Willapa Bay, Washington Benthic Habitats 1995 Substrate

Metadata Updated: February 7, 2018

In June 1995, the Columbia River Estuary Study Taskforce (CREST) acquired 295 true color aerial photographs (1:12,000) of Willapa Bay, Washington, from the State of Washington Department of Transportation (WDOT), suitable for the interpretation of submerged rooted aquatic vascular plant populations. In August 1995, field surveys were conducted by a team composed of staff from Oregon State University, CREST, and the Washington Department of Natural Resources, for spectral signature development and verification as well as habitat observation. The submerged plant populations were interpreted and mapped from the photographs and transferred onto State of Washington 1:12,000 Orthophoto maps (USGS 7.5' quadrangle). The interpretations were digitized into a geographic information system (GIS) for the creation of a habitat polygon map. All interpretation, digitization and photography acquisition were according to stringent parameters detailed in the Coastal Change Analysis Program (C-CAP) Protocol (NMFS Technical Document 123). Two datasets were used as ancillary information to complement the interpreted habitat polygons. In 1996, color aerial videography was obtained from WDOT for post mapping verification and accuracy assessments. Marine Resources Consultants, Inc. and the University of Washington collected videography from 29 underwater transects to verify the deep-water edge of selected seagrass beds in the southern portion of the bay. The date, time, geographic coordinates and depth were updated every 2 to 4 seconds and recorded directly on the videotape images. Latitude and longitude were provided by a differentially corrected global positioning system (GPS). The initial presence/absence map of SAV produced by CREST was later segmented by depth to discriminate between two very different seagrass communities and support field accuracy assessment. Final field verification of the data by personnel from CREST and the NOAA Office for Coastal Management was conducted in the Summer of 1997. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02."

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Dates

Metadata Date March 30, 2017
Metadata Created Date February 7, 2018
Metadata Updated Date February 7, 2018
Reference Date(s) January 1, 2015 (publication)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOAA CSW Harvest Source

Graphic Preview

Sample of benthic cover data

Additional Metadata

Resource Type Dataset
Metadata Date March 30, 2017
Metadata Created Date February 7, 2018
Metadata Updated Date February 7, 2018
Reference Date(s) January 1, 2015 (publication)
Responsible Party NOAA Office for Coastal Management (Point of Contact)
Contact Email
Access Constraints Use Constraints: None, Access Constraints: None
Bbox East Long -123.7535
Bbox North Lat 46.7546
Bbox South Lat 46.3654
Bbox West Long -124.0962
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview Description Sample of benthic cover data
Graphic Preview File https://coast.noaa.gov/data/Images/Collections/BenthicCover_thumbnail.jpg
Graphic Preview Type JPEG
Guid
Harvest Object Id 810ea8e6-f293-4a97-bb55-aeef59d7ac88
Harvest Source Id 2aed8e29-fc5b-4cde-aa66-fb1118fd705e
Harvest Source Title NOAA CSW Harvest Source
Licence NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True

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