Filters: Categories: Data (X) > partyWithName: Karen M Thorne (X) > Types: Raster (X)
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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...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Remote Sensing,
San Francisco Bay,
USGS Science Data Catalog (SDC),
biota,
digital elevation models,
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 model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Collier county,
Remote Sensing,
USGS Science Data Catalog (SDC),
biota,
cypress,
Surface elevation of the mangrove forest is important for understanding current and future vulnerability to sea-level rise. Due to the lack of LiDAR data and insufficient accuracy of space-borne synthetic aperture radar-derived elevation models, we leveraged data from differential leveling surveys to generate a digital elevation model (DEM) for the mangrove forest of Pohnpei. We created a general slope model with a shore-normal transect of elevation and a general additive model (GAM) spine. To create a continuous DEM, the GAM spline was then stretched across a grid representing the width of mangrove, created using digitized boundaries of the seaward and interior mangrove edge. This simplified approach assumes that...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Pacific Ocean,
Pohnpei,
Senyavin Islands,
Tidal Mangrove Forest,
digital elevation model,
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