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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Southwest CASC > FY 2012 Projects ( Show direct descendants )

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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...


    map background search result map search result map LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018