2,314 datasets found

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  • 3DEP 1-m DEM Dataset: NY_FEMA_R2L2_OrleansCo_2014

    This dataset is comprised of multiple tiles that collectively form the standard one-meter resolution digital elevation model (DEM) produced through the 3D Elevation Program...
  • WV_FEMAHQ_B3_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • ID_Elk_2011

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • P401.PB.LY_.30

    The EarthScope Consortium streams three-dimensional GNSS high rate (1 Hz) position time series from nearly a thousand GNSS stations to study earthquakes, volcanoes, tsunamis,...
  • OAES.PW.LY_.00

    The EarthScope Consortium streams three-dimensional GNSS high rate (1 Hz) position time series from nearly a thousand GNSS stations to study earthquakes, volcanoes, tsunamis,...
  • ME_MidCoast_2_2021

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • Offset Elliptical Normal Parameters for Wind Climate of USA Prescribed...

    The dataset presents parameters of the Offset Elliptical Normal model for wind climate analysis. Parameters have been obtained for sites across the USA where prescribed burning...
  • UT_FEMAHQ_B1_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • Wildfire Suppression Difficulty Index 97th Percentile

    SDI (Rodriguez y Silva et al. 2020) factors in topography, fuels, expected fire behavior under prevailing conditions, fireline production rates in various fuel types with and...
  • AK_NorthSlope_B2_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • USGS_LPC_AR_LakeConwayPointRE_2014_LAS_2016

    This dataset includes a GeoJSON spatial index and a 3D visualization link for the USGS_LPC_AR_LakeConwayPointRE_2014_LAS_2016 project. This data collection of the 3D Elevation...
  • LA_Sabine_River_Lidar_A1_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • NM_MRCOG_B1_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • KS_Statewide_B6A_2018

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • P368.PW.LY_.00

    The EarthScope Consortium streams three-dimensional GNSS high rate (1 Hz) position time series from nearly a thousand GNSS stations to study earthquakes, volcanoes, tsunamis,...
  • FL_MiamiDadeCo_2007

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • CO_NWCO_2_2020

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • NC_HurricaneFlorence_2_2020

    Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS...
  • National Health and Nutrition Examination Survey (NHANES)

    NHANES is a program of studies designed to assess the health and nutritional status of adults and children in the United States. It is unique because it combines interviews with...