Geomorphic Feature Extraction to Support the Great Lakes Restoration Initiatives Sediment Budget and Geomorphic Vulnerability Index for Lake Michigan

Abstract

This Coastal and Hydraulics Engineering technical note (CHETN) details a Geographic Information Systems (GIS) methodology to produce advanced lidar-derived datasets for use in a coastal erosion vulnerability analysis conducted by the US Army Corps of Engineers (USACE) and other federal partners for the Great Lakes Restoration Initiative (GLRI).

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Document Details

Document Type
Technical Report
Publication Date
May 25, 2023
Accession Number
AD1201982

Entities

People

  • Charlene S. Sylvester
  • Lauren M. Dunkin
  • Scott L. Spurgeon
  • Sean P. McGill

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Application Software
  • Coastal Engineering
  • Data Sets
  • Elevation
  • Engineering
  • Engineers
  • Environmental Protection
  • Feature Extraction
  • Geographic Information Systems
  • Great Lakes
  • Habitats
  • High Resolution
  • Information Systems
  • Lake Erie
  • Lake Michigan
  • Lakes
  • Michigan
  • Resilience
  • United States

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computer Vision.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy