Nadine E. Golden
Guy R. Cochrane
2010
chaneast_back.txt - Bathymetric sidescan sonar backscatter image for Channel East in the Nearshore Benthic Habitat Mapping Project S. California map series.
Version 2.0, 2010
map
Open-File Report
2007-1271
Santa Cruz, CA
U.S. Geological Survey
https://pubs.usgs.gov/of/2007/1271/
Guy R. Cochrane
Nadine Golden
Pete Dartnell
Donna Schroeder
Jamie Conrad
Andy Stevenson
2007
Seafloor Mapping and Benthic Habitat GIS for Southern California, Volume III
map
Bathymetric sidescan sonar data of the nearshore seafloor (0 to 100 m water depths) of the Santa Barbara Channel area collected in 2005. A 234 kHz Interferometric Submetix Swath Bathy Sonar System; SEA Swath Processor, v. 2.05, SEA Grid Processor v. 2.05, was used for geophysical surveying. The 2005 survey was navigated with a CodaOctopus, Model F180, Differential Global Positioning System (DGPS). A KVH Industries Inc. azimuth digital gyro-compass provided ship headings with 0.5 degree accuracy. Navigation data were recorded using Yo-Nav version 1.19 (Gann, 1992). This is one of a collection of digital files of a geographic information system of spatially referenced data related to the USGS Coastal and Marine Geology Program Nearshore Benthic Habitat Mapping Project. See <http://walrus.wr.usgs.gov/nearshorehab> for more information.
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.
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.
20050808
20050827
ground condition
As needed
-119.643628
-119.471725
34.390598
34.320467
None
bathymetry
sidescan sonar
remote-sensing
MIPS
U.S. Geological Survey
USGS
Coastal and Marine Geology Program
CMGP
ISO 19115 Topic Category
geoscientificinformation
imagereyBaseMapsEarthCover
oceans
elevation
None
Channel Islands National Marine Sanctuary
Geographic Names Information System (GNIS)
Santa Barbara
Ventura
Santa Barbara Channel
Channel Islands
California
None
Public domain data from the U.S. government is freely redistributable
with proper metadata and source attribution.
Please recognize the U.S. Geological Survey (USGS)
as the source of this information.
Guy R. Cochrane
U.S. Geological Survey, Coastal and Marine Geology
Geophysicist
mailing and physical address
USGS Pacific Science Center, 400 Natural Bridges Drive
Santa Cruz
CA
95060-5792
USA
(831) 427-4754
(831) 427-4748
gcochrane@usgs.gov
images/chaneast_back.jpg
Image showing coverage of
Channel East backscatter data ArcInfo format.
JPEG
SunOS, 5.7, sun4u UNIX
Windows XP Professional, v. 2002, service pack 2
SEA Grid Processor v. 2.051
ArcGIS version 9.1
U.S. Geological Survey, Coastal and Marine Geology Program
2007
InfoBank
http://walrus.wr.usgs.gov/infobank/s/s105sc/html/s-1-05-sc.meta.html
Guy Cochrane, U.S. Geological Survey, Coastal and Marine Geology Program
200510
Sonar Survey of Sea-Floor Habitats
Southeast of Santa Barbara, California
in Sound Waves Monthly Newsletter,
Coastal Science & Research News from Across the USGS
http://soundwaves.usgs.gov/2005/10/fieldwork2.html
Logical Consistency untested.
Please see the Methods section of https://pubs.usgs.gov/of/2007/1271/ for
information about omissions, selection criteria, generalization,
definitions used, and other rules used to derive the data set.
On the order of 10 meters.
>Started with SXP files that were the output
> from A 234 kHz
> Interferometric Submetix Swath Bathy Sonar System.
>Based on the Julian date at original data collection,
> individually imported each raw backscatter file
> into "SEA Swath Processor Real-Time Software System".
>Configured the way the data was processed
> in "SEA Swath Processor"
> by inputting adjustment and offset information, such as
> ship's motion, tides, velocity of sound, and
> relative sensor positions.
20060702
>Used the "SonarWiz.MAP Sonar File Manager" tool:
> check and correct the navigation data.
>Manually "bottom-tracked" each line.
>Applied signal processing functions by setting the
> Automatic Gain Control (AGC),
> Beam Angle Correction (BAC),
> project sonar data using sensor headings.
>Individually exported the line as a GeoTif file.
200060705
>Looped through the directory of GeoTif files and
> convert GeoTif to ArcGIS raster format.
>Removed "NoData" raster cells
> using the ArcGIS Con statement; and
> projected the data to WGS 1984 UTM Zone 11.
>
> **** Ascii to ArcRaster & Project Pyramids (Python Script)****
> # ---------------------------------------------------------------------------
> # ascii_to_arcraster_project_pyramids_stand_alone.py
> # Created on: Tuesday Oct 04 2006
> # Nadine Golden
> # ---------------------------------------------------------------------------
>
> # Import system modules
> import glob, sys, string, os, win32com.client
>
> # Create the Geoprocessor object
> gp = win32com.client.Dispatch("esriGeoprocessing.GpDispatch.1")
>
> # Load required toolboxes...
> gp.AddToolbox("E:/ArcGIS/ArcToolbox/Toolboxes/Data Management Tools.tbx")
> gp.AddToolbox("E:/ArcGIS/ArcToolbox/Toolboxes/Conversion Tools.tbx")
>
> files = glob.glob("F:/test/grids/*asc")
> for file in files:
> (basename, ext) = os.path.splitext(file)
> ingrid = file
> outgrid = basename + "tmp"
> os.system("scii_to_arcraster_project_pyramids_stand_alone.py %s %s" % (ingrid, outgrid))
>
> # Process: ASCII to Raster...
> gp.ASCIIToRaster_conversion(ingrid, outgrid, "INTEGER")
>
> ## # Process: Define Projection...
> ## gp.DefineProjection_management(outgrid, "PROJCS['NAD_1983_UTM_Zone_11N',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',
> SPHEROID['GRS_1980',6378137.0,298.257222101]],
> PRIMEM['Greenwich',0.0],
> UNIT['Degree',0.0174532925199433]],
> PROJECTION['Transverse_Mercator'],
> PARAMETER['False_Easting',500000.0],
> PARAMETER['False_Northing',0.0],
> PARAMETER['Central_Meridian',-117.0],
> PARAMETER['Scale_Factor',0.9996],
> PARAMETER['Latitude_Of_Origin',0.0],
> UNIT['Meter',1.0]]")
>
> # Process: Project Raster...
> finalgrid = basename
> gp.ProjectRaster_management(outgrid, finalgrid, "PROJCS['WGS_1984_UTM_Zone_11N',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',
> SPHEROID['WGS_1984',6378137.0,298.257223563]],
> PRIMEM['Greenwich',0.0],
> UNIT['Degree',0.0174532925199433]],
> PROJECTION['Transverse_Mercator'],
> PARAMETER['False_Easting',500000.0],
> PARAMETER['False_Northing',0.0],
> PARAMETER['Central_Meridian',-117.0],
> PARAMETER['Scale_Factor',0.9996],
> PARAMETER['Latitude_Of_Origin',0.0],
> UNIT['Meter',1.0]];
> -10000 -10000 100000;0 100000;0 100000", "NEAREST", "1")
>
> # Process: Build Pyramids...
> gp.BuildPyramids_management(finalgrid)
>
> # Clean up the mess
> gp.Delete(outgrid)
200060705
>Looped through the directory arcgrids and
> normalized the backscatter values
> using the Python script "RasterStats.py".
>
> **** Rasters Statistics for Normalizing Data (Python Script)****
> # ---------------------------------------------------------------------------
> # RasterStats.py
> # To Calculate the mean value of a raster
> # Created on: Thursday Oct 20, 2006
> # Nadine Golden
> # ---------------------------------------------------------------------------
>
> # Import system modules
> import sys, string, os, win32com.client
>
> # Create the Geoprocessor object
> gp = win32com.client.Dispatch("esriGeoprocessing.GpDispatch.1")
>
> # Check out any necessary licenses
> gp.CheckOutExtension("spatial")
>
> # Load required toolboxes...
> gp.AddToolbox("E:/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx")
> gp.AddToolbox("E:/ArcGIS/RasterStatsTool/RasterStatistics.tbx")
>
> #Directory of grids
> gp.Workspace = "F:\\test"
> rasterlist = gp.ListRasters()
> name = rasterlist.Next()
> while name:
> print name
>
> # Process: RasterBand Statistics...
> mean = gp.RasterBandStatistics(name, "MEAN")
>
> print mean
>
> # Process: Minus...
> (indir,basename) = os.path.split(name)
> outgrid = os.path.join("F:\\test\\Normalized", basename)
> gp.Minus_sa(name, mean, outgrid)
>
> print outgrid
>
> name = rasterlist.Next()
200060715
>In ArcGIS,
> imported lines according to track line number and
> mosaiced adjacent backscatter lines.
>Mosaicing was done by manually drawing a mask
> around the best possible data for each line and
> it's overlapping lines.
>Best possible data was determined subjectively and
> included the least no data values as possible
> in the overlapping areas.
20060722
Projected chaneast_back file available at https://pubs.usgs.gov/of/2007/1271/ from UTM, zone 10N, WGS84 coordinates to UTM, zone 11N, WGS84 coordinates.
2010
Raster
Pixel
7308
7325
WGS_1984_UTM_Zone_11N
-117
0.999600
500000.000
0.000
coordinate pair
U.S. Geological Survey, Coastal and Marine Geology
Guy R. Cochrane
Geophysicist
mailing and physical address
USGS Pacific Science Center, 400 Natural Bridges Drive
Santa Cruz
CA
95060-5792
USA
(831) 427-4754
(831) 427-4748
gcochrane@usgs.gov
Although this data set has been used by the USGS,
no warranty, expressed or implied, is made by the USGS
as to the accuracy of the data and/or related materials.
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.
2010
U.S. Geological Survey, Coastal and Marine Geology
Peter Dartnell
Physical Scientist
mailing and physical address
USGS 345 Middlefield Rd
Menlo Park
CA
94025
USA
(650)329-5460
pdartnell@usgs.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998