2022 USGS Lidar DEM: Yurok Tribal Lands, CA ca2022_yurok_dem_m10429 eng Dataset EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION elevation CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA VERTICAL LOCATION > LAND SURFACE LIDAR > Light Detection and Ranging Airplane > Airplane Original Product: These are Digital Elevation Model (DEM) data for the USGS Yurok Tribe Ancestral Lands 3DEP LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a hydro-flattened DEM using LP360 2024.1.30.2. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 1,320 Square Kilometers of Northern California covering the lower Klamath River and surrounding areas. Original Dataset Description: RAW flight line swaths were processed to create 1,456 classified LAS 1.4 files delineated in 1,000 m x 1,000 m tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, Maximum Surface Height Rasters, Swath Separation Images (SSIs), and 3D breaklines of rivers and lakes within the study area. Ground conditions: Snow free, no unusual inundation. Coastal Areas were collected within plus or minus 120 minutes of predicted low tide at Crescent City, CA (841-9750). This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services. OCM Partners OCM Partners https://www.fisheries.noaa.gov/inport/item/77700 https://www.fisheries.noaa.gov/inport/item/49404 northlimit=41.6847408; eastlimit=-123.6095125; southlimit=41.1673048; westlimit=-124.1422284; start=2022-10-07; end=2022-12-06; https://creativecommons.org/publicdomain/zero/1.0/ To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. None 2025