Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012–2020

Vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of digital elevation models (DEMs) developed using light detection and ranging data acquisition on a per-project basis to gauge whether the datasets meet quality and accuracy standards. To better understand the vertical accuracy of DEMs along the Gulf of Mexico and Atlantic coast, we collated over 5200 contractor points for this region that were collected for per-project-level analyses produced for assessing DEMs acquired for the U.S. Geological Survey’s 3D Elevation Program. Upon pooling these data, we integrated attributes related to land cover from the National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 10 m BETA land cover product. Vegetative state, a derivative of land cover, was described as non-vegetated or vegetated. USGS Lidar Base Specification Quality Level (NGP, 2022), a derivative of point spacing, was obtained via the metadata of the elevation data, and regional classifiers were assigned based on dividing the coastal region using Everglades National Park and the North Carolina-Virginia border.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://ddi.doi.gov/usgs-data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier http://datainventory.doi.gov/id/dataset/usgs-64b8833ed34e70357a2b56a0
metadata_type geospatial
modified 2024-07-08T00:00:00Z
old-spatial -98.9685, 23.5539, -66.9234, 48.6035
publisher U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 56fe4a32f493461dcd27418b6c6188c74579cf6a092aedbab44cc0745cf357af
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-98.9685, 23.5539], [-98.9685, 48.6035], [ -66.9234, 48.6035], [ -66.9234, 23.5539], [-98.9685, 23.5539]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • alabama
  • atlantic
  • biota
  • coastal-processes
  • connecticut
  • delaware
  • digital-elevation-models
  • emergent-wetland
  • environment
  • estuarine-coastal
  • farming
  • florida
  • forested-wetland
  • georgia
  • gps-measurement
  • gulf-of-mexico
  • land-use-and-land-cover
  • lidar
  • louisiana
  • maine
  • marsh-ecosystems
  • maryland
  • massachusetts
  • mississippi
  • new-york
  • north-carolina
  • remote-sensing
  • texas
  • usgs-64b8833ed34e70357a2b56a0
  • wetland-ecosystems
isopen False
license_id notspecified
license_title License not specified
maintainer Nicholas M Enwright
maintainer_email enwrightn@usgs.gov
metadata_created 2025-09-25T00:16:46.184106
metadata_modified 2025-09-25T00:16:46.184117
notes Vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of digital elevation models (DEMs) developed using light detection and ranging data acquisition on a per-project basis to gauge whether the datasets meet quality and accuracy standards. To better understand the vertical accuracy of DEMs along the Gulf of Mexico and Atlantic coast, we collated over 5200 contractor points for this region that were collected for per-project-level analyses produced for assessing DEMs acquired for the U.S. Geological Survey’s 3D Elevation Program. Upon pooling these data, we integrated attributes related to land cover from the National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 10 m BETA land cover product. Vegetative state, a derivative of land cover, was described as non-vegetated or vegetated. USGS Lidar Base Specification Quality Level (NGP, 2022), a derivative of point spacing, was obtained via the metadata of the elevation data, and regional classifiers were assigned based on dividing the coastal region using Everglades National Park and the North Carolina-Virginia border.
num_resources 2
num_tags 38
title Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012–2020