Coverage sanahab -- Habitat polygons for South Anacapa Island

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Frequently-anticipated questions:


What does this data set describe?

Title: Coverage sanahab -- Habitat polygons for South Anacapa Island
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/>

Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in ArcInfo format, this metadata file may include some ArcInfo-specific terminology.

  1. How should this data set be cited?

    Cochrane, Guy R. , 2005, Coverage sanahab -- Habitat polygons for South Anacapa Island:.

    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 USGS OFR 2005-1170, U.S. Geological Survey, Coastal and Marine Geology Program, Western Coastal and Marine Geology, 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.html> (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: map

  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?

      The map projection used is NAD_1983_UTM_Zone_10N.

      Projection parameters:
      Straight-Vertical_Longitude_from_Pole: -123
      Standard_Parallel: 0.999600
      False_Easting: 500000.000
      False_Northing: 0.000

      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)

  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?

    Guy R. Cochrane
    United States Geological Survey (USGS)
    Geophysicist
    USGS, 400 Natural Bridges Drive
    Santa Cruz, CA 95060-5792
    USA

    (831) 427-4754 (voice)
    (831) 427-4748 (FAX)
    gcochrane@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 1)
    --------clip the image mosaic---------------------------- starting with 1m res 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

  3. What similar or related data should the user be aware of?

    United States Geological Survey, Coastal and Marine Geology (CMG), 20020916, USGS CMG South Anacapa Island Habitat Metadata.

    Online Links:

    This is part of the following larger work.

    United States Geological Survey, Coastal and Marine Geology (CMG), 2005, USGS CMG InfoBank.

    Online Links:


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: Not suitable for navigation

  1. Who distributes the data set? (Distributor 1 of 1)

    United States Geological Survey (USGS)
    c/o Guy R. Cochrane
    Geophysicist
    USGS, 400 Natural Bridges Drive
    Santa Cruz, CA 95060-5792
    USA

    (831) 427-4754 (voice)
    (831) 427-4748 (FAX)
    gcochrane@usgs.go

  2. What's the catalog number I need to order this data set?

  3. What legal disclaimers am I supposed to read?

    Please recognize the U.S. Geological Survey (USGS) as the source of this information.

    Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, 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 U.S. Geological Survey in the use of this data, software, or related materials.

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 2005
Last Reviewed: 2005
Metadata author:
United States Geological Survey (USGS)
c/o Guy R. Cochrane
Geophysicist
USGS, 400 Natural Bridges Drive
Santa Cruz, CA 95060-5792
USA

(831) 427-4754 (voice)
(831) 427-4748 (FAX)
gcochrane@usgs.gov

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata ("CSDGM version 2") (FGDC-STD-001-1998)


Generated by mp version 2.8.6 on Fri Dec 16 16:22:14 2005