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Tag: Bathymetric maps
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  • The Profile Feature Extraction Toolbox User’s Guide

    Abstract: The Profile Feature Extraction Toolbox was created by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) to extract profile features from high-resolution topobathymetric lidar datasets using a transect methodology. This user’s guide details the JALBTCX Toolbox framework, the Profile Feature Extraction Toolbox, and then walks the user through each step within the toolbox to be used alongside example data from Golovin, Alaska. Best practices and example data figures are included for additional assistance to new users. For the full documentation of the JALBTCX Toolbox framework, please see https://cirpwiki.info/wiki/JALBTCX.
  • Bathymetric Inversion from Unmanned Aircraft System (UAS) Video on Inland Waters, Port Huron, Michigan

    Abstract: This Coastal and Hydraulics Engineering Technical Note (CHETN) presents a proof of concept for the use of the cBathy algorithm to estimate bathymetry in an inland water environment. The document summarizes the methods used in collecting and analyzing stationary UAS (unmanned aircraft system) video taken at the Fort Gratiot Lighthouse Park in Port Huron, Michigan, a shoreline overseen by the US Army Corps of Engineers (USACE), Detroit District (LRE). The results presented in this report show that the cBathy algorithm has the potential to measure bathymetry in areas of inland water with sufficient fetch to generate wind swell, similar to how cBathy has been used in open-coast nearshore environments.
  • Rectifying and Stabilizing Planet SkySat Video Collects for Bathymetric Inversions from Space

    Abstract: This Coastal and Hydraulics Engineering Technical Note (CHETN) presents the development of a workflow to process Planet SkySat videos collected from space at the US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL), Field Research Facility (FRF), in Duck, North Carolina, to derive wave kinematics and perform bathymetric inversions. The document summarizes the nine 30–60 s* satellite video collections, demonstrates the accuracy of an automated rectification and stabilization workflow, and applies a new short-dwell version of a common inversion algorithm (cBathy) to demonstrate the utility of short-dwell videos from space providing an initial out-of-the-box assessment of errors for one of the collections, and recommends future avenues of research for improving bathymetric predictions.