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Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers Alaska CASC Midwest CASC National CASC North Central CASC Northeast CASC More... Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (1) Types ArcGIS REST Map Service (3) ArcGIS Service Definition (3) Downloadable (3) Map Service (3) GeoTIFF (1) Raster (1) Contacts Kevin J Buffington Karen M Thorne U.S. Geological Survey - ScienceBase Western Ecological Research Center Forest and Rangeland Ecosystem Science Center More... Categories Data (3) Data Release - Revised (1) Tag Types Theme (3) USGS Scientific Topic Keyword (3) Harvest Set (3) Place (2) Tag Schemes USGS Thesaurus (3) ISO 19115 Topic Category (3) Marine Realms Information Bank (MRIB) keywords (2) Common geographic areas (2) View Results as: JSON ATOM CSV Browse Folder

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 Standardized Precipitation-Evapotranspiration Index for western United States, 2001-2014, derived from gridMET climate estimates These data are 30m by 30 m grids of the mean Standardized Precipitation-Evapotranspiration Index (SPEI) between 2001-2014 in the western United States. The SPEI index was developed by Sergio M. Vicente-Serrano and coauthors (https://spei.csic.es/index.html). Source evapotranspiration and precipitation data were generated by gridMET (http://www.climatologylab.org/gridmet.html). Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Climatology, Remote Sensing, USGS Science Data Catalog (SDC), atmospheric and climatic processes, climatology, All tags... climatologyMeteorologyAtmosphere, droughts, environment, precipitation (atmospheric), remote sensing, Fewer tags