Eelgrass distributions derived from a towed underwater video survey of the Nisqually River delta, 2017

This portion of the USGS data release presents eelgrass distributions derived from towed underwater video surveys of the Nisqually River delta, Washington in 2017 (USGS Field Activity Number 2017-614-FA). Eelgrass data were collected from the R/V George Davidson equipped with a towed underwater video system and global navigation satellite system (GNSS) receiver. The underwater video system consisted of a Splashcam standard definition video camera connected to a Sony GV-D1000 video monitor and tape recorder. Positioning of the survey vessel was determined at 1 Hz intervals using a Trimble R7 GNSS receiver and Trimble Zephyr Model 2 antenna. The positioning data from the GNSS were encoded onto the audio track of the digital video recording using Red Hen Systems (RHS) VMS200 hardware. Underwater video data were recorded as the vessel navigated along a series of shore-perpendicular transects at speeds between 1 and 2 knots. The underwater video recording was later reviewed and the presence or absence of eelgrass was determined for each 1-s segment of video tape. These data were used to evaluate the classification of single-beam sonar data acquired during the same time period.

Data and Resources

Field Value
accessLevel public
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identifier USGS:5e95ff8982ce172707f253b5
metadata_type geospatial
modified 20201019
old-spatial -122.7460220, 47.1044550, -122.6841300, 47.1185910
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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spatial {"type": "Polygon", "coordinates": [[[-122.7460220, 47.1044550], [-122.7460220, 47.1185910], [ -122.6841300, 47.1185910], [ -122.6841300, 47.1044550], [-122.7460220, 47.1044550]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • aquatic-vegetation
  • billy-frank-jr-nisqually-national-wildlife-refuge
  • biota
  • ckan
  • cmhrp
  • coastal-and-marine-hazards-and-resources-program
  • flora
  • geo
  • geoss
  • gps-measurement
  • national
  • nisqually-river
  • north-america
  • pacific-coastal-and-marine-science-center
  • pcmsc
  • pierce-county
  • puget-sound
  • salish-sea
  • sea-floor-characteristics
  • thurston-county
  • u-s-geological-survey
  • underwater-photography
  • united-states
  • usgs
  • usgs-5e95ff8982ce172707f253b5
  • usgs-coastal-habitats-in-puget-sound-project-chips
  • video-observation
isopen False
license_id notspecified
license_title License not specified
maintainer PCMSC Science Data Coordinator
maintainer_email pcmsc_data@usgs.gov
metadata_created 2025-11-22T19:22:49.248208
metadata_modified 2025-11-22T19:22:49.248212
notes This portion of the USGS data release presents eelgrass distributions derived from towed underwater video surveys of the Nisqually River delta, Washington in 2017 (USGS Field Activity Number 2017-614-FA). Eelgrass data were collected from the R/V George Davidson equipped with a towed underwater video system and global navigation satellite system (GNSS) receiver. The underwater video system consisted of a Splashcam standard definition video camera connected to a Sony GV-D1000 video monitor and tape recorder. Positioning of the survey vessel was determined at 1 Hz intervals using a Trimble R7 GNSS receiver and Trimble Zephyr Model 2 antenna. The positioning data from the GNSS were encoded onto the audio track of the digital video recording using Red Hen Systems (RHS) VMS200 hardware. Underwater video data were recorded as the vessel navigated along a series of shore-perpendicular transects at speeds between 1 and 2 knots. The underwater video recording was later reviewed and the presence or absence of eelgrass was determined for each 1-s segment of video tape. These data were used to evaluate the classification of single-beam sonar data acquired during the same time period.
num_resources 2
num_tags 29
title Eelgrass distributions derived from a towed underwater video survey of the Nisqually River delta, 2017