SANAHAB -- Benthic Habitat polygons for South Anacapa Island (UTM 10N, NAD83)

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Frequently anticipated questions:


What does this data set describe?

Title:
SANAHAB -- Benthic Habitat polygons for South Anacapa Island (UTM 10N, NAD83)
Abstract:
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.
Supplemental_Information:
Additional information about the field activities from which this data set was derived are available online at http://walrus.wr.usgs.gov/nearshorehab/
  1. How might this data set be cited?
    Cochrane, Guy R., 2005, SANAHAB -- Benthic Habitat polygons for South Anacapa Island (UTM 10N, NAD83): Open-File Report 2005-1170, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    This is part of the following larger work.

    Cochrane, Guy R., Conrad, James E., Reid, Jane A., Fangman, Sarah, and Golden, Nadine, 2005, Nearshore Benthic Habitat GIS for the Channel Islands National Marine Sanctuary and Southern California State Fisheries Reserves, Volume II Edition: 1.0: Open-File Report 2005-1170, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -119.456723
    East_Bounding_Coordinate: -119.331627
    North_Bounding_Coordinate: 34.027738
    South_Bounding_Coordinate: 33.981107
  3. What does it look like?
    http://pubs.usgs.gov/of/2005/1170/images/sanahab.jpg (JPEG)
    JPEG image of habitat polygons
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 01-Mar-1999
    Ending_Date: 18-Jul-2000
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • G-polygon (67875)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 10
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -123.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest .000016
      Ordinates (y-coordinates) are specified to the nearest .000016
      Planar coordinates are specified in meters
      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic ReferenceSystem 80.
      The semi-major axis of the ellipsoid used is 6378137.
      The flattening of the ellipsoid used is 1/298.2572222.
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    
    sanahab 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)
    Entity_and_Attribute_Detail_Citation:
    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.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Guy R. Cochrane
  2. Who also contributed to the data set?
    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.
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA
    US

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

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.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 15-Dec-2004 (process 1 of 3)
    --------clip the image mosaic----------------------------
    
    starting with 1m resolution mosaic sonar image sana1m.img (see proceesing history for development of mosaic) on rouse convert to sana1m.tif with export ftp to desktop imagegrid sana1m.tif sana1mg use arcedit to find xy extent of valid pixels gridclip sana1mg sana1mgc x1 y1 x2 y2 del sana1m.tif sana1m.tfw gridimage sana1mgc none sana1m.tif tiff none on rouse rm sana1m.tif sana1m.img sana1m.lbl import sana1m.tif sana1m.img
    ---------classification of rock areas----------------
    
    csh rockjob1 for eastern area csh rockjob2 to classify rock in western anacapa passage area mask and mosaic together to produce sana1mrck_msk.img stretch 0;0 1;255 20;255 21;0 254;0 255;255 to produce sana1mrck4.img ftp to desktop for photoshop editing open in photoshop and duplicate layer on sana1m.raw as background photoshop painting out noise with black
    ----------classification of mixed areas-------------
    
    on rouse: csh mixedjob sana1mmix.img rename sana1mmix.raw ftp to desktop open in photoshop and duplicate layer on sana1m.raw as background, then save as sana1mmix1.psd photoshop painting out noise with black save as sana1mmix1.raw ftp to rouse convert to tiff sana1mmix1.tif with export ftp to desktop imagegrid sana1mmix1g gridpoly sana1mmix1p arcedit sana1mmix1p sel area < 10 and grid-code = 0 calc grid-code = 255 polygrid sana1mmix1p sana1mmix2g grid-code gridpoly sana1mmix2g sana1mmix2p
    ------------------------------------
    
    Nadine Golden starts editing the data at this point arcedit to remove zero polygons that are shadow save sana1mmix3p polygrid sana1mmix3p sana1mmix4g gridpoly sana1mmix4g sana1mmix4p arcedit to remove 0 gridcode polygons in mixed areas at east and west edge of the mosaic save sana1mmix4p polygrid sana1mmix4p sana1mmix5g ae sel grid-code = 255 calc grid-code = 170 polygrid sana1mmix3p sana1mmix4 grid-code
    ------------------------------------
    
    for soft bottom stretch sana1m sana1mmud 0;0 1;85 255;85 export sana1mmud.tif imagegrid sana1mmud.tif sana1mmud
    ---------------------------------------------------
    
    //converted tiff to grid in arcinfo using imagegrid command imagegrid sana1mmud sana1mmud1g imagegrid sana1mrck12 sana1mrck12g //cleaned out Photoshop values by converting grid to polygon and edited polygon in arcinfo. gridpoly sana1mrck12g sana1mrck12p ae ec sana1mrck12p sel grid-code = 255 or grid-code = o nselect calc grid-code = 0 polygrid sana1mrck12p sana1mrck13g grid-code //merged grids in arcinfo copy sana1mmud1g sana1hab1g grid gridedit edit sana1hab1g gridedit gridmerge zero sana1mmix5g sana1mrck13g //Steps for creating anacapa island grid 1. created polygon feature class of anacapa island in ArcMap by tracing the island off the coast shape file using the edit mode trace tool. anacapa_island.shp 2. Converted polygon feature class to polygon coverage using ArcMap Spatial Analyst-->convert polygon feature to polygon coverage. anacapa_island.shp-->anacapap1 3. cleaned coverage using ArcInfo build anacapaP1 clean anacapaP1 4. converted polygon coverage to grid using ArcInfo poly grid anacapap1 anacapag1 grid-code //Steps to creating near shore rock grid (using ArcMap and ArcTool Box) 1. created polygon feature class of rock in ArcMap by loosely tracing the outer (closest to land) rock area and closing the polygon with a line. rock.shp 2. created grid using arctoolbox feature class to grid toolrock.shp rockg1 3. using spatial analyst tool reclassify, converted values of rockg1 from 0 to 255 and named new file: rock2g //Calculate final grid with cleaned near shore data (from mud to rock) and no data where there is land 1. Set up ArcMap project with all grids: sana1mhab2g, anacapag1, rock2g 2. Spatial Analyst tool -set option to Extent-->union of inputs. -in raster calculator dialogue box merge grids of rck and hab: sana1mhab3g = merge([rock2g],[san1mhab2g]) //Calculate no data where there is land 1. Create shapefile mask -create new polygon feature class in ArcCatlog -add new polygon to project -using ArcMap Editor make new polygon a rectangle around all data (around sana1mhab3g) -in arctoolbox-->analysis tool-->-->erase erase anacapa polygon from new rectangle polygon new shapefile_erase has hole of island data -in spatial analyst-->options-->set mask-->use drop down to select newerase shapefile 2. Recalculate sana1hab3g with new mask poly by using the spatial analyst's raster calculator [sana1mhab4g] = [sana1mhab3g] --> select evaluate resulting grid has a hole (no data) where land was //set all 0 data to no data 1. in spatial analyst raster calculator divide grid by itself sana1mhab4g]/[sana1mhab4g] where 0/0 will equal no data all other data will be equal to 1 calculation leaves you with value 1 where there was data 2. in spatial analyst raster calculator multiply new calculation by original grid: sana1mhab5g = [sana1mhab4g] * [Calculation] so all values * 1 gives you original data //Breakup large mud polygon 1. Used Raster Cleanup tool to paint breaklines in polygon 2. converted to polygione shapefile. Note: this step took several attempts in order to maintain integrity of data and the final shapefile in this step was sana1mhab21s. 3. edited polygon shapefile sana1mhab21s to asign new gridcodes to polygons in the west and north west region of data. 2. converted shapefile back to raster with Toolbox. final grid is sana1mhab21g. //Filter grid to decrease polygon total steps: 1. filtered original grid using the "low" filter default filter sana1mhab21g sana1mhab23g (note: made and error on grid sana1mhab22g so advanced one to 23g) 2. reclassified new grid using the categories you sent me in attached remap.txt file. used spatial anlysis reclassification option 3. converted new floating point grid to an integer grid. sana1mhab24g = int(sana1mhab23g) 4. Using Toolbox Raster to Features: converted new floating integer grid to polygon shapefile new polygon shapefile: 169,051 polygons original polygon shapefile: 386,777 polygons
    Date: 19-Oct-2020 (process 2 of 3)
    Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
    Date: 21-Oct-2021 (process 3 of 3)
    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. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Susan Cochran
    Geologist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7545 (voice)
    scochran@usgs.gov
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    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.
  2. How accurate are the geographic locations?
    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.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    Macrohabitat classification is missing where video information is lacking
  5. How consistent are the relationships among the observations, including topology?
    Polygon topology present. Every polygon has a label and are all polygons closed

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
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.
  1. Who distributes the data set? (Distributor 1 of 1)
    Guy R. Cochrane
    U.S. Geological Survey
    Geophysicist
    2885 Mission Street
    Santa Cruz, CA
    USA

    (831) 427-4754 (voice)
    (831) 427-4748 (FAX)
    gcochrane@usgs.gov
  2. What's the catalog number I need to order this data set? Downloadable Data
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?
    • Availability in digital form:
      Data 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). in format shapefile (version 3.3) ESRI Shapefile Format Size: 35.2
      Network links: http://pubs.usgs.gov/of/2005/1170/habitat/sanahab.tgz
      http://pubs.usgs.gov/of/2005/1170/catalog.html
      https://doi.org/10.3133/ofr20051170
    • Cost to order the data: None

  5. What hardware or software do I need in order to use the data set?
    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.

Who wrote the metadata?

Dates:
Last modified: 21-Oct-2021
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA
US

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/SeriesReports/OFR/OFR_2005-1170/sanahab.shp.faq.html>
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