Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/47079
Title: | Geomorphic feature extraction to support the Great Lakes Restoration Initiative’s sediment budget and Geomorphic Vulnerability Index for Lake Michigan |
Authors: | Sylvester, Charlene S. Spurgeon, Scott L. McGill, Sean P. Dunkin, Lauren M. |
Keywords: | Geomorphology Remote sensing Optical radar Sedimentation and deposition Sediment transport Michigan, Lake--Coast changes Geospatial data |
Publisher: | Engineer Research and Development Center (U.S.) |
Series/Report no.: | Technical Note (Engineer Research and Development Center (U.S.)) ; no. ERDC/CHL CHETN-XIV-57 |
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). |
Description: | Technical Note |
Gov't Doc #: | ERDC/CHL CHETN-XIV-57 |
Rights: | Approved for Public Release; Distribution is Unlimited |
URI: | https://hdl.handle.net/11681/47079 http://dx.doi.org/10.21079/11681/47079 |
Size: | 16 pages / 4.25 MB |
Types of Materials: | |
Appears in Collections: | Technical Note |
Files in This Item:
File | Description | Size | Format | |
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ERDC-CHL CHETN-XIV-57.pdf | 4.25 MB | Adobe PDF | ![]() View/Open |