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Short Citation:
Office of National Marine Sanctuaries, 2023: hab118_0503b -- Habitat polygons for HMPR-118-2005-03b survey in Olympic Coast national marine sanctuary.,

Item Identification

Title: hab118_0503b -- Habitat polygons for HMPR-118-2005-03b survey in Olympic Coast national marine sanctuary.
Short Name: hab118_0503b
Status: In Work
Publication Date: 2007-05

Benthic habitat polygon coverages are being created for the Olympic Coast national marine sanctuary (OCNMS).ROV, towed camera sled, bathymetry data, sedimentary samples, and sonar mapping have been integrated to describe thegeological, biological, and oceanographic aspects of habitat. OCNMS has collected side scan sonar and video data toproduce polygon coverages. The habitat polygons have abbributes for megahabitat, bottom induration, mesohabitat,macrohabitat and biology (where direct observations are available), polygon area and perimeter.


These data are intended for science researchers, students, policy makers, and the general public. The datacan be used with geographic information systems (GIS) software to display benthic information.



Supplemental Information:

Additional information about the field activities from which this data set was derived are available online at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
NOS Data Explorer Topic Category Environmental Monitoring
None fisheries
None geology
None habitat
None lithology
None seafloor

Spatial Keywords

Thesaurus Keyword
None Juan de Fuca
None Olympic Coast
None Washington

Physical Location

Organization: Office of National Marine Sanctuaries
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: vector digital data
Distribution Liability:

Please recognize the Olympic Coast national marine sanctuary (OCNMS) as the source of these data.The Olympic Coast National Marine Sanctuary nor any of their employees, make any warranty, express or implied, includingthe warranties of merchantability and fitness for a particular purpose, or assumes any legal liability or responsibilityfor the accuracy, completeness, or usefulness of any information, apparatus, product or process disclosed, or representsthat its use would not infringe privately owned rights. Original data elements may have been compiled from various sources.Spatial nformation may not meet National Mapping Accuracy Standards. This information may be updated, corrected, orotherwise modified without notification. For additional information about this data contact the Olympic Coast nationalmarine sanctuary.

Data Set Credit: Steven S. IntelmannGuy Cochrane

Support Roles

Data Steward

CC ID: 499149
Date Effective From: 2007-05
Date Effective To:
Contact (Position): OCNMS GIS Coordinator
Address: 115 East Railroad Ave Suite 301
Port Angeles, WA 98362
Email Address:


CC ID: 499151
Date Effective From: 2007-05
Date Effective To:
Contact (Position): OCNMS GIS Coordinator
Address: 115 East Railroad Ave Suite 301
Port Angeles, WA 98362
Email Address:

Metadata Contact

CC ID: 499152
Date Effective From: 2007-05
Date Effective To:
Contact (Position): OCNMS GIS Coordinator
Address: 115 East Railroad Ave Suite 301
Port Angeles, WA 98362
Email Address:

Point of Contact

CC ID: 499150
Date Effective From: 2007-05
Date Effective To:
Contact (Position): OCNMS GIS Coordinator
Address: 115 East Railroad Ave Suite 301
Port Angeles, WA 98362
Email Address:


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 499155
W° Bound: -125.003647
E° Bound: -124.895699
N° Bound: 48.405393
S° Bound: 48.339316

Extent Group 1 / Time Frame 1

CC ID: 499154
Time Frame Type: Discrete
Start: 2005-06-18

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 587492
Complex Object Present?: Yes
Complex Object Count: 5131
Curve Object Present?: Yes
Curve Object Count: 11073

Access Information

Security Class: Unclassified
Data Access Constraints:


Data Use Constraints:

Not suitable for navigation.

Distribution Information

Distribution 1

CC ID: 499156
Download URL:

Downloadable Data

File Type (Deprecated): Unknown
File Size: 2.852



CC ID: 499147
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 499168
Activity Date/Time: 2007-03-13

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 499167
Activity Date/Time: 2017-04-05

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 587490
Activity Date/Time: 2017-09-13

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 718882
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Technical Environment


Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog

Data Quality

Horizontal Positional Accuracy:

Accuracy of the horizontal coordinates is on the order of 10-30m based on theuncertainty in position of side scan sonar towfish relative to ships position. Horizontal layback is more accurate thanlateral offsets, since any lateral offset in the towfish position (due to side currents) is unaccounted for in the laybackcalculations.

Completeness Report:

Mesohabitat and macrohabitat observations are missing since no video groundtruthing had been conducted in this area at the time of publication.

Conceptual Consistency:

Polygon topology present. Each polygon has a label and all polygons are closed.


Process Steps

Process Step 1

CC ID: 499145

Geotiff images were converted to raw binary files and processed according to:Cochrane, G.R., and K.D. Lafferty, 2002. Use of acoustic classification of side scan sonar data for mapping benthichabitat in the Northern Channel Islands, California. Continental Shelf Research. 22: 683-690.The raw entropy, homogogeneity, and side scan images were imported into Leica Geosystems Imaginesoftware and stacked into a single multispectral file. Training signatures were digitized into three classes representing hard, mixed, and soft sediment. Supevised classification was then peformed using a maximum likelihood decision rule. The multispectral file was then converted to a grey scale image and reclassed to 3 categories representing the same as the digitized signatures. Individual sediment class images were exported as raw binary files and imported into Adobe Photoshop where misclassifed pixels were removed or reclassed with help of digital overlay with the side scan image. Each sediment class image was then reimported into Erdas and then all merged into a single file where the final product was exported as a Geotiff representing seafloor sediment hardness. The MajorityFilter command in ArcInfo (with Eight|Half parameters) was run on the image to reduce the number of features, essentially smoothing the data through a neighborhood analysis. The raster image was then converted topolygon features in ArcInfo. Sediment grab data and video information were used as a validation tool. Where video dataexisted, polygons were manually split to attach macrohabitat attributes.

Process Date/Time: 2005-01-01 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity hab118_0503b.pat

Catalog Details

Catalog Item ID: 40066
GUID: gov.noaa.nmfs.inport:40066
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 14:27+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-05-30 18:09+0000
Metadata Record Published: 2018-02-08
Owner Org: ONMS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-02-08
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-02-08