Filters: Tags: {"type":"USGS Scientific Topic Keyword"} (X) > Extensions: ArcGIS Service Definition (X) > partyWithName: Kevin J Buffington (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (2) Types ArcGIS REST Map Service (3) ArcGIS Service Definition (3) Downloadable (3) Map Service (3) GeoTIFF (2) Raster (2) Contacts Karen M Thorne Western Ecological Research Center U.S. Geological Survey - ScienceBase Ecosystems John Y Takekawa More... Categories Data (3) Data Release - Revised (1) Tags (with Type=USGS Scientific Topic Keyword ) remote sensing (3) View Results as: JSON ATOM CSV

LEAN-Corrected DEM for Suisun Marsh 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 Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the... Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Remote Sensing, San Francisco Bay Estuary, Suisun marsh, USGS Science Data Catalog (SDC), digital elevation models, All tags... elevation, estuary, lidar, wetlands, Fewer tags LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 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, All tags... estuary, lidar, wetlands, Fewer tags LEAN-Corrected Collier County DEM for wetlands 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, All tags... digital elevation models, estuary, lidar, mangroves, marsh, wetlands, Fewer tags