Guy R. Cochrane 2005 (Volume II, Version 1.0, 2005) vector digital data Open-File Report 2005-1170 Pacific Coastal and Marine Science Center, Santa Cruz, CA U.S. Geological Survey http://pubs.usgs.gov/of/2005/1170/habitat/nanphab.tgz http://pubs.usgs.gov/of/2005/1170/catalog.html https://doi.org/10.3133/ofr20051170 Guy R. Cochrane James E. Conrad Jane A. Reid Sarah Fangman Nadine Golden 2005 1.0 Open-File Report 2005-1170 Pacific Coastal and Marine Science Center, Santa Cruz, CA U.S. Geological Survey https://doi.org/10.3133/ofr20051170 Benthic habitat polygon coverages have been created for marine reserve locations surrounding the Santa Barbara Basin. Diver, ROV and submersible video transects, bathymetry data, sedimentary samples, and sonar mapping, have been integrated to describe the geological, biological, and oceanographic aspects of habitat. Anacapa Reserve, is part of the Marine Ecological Reserves Research Program (MERRP). The U.S. Geological Survey (USGS), in a cooperative project with Sea Grant-MERRP and investigators at National Marine Fisheries Service (NMFS), the Channel Islands National Marine Sanctuary (CINMS), and National Park Service (NPS) has collected sidescan sonar and video data to produce a polygon coverage. The habitat polygons have attributes for megahabitat, bottom induration, macrohabitat (where macrohabitat observations are available), polygon area, polygon perimeter, and water depth. The habitat GIS shows rocky habitat suitable for rockfish (Sebastes sp.), abalone (Haliotis sp.), and other threatened benthic species from the shoreline out to the 100-m depth limit of the survey. 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 geologic and oceanographic information. Additional information about the field activities from which this data set was derived are available online at http://walrus.wr.usgs.gov/nearshorehab/ 20000612 20000718 ground condition Complete As needed -119.528215 -119.447256 34.081139 34.019136 USGS Metadata Identifier USGS:2378ba37-e903-4978-98c2-ca4fe8a9e11c USGS Thesaurus scientific interpretation sea-floor characteristics habitats geology marine geology None U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP Pacific Coastal and Marine Science Center PCMSC Coastal Geology benthic habitat fisheries seafloor ISO 19115 Topic Category oceans biota geoscientificinformation None North Anacapa Passage Channel Islands Channel Islands National Marine Sanctuary Southern California Santa Cruz Islands Santa Barbara Ventura California CA North Pacific Ocean Northern Pacific Ocean United States west coast USA None USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originators of the dataset and in products derived from these data. U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov http://pubs.usgs.gov/of/2005/1170/images/nanphab.jpg JPEG image of habitat polygons JPEG Thanks to the Staff of the Channel Islands National Marine Sanctuary, the crew of the NOAA R/V Ballena, the crew of the NOAA R/V MacArthur, and the crew of the UCSD R/V Sproul. SunOS, 5.8, sun4u UNIX; ArcInfo version 8.0.2 Habitat polygons dervived in ArcGIS 9.0 from a georefereced sidescan sonar mosaic tiff. Habitat attribute types are from Greene, G.H., Yoklavich, M.M., Starr, R.M., O'Connell, V.M., Wakefield, W.W., Sullivan, D.E., McRea, J.E., and Cailliet, G.M., 1999. A classification scheme for deep seafloor habitats. Oceanologica Acta, 22, 663-678. Macrohabitat attributes assignments are limited to areas where bottom video has been collected. Polygon topology present. Every polygon has a label and are all polygons closed Macrohabitat classification is missing where video information is lacking Accuracy of the horizontal coordinates is on the order of 10 m based on uncertainty in position of sidescansonar fish relative to ships gps position. Cochrane, G.R., and K. D. Lafferty, 2002, Use of acoustic classification of sidescan sonar data for mapping benthic habitat in the Northern Channel Islands, California. Continental Shelf Research, 22:683-690. 2004 Nadine Golden started here. //Created grids and polygons from original image files. 1. Converted images to grids in ArcInfo: Note: divided hard layer into 2 layers: -first layer includes of all rock data -second rock layer included only the bright homogeneous areas. -merged these 2 layers for final hard grid nanp1hrd4g. 2. Converted grids to polygons for editing using ArcGIS Spatial Analysis Extension's Reclassify option. 3. Edited, cleaned, polygons -cleaned up all layers: wiped out the nadir and noise areas classified as hard, mixed or soft bottom. 4. Converted polygons back to grids using ArcGIS Spatial Analysis Extension option: Feature to Rasture. //Merged final grids to make one grid of all layers 1. Created a fourth grid of all data area and assigned gridcode to 128--half way between soft and mixed. 2. Merged all grids in Spatial Analyst tool Raster Calculator -set option to Extent-->union of inputs. -used the merge command in raster calculator dialogue box: nanp1mhab1g = merge([nanp1mhrd4g - nanp1mhrd4g],[nanp1mix9g - nanp1mix9g],[nanpsand2g - nanpsand2g],[nanapalldata2 - nanapalldata2]) //Filtered grid to decrease polygon total steps: 1. filtered original grid using the "low" filter default (two passes were required to create a grid that resolved to under 100,000 polygons): filter nanp1mhab13g nanp1mhab14g filter nanp1mhab14g nanp1mhab15g 2. reclassified new grid using spatial anlysis reclassification option and the following remap categories: 1-128 : 85 129-189 : 170. 190-255 : 255 3. converted new floating point grid to an integer grid. secru1mhab8g = int(secru1mhab7g). 4. Using ArcGIS, ArcToolbox Raster to Features, converted new floating integer grid to polygon shapefile new polygon shapefile: 85,257 polygons (note: original polygon shapefile: 171,781 polygons) 20050114 Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. 20201019 U.S. Geological Survey VeeAnn A. Cross Marine Geologist Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543-1598 508-548-8700 x2251 508-457-2310 vatnipp@usgs.gov Edited metadata to add USGS Thesaurus keywords and perform minor edits to bring the metadata up to current PCMSC standards. No data were changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata dates to determine which metadata file is most recent. 20211021 U.S. Geological Survey Susan Cochran Geologist Mailing and Physical

2885 Mission Street

Santa Cruz CA 95060 831-460-7545 scochran@usgs.gov Vector G-polygon 71652 Universal Transverse Mercator 10 0.999600 -123.000000 0.000000 500000.000000 0.000000 coordinate pair .000016 .000016 meters North American Datum of 1983 Geodetic ReferenceSystem 80 6378137 298.2572222 > >nanphab Fields: > >NAME ALIAS TYPE LENGTH PRECISION SCALE NUMBER_FORMAT >ID ID Double 10 10 0 Numeric >GRIDCODE GRIDCODE Double 10 10 0 Numeric >CODE CODE String 10 10 0 - >MEGA_ID MEGA_ID String 5 0 0 - >MSO_MRC_ID MSO_MRC_ID String 5 0 0 - >MDFR_ID MDFR_ID String 5 0 0 - >BOTTOM_ID BOTTOM_ID String 5 0 0 - >GEO_UNIT GEO_UNIT String 50 0 0 - >Area Area Double 19 18 11 Numeric Benthic habitat classification attributes: megahabitat, bottom induration, meso-macrohabitat, and modifiers from Green and others, 1999. CODE is a combination of the habitat attributes. MEGA_ID is usually S for Shelf, but may be F for basin or canyon flank. BOTTOM_ID is h for hard bottom, m for mixed hard and soft bottom, or s for soft sediment bottom MSO_MRC_ID are visual observations when sand waves (w) were observed. These macrohabitats described in Greene and others 1999. MDFR_ID are modifiers to describe the texture or lithology of the seafloor and appear in the code preceded by an underscore (_). Including; fractured (_f), differently eroded (_d), kelp (_k), and limestone (_l) Habitat attribute types are Modified after Greene, G.H., Yoklavich, M.M., Starr, R.M., O'Connell, V.M., Wakefield, W.W., Sullivan, D.E., McRea, J.E., and Cailliet, G.M., 1999. A classification scheme for deep seafloor habitats. Oceanologica Acta, 22, 663-678. Guy R. Cochrane U.S. Geological Survey Geophysicist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060-5792 USA (831) 427-4754 (831) 427-4748 gcochrane@usgs.gov Downloadable Data Although these data have been used by the U.S. Geological Survey (USGS), U.S. Department of the Interior (DOI), no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. shapefile 3.3 ESRI Shapefile Format The SHP file contains the geospatial data. The SHX file contains the index of the geospatial data. The DBF file contains the attribute data in dBase format. The PRJ file contains the coordinate system information (optional). The AVL file contains the legend information (optional). The SBN and SBX files contain the spatial index of the geospatial data (optional). The XML file contains the metadata describing the data set <data set name>.shp.xml. An ASCII version of the metadata file. A browse graphic showing the data layer coverage and extent (optional). zip archive 29.7 http://pubs.usgs.gov/of/2005/1170/habitat/nanphab.tgz http://pubs.usgs.gov/of/2005/1170/catalog.html https://doi.org/10.3133/ofr20051170 Data may be retrieved via any WWW browser. None These data are available in Environmental Systems Research Institute (ESRI) shapefile format. The user must have ArcGIS or ArcView 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of the importing data. A free data viewer, arcexplorer, capable of displaying the data is available from ESRI at www.esri.com. 20211021 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time