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LEAN-corrected San Francisco Bay digital elevation model, 2018

Dates

Publication Date
Start Date
2009-06-01
End Date
2018-02-01

Citation

Buffington, K.J., and Thorne, K.M., 2019, LEAN-corrected San Francisco Bay digital elevation model, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P97J9GU8.

Summary

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA Sea-Level Rise Viewer [...]

Contacts

Point of Contact :
Karen M Thorne
Originator :
Kevin J Buffington, Karen M Thorne
Metadata Contact :
Kevin J Buffington
USGS Mission Area :
Ecosystems
SDC Data Owner :
Western Ecological Research Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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LEAN-Corrected San Francisco Bay Digital Elevation Model, 2018.xml
Original FGDC Metadata

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18.09 KB
1.33 GB
Extension: LEAN Corrected SFBay DEM.zip
SFBayDEM.sd 251.26 MB
thumbnail.png thumbnail 5.22 KB

Purpose

The lean-corrected DEM is appropriate for use in vegetated baylands.

Rights

The authors of these data require that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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ArcGIS Mapping Service

WMS Service

Communities

  • National and Regional Climate Adaptation Science Centers
  • Southwest CASC
  • USGS Data Release Products
  • USGS Western Ecological Research Center

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P97J9GU8

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