US Migrating
type: Agent

Original Metadata
type: Distribution
access URL: https://data.usgs.gov/datacatalog/metadata/USGS.5eb9780782ce25b5135d25e4.xml
media type: text/xml
description: The metadata original format
format: XML
issued: 2022-07-28T20:54:08.539912
modified: 2025-11-20T17:45:11.288577

Potomac River ADCP Bathymetric Survey, October 2019
type: Dataset
contact point: Organization
  fn: James M Duda
keyword: amerigeoss
keyword: ckan
keyword: amerigeo
keyword: state-of-maryland
keyword: national
keyword: brunswick-family-campground
keyword: geography
keyword: shepherdstown
keyword: point-of-rocks
keyword: geospatial-datasets
keyword: land-surveying
keyword: united-states
keyword: usgs-5eb9780782ce25b5135d25e4
keyword: whites-ferry
keyword: state-of-west-virginia
keyword: state-of-virginia
keyword: geoss
keyword: geo
keyword: acoustic-doppler-current-profiling
keyword: gps-measurement
keyword: bathymetry
keyword: north-america
keyword: potomac-river
theme: {geospatial}
description: Water-penetrating LiDAR technology was used to remotely sense bathymetric elevation data as part of a spatial data acquisition on the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area on October 21-24, 2019. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey grade real-time kinematic (RTK) horizontal and vertical coordinates of the ADCP transducer face. The riverbed elevations were collected using the ADCP with WinRiverII to export for post-processing in Microsoft Excel and ArcMap. The GNSS equipment was programmed to continuously collect an observation every second and the ADCP was programmed to continuously collect an observation ranging from every 1 second to 6 seconds. The corrected depths from the 4 ADCP beams were averaged and then subtracted from the GNSS derived elevation of the ADCP transducer face to compute an elevation of the riverbed.
issued: 2025-11-20T17:45:11.301119
modified: 20200827
spatial: Location

Digital Data
type: Distribution
access URL: https://doi.org/10.5066/P9GOZZYX
media type: application/http
description: Landing page for access to the data
format: XML
issued: 2022-07-28T20:54:08.539919
modified: 2025-11-20T17:45:11.289017