gov.noaa.nmfs.inport:40067
eng
UTF8
dataset
Office of National Marine Sanctuaries
resourceProvider
OCNMS GIS Coordinator
115 East Railroad Ave Suite 301
Port Angeles
WA
98362
olympiccoast@noaa.gov
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
complex
20309
curve
27543
hab118_0503c -- Habitat polygons for HMPR-118-2005-03c survey in Olympic Coast national marine sanctuary.
hab118_0503c
2007-05
publication
NOAA/NMFS/EDM
40067
https://www.fisheries.noaa.gov/inport/item/40067
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
http://olympiccoast.noaa.gov/science/habitatmapping/habitatmapping.html
WWW:LINK-1.0-http--link
Citation URL
Online Resource
download
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 the geological, biological, and oceanographic aspects of habitat. OCNMS has collected side scan sonar and video data to produce polygon coverages. The habitat polygons have attributes 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 data can be used with geographic information systems (GIS) software to display benthic information.
Steven S. IntelmannGuy Cochrane
underDevelopment
OCNMS GIS Coordinator
115 East Railroad Ave Suite 301
Port Angeles
WA
98362
olympiccoast@noaa.gov
pointOfContact
OCNMS GIS Coordinator
115 East Railroad Ave Suite 301
Port Angeles
WA
98362
olympiccoast@noaa.gov
custodian
asNeeded
Environmental Monitoring
theme
NOS Data Explorer Topic Category
fisheries
geology
habitat
lithology
seafloor
theme
Juan de Fuca
Olympic Coast
Washington
place
DOC/NOAA/NOS/NMS > National Marine Sanctuaries, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2017-04-24
publication
8.5
ocnms_benthic
project
InPort
otherRestrictions
Cite As: Office of National Marine Sanctuaries, [Date of Access]: hab118_0503c -- Habitat polygons for HMPR-118-2005-03c survey in Olympic Coast national marine sanctuary. [Data Date Range], https://www.fisheries.noaa.gov/inport/item/40067.
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.
otherRestrictions
Access Constraints: None.
otherRestrictions
Use Constraints: Not suitable for navigation.
otherRestrictions
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, including the warranties of merchantability and fitness for a particular purpose, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product or process disclosed, or represents that its use would not infringe privately owned rights. Original data elements may have been compiled from various sources. Spatial information may not meet National Mapping Accuracy Standards. This information may be updated, corrected, or otherwise modified without notification. For additional information about this data contact the Olympic Coast national marine sanctuary.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
40067
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/onms/dmp/pdf/40067.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
eng; US
oceans
Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 4; ESRI ArcCatalog 9.2.0.1324
-125.280389
-125.073114
48.054218
48.233597
| Currentness: Ground Condition
2005-06-19
Additional information about the field activities from which this data set was derived are available online at:http://www.olympiccoast.noaa.gov/research/mapping/welcome.html
false
eng
false
hab118_0503c.pat
2017-04-11
publication
Unknown
OCNMS GIS Coordinator
115 East Railroad Ave Suite 301
Port Angeles
WA
98362
olympiccoast@noaa.gov
distributor
15.773
http://olympiccoast.noaa.gov/science/habitatmapping/habitatmapping.htmldatacatalog.html
WWW:LINK-1.0-http--link
http://olympiccoast.noaa.gov/science/habitatmapping/habitatmapping.htmldatacatalog.html
Downloadable Data
download
dataset
Horizontal Positional Accuracy
Accuracy of the horizontal coordinates is on the order of 10-30m based on the uncertainty in position of side scan sonar towfish relative to ships position. Horizontal layback is more accurate than lateral offsets, since any lateral offset in the towfish position (due to side currents) is unaccounted for in the layback calculations.
Completeness Report
Complexity and slope not calculated since no multibeam data existed in this area at time of publication.
Conceptual Consistency
Polygon topology present. Each polygon has a label and all polygons are closed.
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 benthic habitat 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 Imagine software and stacked into a single multispectral file. Training signatures were digitized into three classes representing hard, mixed, and soft sediment. Supervised classification was then performed 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 Majority Filter 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 to polygon features in ArcInfo. Sediment grab data and video information were used as a validation tool. Where video data existed, polygons were manually split to attach macrohabitat attributes.
2005-01-01T00:00:00