographic Information Science and Technology degree program; Master of Science degree; College of Letters, Arts and Sciences school; Arctic; Arctic Ocean; Bellot Strait; Somerset Island; Canadian Archipelago; Sea ice
• Online Access: https://dx.doi.org/10.25549/usctheses-ouc111313293; https://digitallibrary.usc.edu/asset-management/2A3BF1R7D2VZI

Just over 14% of the Canadian Arctic Ocean has been surveyed using multi-beam sonar mapping techniques, and comprehensive charting of navigable shallow water is even more scarce. With the use of LiDAR satellites and multispectral sensors, optically shallow water that is free of sea ice can be modeled remotely through a process called Satellite Derived Bathymetry (SDB). Using two empirical algorithms, the multiband value algorithm (MBVA) and the two-band value algorithm (TBVA), bottom depth in the Bellot Strait is interpolated. The study area is between 71? and 73? of latitude where North America meets the Somerset Island. Shallow water depth can be interpolated using LiDAR data which is collected by the ICESat-2 satellite, equipped with the Advanced Topographic Laser Altimeter System that records ellipsoidal heights with uncertainties up to 0.70 m. The multispectral data is provided by the Landsat-8 Operational Land Imager constellation at 30 m resolution. The MBVA and TBVA use refraction corrected LiDAR ...