U.S. Geological Survey (USGS), Coastal and Marine Geology (CMG), Menlo Park, CA.
2010
amplitude_16
1
raster digital data
https://pubs.usgs.gov/ds/514/
USGS Western Coastal & Marine Geology scientists mapped the Monterey Bay area from Ano Nuevo to Moss landing between August and December 2009 using a SEA SWATHplus interferometric sonar system. Data were collected as part of the cooperative California Seafloor Mapping program, during field activities S-7-09-MB and S-10-09-MB. Backscatter was normalized for the survey area and gridded to 2m resolution. This is a preliminary GEOTIFF product produced by mosaicing 2m gridded backscatter data from each survey line into a single raster and interpolating using a rectangular 3x3 focalmean algorith in ArcGIS.
California State Waters Mapping
Information about August-September 2009 field activity data collection at <http://walrus.wr.usgs.gov/infobank/s/s709mb/html/s-7-09-mb.fmeta.faq.html>.
Information about October - December field activity data collection at <http://walrus.wr.usgs.gov/infobank/s/s1009mb/html/s-10-09-mb.fmeta.faq.html>.
20090813
20091222
ground condition
As needed
-122.338797
-121.785351
37.111583
36.793514
ISO 19115 Topic Category
geoscientificinformation
oceans
USGS CMG InfoBank
geoscientific information
backscatter
oceans
Marine Geology
Geographic Names Information System (GNIS)
Ano Nuevo
Moss Landing
Monterey Bay
California
Pacific Ocean
USGS CMG InfoBank
"Monterey Bay, CA"
CA
Monterey Bay
Moss Landing to Ano Nuevo
North Pacific Ocean
Northern California
Northern Pacific Ocean
USA
If physical samples or materials are available, constraints on their on-site access
are described in "WR CMG Sample Distribution Policy" at URL:
http://walrus.wr.usgs.gov/infobank/programs/html/main/sample-dist-policy.html
Not suitable for navigation
Read and fully comprehend the metadata prior to data use.
Acknowledge the U.S. Geological Survey (USGS), the Originator, when using the data set
as a source. Any use of trade, firm, or product names is for descriptive purposes only
and does not imply endorsement by the U.S. Government.
Share data products developed using the source data set with the Originator.
Data should not be used beyond the limits of the source scale. This information is
not intended for navigational purposes.
The data set is NOT a survey document and should not be utilized as such. Some USGS
information accessed through this means may be preliminary in nature and presented
without the approval of the Director of the USGS. This information is provided with
the understanding that it is not guaranteed to be correct or complete and conclusions
drawn from such information are the responsibility of the user.
USGS Western Coastal & Marine Geology
Guy Cochrane
Geophysicist
physical address
400 Natural Bridges Drive
Santa Cruz
CA
95062
USA
(831) 427-4754
(831) 427-4748
gcochrane@usgs.gov
http://walrus.wr.usgs.gov/infobank/s/s709mb/html/s-7-09-mb.index.png
Illustration of ship tracklines for data collection field activity S-7-09-MB.
PNG
http://walrus.wr.usgs.gov/infobank/s/s1009mb/html/s-10-09-mb.index.png
Illustration of ship tracklines for data collection field activity S-10-09-MB.
PNG
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3500
These are raw data with uninterpreted results. for updated on this dataset, search for cruise S-7-09-MB and S-10-09-MB on USGS Coastal & Marine Geology InfoBank, or email: dfinlayson@usgs.gov.
GPS Data Collection and Processing
Bathymetric surveys were conducted using a 234.5 kHz SEA (AP) Ltd. SWATHplus-M phase-differencing sidescan sonar. The sonar was pole-mounted on the 34-foot USGS mapping vessel R/V Parke Snavely. The R/V Snavely was equipped with a CodaOctopus F180 attitude and position system for the duration of the survey. The F180 is running F190 firmware, and receives real-time kinematic (RTK) corrections directly. The RTK GPS data (2 cm error ellipse) are combined with the inertial motion measurements directly within the F190 hardware so that high-precision position and attitude corrections are fed in real-time to the sonar acquisition equipment. The WGS84 (G1150) Epoch 2002.0 3-dimensional reference frame was used for all measurements.
GPS data and measurements of vessel motion are combined in the F180 hardware to produce a high-precision vessel attitude packet. This packet is transmitted to the Swath Processor acquisition software in real-time and combined with instantaneous sound velocity measurements at the transducer head before each ping. Up to 20 pings per second are transmitted with each ping consisting of 2048 samples per side (port and starboard).
Sound Velocity Measurements
Sound velocity profile (SVP) measurements were collected on average every two hours throughout the survey. A total of 440 SVPs were collected for this survey. 114 SVPs were collected during cruise S-7-09-MB and 326 SVPs were collected during S-10-09-MB. In general, SVPs were collected every 2 hours, or when the survey vessel moved to a different survey block. Typically two SVPs were collected every four lines. Water column sound velocity profiles varied significantly throughout the survey, however this frequency of SVP collection was sufficient to correct for variations in sound velocity. Only one line from cruise S-7-09-MB (BlockA_230_044) shows an artifact from an uncorrected sound velocity error (smile), for part of it's length. Insufficient sound velocity data were available to correct this line, and no attempt was made to synthesize data.
SVPs were collected with an Applied Micro Systems, SvPlus 3472. This instrument provides time-of-flight sound velocity measurements using invar rods with a sound velocity accuracy of +/- 0.06 m/s, pressure measured by a semiconductor bridge strain gauge to an accuracy to 0.15% (Full Scale) and temperature measured by thermistor to an accuracy of 0.05 C (Applied Microsystems Ltd., 2005). In addition, an Applied Micro Systems Micro SV accurate to +/- 0.03 m/s was deployed on the transducer frame for real-time sound velocity adjustments at the transducer-water interface.
The returned samples are projected to the lake bottom using a ray-tracing algorithm working with measured sound velocity profiles in SEA Swath Processor (version 3.05.18.04). A series of statistical filters are applied to the raw samples that isolate the lake bottom returns from other uninteresting targets in the water column. Finally, the processed x,y,z, amplitude data is stored line-by-line in both raw (.sxr) and processed (.sxp) trackline files. For this cruise, processed files were filtered across-track with a mean filter at 0.5m resolution.
Bathymetry Processing
Processed (.sxp) files were run through sxpegn (build 151) by David Finlayson (USGS) to remove erroneous data from the files and make valid gain-normalized amplitude data for CARIS HIPS and SIPS (version 7.0.1.0 Service Pack 1) Processed .sxp files were imported to CARIS, and field sheets were created within CARIS and defined to the nearest even integer meter in ground coordinates (WGS84(G1150) UTM Zone 10), to approximately match CA State Waters Quads 36 - 41. Because quads 38 & 39, and quads 40 & 41 had very little horizontal overlap, a horizontal overlap was added to the eastern quads in both cases; that is, the western bounds of quads 39 and 41 were extended to create overlap between field sheets.
Survey line width were filtered (trimmed) in CARIS to remove adjacent line data from nadir gaps. Target overlap between lines was 25 - 30%, though values ranged from ~10% to <50% depending on line spacing and data quality. CARIS Swath Angle BASE surfaces were then created for each map block at 2m resolution, and the subset editor was used to examine each field sheet and clean artifacts from biological targets and other unwanted soundings. Cleaned data were exported in Generic Sensor Format (GSF).
Amplitude Processing
Amplitude values are co-registered with bathymetry data. xy amplitude values were normalized by range using the entire cruise dataset by processing with sxpegn (build 151), nadir gaps were filled using sxpmagic (build 44) to interpolate amplitude values near-nadir to the nadir. Both pieces of software were developed by David P. Finlayson (USGS CMG, Santa Cruz, CA).
Normalized, nadir-filled amplitude data were gridded by line at 2m resolution using SEA Grid Processor (version 3.0.18.04) and exported as x,y, amplitude files. Files were imported as multipoint feature classes to a file geodatabase in ArcGIS 9.3.1 using the 3D Analyst ASCII 3D to Feature Class tool. Each line was then converted to a raster. For each survey block, Individual lines were mosaicked to a new raster using the ArcGIS BLEND algorithm. Blocks were then mosaicked together with the same algorithm to create a 2m raster for the entire project area. One interpolation pass was used to fill gaps in the dataset with a 3x3 focalmean function. The data were then exported as a 16-bit unsigned integer GeoTIFF, and a worldfile was generated from the GeoTIFF properties.
Accuracy should be on the order of 2 meters due to datum transformations and grid cell size.
U.S. Geological Survey, Coastal and Marine Geology Program
2009
USGS CMG S-7-09-MB Metadata
raster digital data
http://walrus.wr.usgs.gov/infobank/s/s709mb/html/s-7-09-mb.meta.html
online
20090813
20090903
ground condition
S-7-09-MB
Cruise S-7-09-MB contributed swath mapping data from Point Ano Nuevo to Table Rock, and a block near Soquel Canyon, in Monterey Bay National Marine Sanctuary. These data are primarily the western 1/3 of the survey area.
U.S. Geological Survey, Coastal and Marine Geology Program
2009
USGS CMG S-10-09-MB Metadata
raster digital data
http://walrus.wr.usgs.gov/infobank/s/s1009mb/html/s-10-09-mb.meta.html
online
20091012
20091126
ground condition
S-10-09-MB
Cruise S-10-09-MB contributed swath mapping data to this survey from Table rock to Moss Landing, in Monterey Bay National Marine Sanctuary. This comprised approximately the eastern 2/3 of the survey area.
Data Collection and Processing
Bathymetric surveys were conducted using a 234.5 kHz SEA (AP) Ltd. SWATHplus-M phase-differencing sidescan sonar. The sonar was pole-mounted on the 34-foot USGS mapping vessel R/V Parke Snavely. The R/V Snavely was equipped with a CodaOctopus F180 attitude and position system for the duration of the survey. The F180 is running F190 firmware, and receives real-time kinematic (RTK) corrections directly. The RTK GPS data (2 cm error ellipse) are combined with the inertial motion measurements directly within the F190 hardware so that high-precision position and attitude corrections are fed in real-time to the sonar acquisition equipment. The WGS84 (G1150) Epoch 2002.0 3-dimensional reference frame was used for all measurements.
GPS data and measurements of vessel motion are combined in the F180 hardware to produce a high-precision vessel attitude packet. This packet is transmitted to the Swath Processor acquisition software in real-time and combined with instantaneous sound velocity measurements at the transducer head before each ping. Up to 20 pings per second are transmitted with each ping consisting of 2048 samples per side (port and starboard).
Sound Velocity Measurements
Sound velocity profile (SVP) measurements were collected on average every two hours throughout the survey. A total of 440 SVPs were collected for this survey. 114 SVPs were collected during cruise S-7-09-MB and 326 SVPs were collected during S-10-09-MB. In general, SVPs were collected every 2 hours, or when the survey vessel moved to a different survey block. Typically two SVPs were collected every four lines. Water column sound velocity profiles varied significantly throughout the survey, however this frequency of SVP collection was sufficient to correct for variations in sound velocity. Only one line from cruise S-7-09-MB (BlockA_230_044) shows an artifact from an uncorrected sound velocity error (smile), for part of it's length. Insufficient sound velocity data were available to correct this line, and no attempt was made to synthesize data.
SVPs were collected with an Applied Micro Systems, SvPlus 3472. This instrument provides time-of-flight sound velocity measurements using invar rods with a sound velocity accuracy of +/- 0.06 m/s, pressure measured by a semiconductor bridge strain gauge to an accuracy to 0.15% (Full Scale) and temperature measured by thermistor to an accuracy of 0.05 C (Applied Microsystems Ltd., 2005). In addition, an Applied Micro Systems Micro SV accurate to +/- 0.03 m/s was deployed on the transducer frame for real-time sound velocity adjustments at the transducer-water interface.
The returned samples are projected to the lake bottom using a ray-tracing algorithm working with measured sound velocity profiles in SEA Swath Processor (version 3.05.18.04). A series of statistical filters are applied to the raw samples that isolate the lake bottom returns from other uninteresting targets in the water column. Finally, the processed x,y,z, amplitude data is stored line-by-line in both raw (.sxr) and processed (.sxp) trackline files. For this cruise, processed files were filtered across-track with a mean filter at 0.5m resolution.
Bathymetry Processing
Processed (.sxp) files were run through sxpegn (build 151) by David Finlayson (USGS) to remove erroneous data from the files and make valid gain-normalized amplitude data for CARIS HIPS and SIPS (version 7.0.1.0 Service Pack 1) Processed .sxp files were imported to CARIS, and field sheets were created within CARIS and defined to the nearest even integer meter in ground coordinates (WGS84(G1150) UTM Zone 10), to approximately match CA State Waters Quads 36 - 41. Because quads 38 & 39, and quads 40 & 41 had very little horizontal overlap, a horizontal overlap was added to the eastern quads in both cases; that is, the western bounds of quads 39 and 41 were extended to create overlap between field sheets.
Survey line width were filtered (trimmed) in CARIS to remove adjacent line data from nadir gaps. Target overlap between lines was 25 - 30%, though values ranged from ~10% to <50% depending on line spacing and data quality. CARIS Swath Angle BASE surfaces were then created for each map block at 2m resolution, and the subset editor was used to examine each field sheet and clean artifacts from biological targets and other unwanted soundings. Cleaned data were exported in Generic Sensor Format (GSF).
Amplitude Processing
Amplitude values are co-registered with bathymetry data. xy amplitude values were normalized by range using the entire cruise dataset by processing with sxpegn (build 151), nadir gaps were filled using sxpmagic (build 44) to interpolate amplitude values near-nadir to the nadir. Both pieces of software were developed by David P. Finlayson (USGS CMG, Santa Cruz, CA).
Normalized, nadir-filled amplitude data were gridded by line at 2m resolution using SEA Grid Processor (version 3.0.18.04) and exported as x,y, amplitude files. Files were imported as multipoint feature classes to a file geodatabase in ArcGIS 9.3.1 using the 3D Analyst ASCII 3D to Feature Class tool. Each line was then converted to a raster. For each survey block, Individual lines were mosaicked to a new raster using the ArcGIS BLEND algorithm. Blocks were then mosaicked together with the same algorithm to create a 2m raster for the entire project area. One interpolation pass was used to fill gaps in the dataset with a 3x3 focalmean function. The data were then exported as a 16-bit unsigned integer GeoTIFF, and a worldfile was generated from the GeoTIFF header information with an AML script.
2009
U.S. Geological Survey, Coastal and Marine Geology Program
Andy Ritchie
mailing and physical
400 Natural Bridges Drive
Santa Cruz
CA
95060-5792-5792
US
831-427-4791
831-427-4748
aritchie@usgs.gov
Raster
Grid Cell
17404
24469
1
Universal Transverse Mercator
10
0.999600
-123.000000
0.000000
500000.000000
0.000000
row and column
2.000000
2.000000
meters
D_WGS_1984
WGS_1984
6378137.000000
298.257224
amplitude_16.vat
Ascii Grid
Gain-normalized backscatter.
Higher values are higher amplitude backscatter.
The files in this archive are 2 meter grids in ESRI ASCII GRID format.
Each ASCII Grid was split in two parts to reduce the file size below the 2 gb
limit for 32-bit .zip archives. These grids can be reassembled seamlessly in ARC with the mosaic function.
WGS 84 grids are in WGS84(G1150)/ITRF00 epoch 2002.0. ArcGIS cannot accurately represent this reference frame.
For most applications it will be sufficient to use the WGS84 and NAD83 UTM Zone 10 projections.
ESRI ASCII GRID format:
(Copied from the ArcGIS Desktop 9.3 Help File)
The ASCII file must consist of header information containing a set of keywords, followed by cell values in row-major order.
The file format is:
>
> <NCOLS xxx>
> <NROWS xxx>
> <XLLCENTER xxx | XLLCORNER xxx>
> <YLLCENTER xxx | YLLCORNER xxx>
> <CELLSIZE xxx>
> {NODATA_VALUE xxx}
> row 1
> row 2
> .
> .
> .
> row n
>
where xxx is a number, and the keyword nodata_value is optional and defaults to -9999. Row 1 of the data is at the top of the grid, row 2 is just under row 1 and so on.
For example:
>
> ncols 480
> nrows 450
> xllcorner 378923
> yllcorner 4072345
> cellsize 30
> nodata_value -32768
> 43 2 45 7 3 56 2 5 23 65 34 6 32 54 57 34 2 2 54 6
> 35 45 65 34 2 6 78 4 2 6 89 3 2 7 45 23 5 8 4 1 62 ...
>
The nodata_value is the value in the ASCII file to be assigned to those cells whose true value is unknown. In the grid they will be assigned the keyword NODATA.
Cell values should be delimited by spaces. No carriage returns are necessary at the end of each row in the grid. The number of columns in the header is used to determine when a new row begins.
The number of cell values must be equal to the number of rows times the number of columns, or an error will be returned.
USGS
Rowid
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
VALUE
amplitude values
USGS
Sonar amplitude data values
COUNT
For the description of this attribute,
contact Andy Ritchie, email: aritchie@usgs.gov.
USGS
sum of data points
Ampl_Interp.tif.vat
This is the .TIFF file's internally stored value table name.
USGS
ObjectID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Value
These data are processed amplitude values from swath sonar returns, normalized by distance and beam angle for the entire cruise dataset. Higher amplitude returns are represented by higher values. values are 16-bit unsigned integer.
USGS
Sonar amplitude data values
Count
For the description of this attribute,
contact Andy Ritchie, email: aritchie@usgs.gov.
USGS
sum of data points
U.S. Geological Survey, Coastal and Marine Geology Program
Andy Ritchie
mailing and physical address
400 Natural Bridges Drive
Santa Cruz
CA
95060-5792
US
831-427-4791
831-427-4748
aritchie@usgs.gov
Downloadable Data
This information is not intended for navigational purposes.
Any use of trade, firm, or product 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.
Please recognize the U.S. Geological Survey (USGS) as the source of this information.
Physical materials are under controlled on-site access.
Some USGS information accessed through this means may be preliminary in nature and
presented without the approval of the Director of the USGS. This information is
provided with the understanding that it is not guaranteed to be correct or complete
and conclusions drawn from such information are the responsibility of the user.
TIFF
252.804
https://pubs.usgs.gov/ds/514/
none
20100504
U.S. Geological Survey, Coastal and Marine Geology Program
Andy Ritchie
mailing and physical address
400 Natural Bridges Drive
Santa Cruz
CA
95060-5792
US
831-427-4791
831-427-4748
aritchie@usgs.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile