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Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software version 5.0 for Northern California

Dates

Publication Date
Time Period
2024

Citation

Kratzmann, M.G., Farris, A.S., and Himmelstoss, E.A., 2024, National Shoreline Change—A GIS compilation of vector shorelines and associated shoreline change data from the 1800s to 2010s for the coast of California: U.S. Geological Survey data release, https://doi.org/10.5066/P94J0K7Z.

Summary

In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority area. One component [...]

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Attached Files

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NorCal_2009_2010_2011_lidar_uncertainty.CPG 5 Bytes text/plain
NorCal_2009_2010_2011_lidar_uncertainty.dbf 1.46 MB text/plain

Purpose

The uncertainty table includes: measurement and positional errors associated with the 2009/2010/2011 lidar shoreline for California, a proxy-datum bias value that corrects for the unidirectional offset between the mean high water (MHW) elevation of the lidar and the high water line (HWL) shorelines, as well as a measurement uncertainty in the total water level. The dataset contains a common attribute with the M-values stored for the lidar data within the shorelines shapefile. These tabular data are used in conjunction with the shorelines file to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) national shoreline change effort. Please note there are some locations where multiple historical shoreline positions exist but there is no proxy-datum bias value. Rates of long-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) v5.0. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.

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