David Finlayson
20050124
Depth Contours (feet) Derived from Finlayson: 0, every 10ft to -200, then every 100ft to -900
1.0
vector digital data
withheld
AQR.DERIVED_FINLAYSON_CONTOURS_10
Depth contours in feet derived (by AQR GIS Unit) from the Finlayson 2005 DEM. This layer includes: 0, every 10ft to -200, then every 100ft to -900. Vertical datum: NAVD88. This dataset represents a composite of the best-available bathymetry and topography for Puget Sound, Hood Canal, Lake Washington and the surrounding lowlands as of January 2005.
This is a general purpose digital elevation model (DEM) designed to address the needs of researchers and managers who need to consider the terrestrial and marine topography as a seamless unit. Example applications are hydrologic modeling, tidal and tsunami inundation mapping, inter-tidal mapping, etc.
Although a large percentage of the data is derived from state-of-the-art mapping systems collected as recently as 2004 (including laser altimetry and swath bathymetry) it was sometimes necessary to rely on very old datasets such as lead-line from the 1930's to complete the model. Care was taken to ensure that each dataset was properly projected, resampled and adjusted into a common vertical and horizontal datum (NAVD88 and NAD83 respectively). Obvious artifacts in the data were removed where this was easily done, and an effort was made to smooth the transition between datasets to minimize the number of spurious artifacts along data set margins.
en
1931
2004
ground condition
As needed
-124.002180
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48.460718
47.018126
789868.674805
1239851.910156
632789.566406
1144891.297363
None
Elevation
Topography
Bathymetry
DEM
None
Puget Lowlands
Puget Sound
Hood Canal
Admiralty Inlet
Saratoga Passage
Port Susan
Skagit
Snohomish
King
Pierce
Thurston
Jefferson
Mason
Kitsap
Island
Washington
This work is licensed under the Creative Commons Attribution License. To view a copy of this license, visit http://creativecommons.org/licenses/by/2.0/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.
NOT TO BE USED FOR NAVIGATION
David Finlayson
School of Oceanography, University of Washington
Ph.D. Candidate
mailing address
Marine Geology & Geophysics
School of Oceanography
Box 357940
University of Washington
Seattle
WA
98195-7940
USA
(206) 616-9407
dfinlays@u.washington.edu
david.p.finlayson@gmail.com
withheld
JPEG
Funding for this project was provided by Washington SeaGrant and the U.S. Army Corps of Engineers. A Special thank you to Ralph Haugerud, Harvey Greenberg and Elizabeth Cassel without whose assistance this DEM could not have been completed. Most importantly, this project relies on Public Domain elevation data provided by the Puget Sound Lidar Consortium (PSLC), the U.S. Geological Survey (USGS), the National Ocean Service (NOS), the University of Washington (UW), and the Lower Duwamish Working Group (LDWG). Please support public access to publicly funded data so that projects like this can be made possible.
ESRI ArcCatalog 9.3.1.3500
Feature Class
See Vertical Accuracy Report
The elevations in this DEM are a composite of 8 major sources (in many cases these are themselves composits of individual surveys). As a result, the lineage of each cell elevation is different and often not known. It should be assumed that the processing history is inconsistent throughout the DEM and that the vertical elevation errors are drawn from different populations.
This DEM has been visually inspected for completeness.
Voids in the data are found in the Strait of Juan de Fuca at approximately the northern extent of U.S. territorial waters. Additional voids may result due to the orientation of the bounding box of the data relative to the Washington State Plane North (WA SPN) projection grid. No other voids are intentional.
The horizontal accuracy of this DEM has not been tested.
The horizontal accuracy is a function of the accuracy of the various underlying data sets plus the errors introduced during the production of this DEM (including reprojecting, resampling and adjusting the horizontal datum). With the exception of the NOS conventional soundings, all data sources had a higher horizontal resolution than the 30-foot resolution for this DEM. A best-guess would be that cell values are accurate to within 1-cell spacing (30-feet)
unknown
The vertical accuracy of this DEM has not been tested.
The vertical accuracy is a function of the accuracy of the various underlying data sets plus the errors introduced during the production of this DEM. Production of the DEM included reprojecting the data to Washington State Plane North; converting units from meters to feet; adjusting the vertical datum to NAVD88 using CORPSCON 5.11.08 (for terrestrial data); VDatum 1.06 (marine data south of 48 10'); or by adding a value from a NAVD88 correction surface developed from NOS tidal benchmarks for soundings north of 48 10' (see processing steps section for details), and finally resampling the data to a 30-foot raster resolution.
In addition to the transformation errors described above, bathymetry-bathymetry and terrestrial-terrestrial overlapping data sets were merged together by using the ArcGIS 9.0 "Mosaic to New Raster" command with the "Blend" option. This proprietary algorithm feathers overlapping datasets into one another to minimize edge artifacts. It will also lower the fidelity of accurate datasets when they are "blended" with lower fidelity data.
Lidar (both bathymetric and terrestrial) error is <2 feet for the original 6-foot pixels, Swath bathymetry and NOS sounding error are depth dependent but should be <5 feet at 300 foot depth for post-1960's surveys while lead-line soundings are expected to be worse, the UW 10-meter elevation data is derived from USGS 10-meter dem's whos vertical error can exceed 50 feet. Finally, a 30-foot cell covers considerable terrain such that the variability of the ground surface within a cell can easily exceed the inherent accuracy of the original measuring equipment. In short, without an independent accuracy assessment it is difficult to estimate the vertical accuracy of these data.
Lidar (both bathymetric and terrestrial) error is <2 feet for the original 6-foot pixels, Swath bathymetry and NOS sounding error are depth dependent but should be <5 feet at 300 foot depth for post-1960's surveys while lead-line soundings are expected to be worse, the UW 10-meter elevation data is derived from USGS 10-meter dem's whos vertical error can exceed 50 feet. Finally, a 30-foot cell covers considerable terrain such that the variability of the gound surface within a cell can easily exceed the inherent accuracy of the original measuring equipment. In short, without an independent accuracy assesment it is difficult to estimate the vertical accuracy of these data.
unknown
Terrapoint, The woodlands, TX
20040427
LIDAR bare earth digital elevation model (2000-2004)
raster digital data
Available from the Puget Sound Lidar Consortium, Seattle, WA
http://rocky2.ess.washington.edu/data/raster/lidar/index.htm
12000
online
2000
2004
ground condition
Terrapoint Lidar
Lowland topography down to Mean High Water (see source graphic)
Ralph Haugerud, US Geological Survey
Joint Airborne Laser Bathymetry Technical Center of Expertise (JALBTCX)
20040610
Composite grids of SHOALS bathymetric lidar data
raster digital data
24000
DVD-ROM
200309
200310
ground condition
SHOALS LIDAR
Beach and marine data for portions of the Skagit Delta, Lowfal, Seattle, and WIRA9
Tenix LADS Corp.
200104
Near-shore bathymetry for the Puget Sound Lidar Consortium
raster digital data
Under contract with the Puget Sound Lidar Consortium
24000
DVD-ROM
200104
ground condition
Tenix LADS
Beach and marine waters of Southeast Whidbey Island from Randall Point to Possession Point and south of Mukilteo
Guy Gelfenbaum, U.S. Geological Survey
20030325
Nearshore LIDAR bathymetry of Camano Island, Puget Sound, WA
tabular digital data
24000
CD-ROM
20021002
ground condition
SHOALS LIDAR (Camano Island)
Beach and Marine shallows of western Camano Island
James V. Gardner, United States Geological Survey, Coast and Marine Geology (CMG)
20010319
Multibeam mapping the major deltas of southern Puget Sound, WA from Field Activity: R-1-01-WA
raster digital data
Openfile report 01-266
http://geopubs.wr.usgs.gov/open-file/of01-266/
24000
online
20010319
20010330
ground condition
USGS Swath Bathymetry
Swath Bathymetry for the Duwamish, Puyallup and Nissqually River Deltas.
David Evans and Associates, Inc., 2100 SW River Parkway, Portland, OR. 97201
20040206
Lower Duwamish Waterway Bathymetric Survey
Prepaired for Windward Environmental LLC, 200 West Mercer Street, Suite 401, Seattle, WA.
For submittal to:
The US Environmental Protection Agency, Region 10, Seattle, WA
The Washington State Department of Ecology, Northwest Regional Office, Bellevue, WA
http://www.ldwg.org/rifs_doc.htm
12000
online
20030825
20030829
ground condition
LDWG Swath Bathymetry
Swath bathymetry for the Lower Duwamish River Channel
Mike Gregg, Applied Physics Laboratory, University of Washington, Seattle, WA
Unpublished Material
Cruise TN146 & TN147
Post Processing by David Finlayson
24000
CD-ROM
20020519
20020523
ground condition
UW Swath Bathymetry
Portions of Admiralty Inlet and Possession Sound
Office of Coast Survey, NOAA National Ocean Service
20050101
National Ocean Service Office of Coast Survey Hydrographic Survey Data
tabular digital data
Downloaded from the web interface to GEODAS.
http://www.ngdc.noaa.gov/mgg/bathymetry/hydro.html
40000
online
1931
2000
ground condition
NOS Soundings
Major source of bathymetry (all bathymetry not collected by multibeam).
Harvey Greenberg, University of Washington, Seattle, WA
20011204
10-meter topographic digital elevation model (resampled to 30-foot)
http://rocky.ess.washington.edu/data/raster/tenmeter/index.html
24000
online
unknown
ground condition
UW 10-m DEM
All terestrial elevations not included in the LIDAR datasets
Kathy Troost, The Pacific Northwest Center for Geological Mapping Studies, University of Washington, Seattle, WA
Unpublished Material
Digital contours of Lake Washington, Washington State
electronic mail system
unknown
ground condition
GeoMap Lake Washington
Contour elevation data for Lake Washington
Terrapoint LIDAR was delivered gridded at 6-foot resolution, Washington State Plane North. However, it still included water-surface data. We manually traced the marine waterline and extracted the topography. I also filled several thin (1-2 pixel wide) linear artifact gaps in the dataset by using the EUCALLOCATION function to smooth over the gaps. This dataset was then resampled to 30-foot resolution and formed the basis of the "Master DEM".
withheld
2004
withheld
Elizabeth Cassel
University of Washington
Contract Employee
The SHOALS Bathymetric LIDAR datasets were delivered in NAD83, NAVD88 by Ralph Haugerud. However, the LADS data off Whidbey and the SHOALS data off Camano Island were still in MLLW. I used VDatum to convert the LADS data to NAVD88. However, Camano Island is north of where VDatum works (48 degrees 10 minutes). I resorted to looking up the NAVD88 value of MLLW at Crescent harbor (-73cm) and Glendale on Whidbey Island (-67cm) and split the difference (-70cm) for the Camano Island dataset. I then interpolated the two datasets into a raster in Washington State Plane North feet (NAD83).
Finally, I merged all of these datasets into the Master DEM by allowing the bathy LIDAR to fill NODATA gaps in the Master DEM.
withheld
withheld
withheld
withheld
200412
David Finlayson
The Lake Washington Bathymetric Contours were compared with NOS Chart 18477. Contour depths were determined to be in the vertical datum "Low Water of the Lake" which is 20 feet above MLLW and 18.75 feet above NAVD88 at the entrance to the Locks). A raster DEM was created in NAVD88 by TINing the contours and then trimming the results to a manually drawn polygon outlining the two lakes and the canal. This dataset was merged into the Master DEM by filling the NODATA areas associated with Lake Washington, Lake Union and the ship canal above the locks.
withheld
withheld
200412
David Finlayson
The NOS soundings were downloaded from the internet and projected into Washington State Plane North using CORPSCON 5.11.08. The data was then split into two parts at 48 degrees 10 minutes North. Soundings south of this line were converted from MLLW to NAVD88 using VDatum (48 10 is the northern limit of VDatum). Soundings north of this line were gridded in MLLW and then adjusted to NAVD88 using a correction surface interpolated from NOS tidal benchmarks. This later processing step introduces 0.75 cm error (established by cross-validation of the NAVD88 surface). Otherwise the two point sets were treated the same.
First the data was divided into 10 tiles of 0.5 x 0.5 degree extent (this was necessary to save memory while interpolating at 30-foot resolution). All of the points within the tile plus a 1 km overlap were gridded using a TIN interpolator. This TIN included a thin ribbon of points taken from the shoreline of the MASTER DEM to ensure that the TIN merged perfectly at the shoreline. The TIN was converted to a raster and a shaded relief map was produced from the raster. Obvious errors in the data were edited out of the point file. This process was repeated until all obvious errors in the bathymetry were eliminated.
withheld
200412
withheld
David Finlayson
The USGS Swath Bathymetry, UW Swath Bathymetry and LDWG Swath Bathymetry were treated similarly. Each dataset was downloaded from the internet (except the UW data) as point files. They were projected to Washington State Plane North in CORPSCON 5.11.08 and imported to ArcGIS as points. The points were gridded using a TIN interpolator and converted to a raster. The raster was trimmed using a manually drawn polygon that outlined the data area. Finally, the raster was converted from MLLW to NAVD88 by applying a single correction value determined in VDatum for the centroid of the dataset.
The resulting raster was subtracted from the appropriate NOS hydrographic tile(s) and a mean difference was established between the two elevation datasets. The correction was applied to the Swath Bathymetry (since these data were not vertically controlled to survey grade) so that the two datasets approximately matched. The corrections applied were: -4.16 ft (Duwamish Delta), -7.3 ft (Puyallup), -5.14 ft (Nisqually Delta), +6 ft (Possession Sound), +5.6 (Admiralty Inlet).
The low-resolution NOS bathymetry was trimmed around the swath bathymetry with a 300 ft overlap. Then these datasets were merged together using ArcGIS's "Mosaic to New Raster" with the "Blend" option, which is a proprietary algorithm that feathers the two data sets into one another reducing the margin artifacts.
The Admiralty Inlet swath bathymetry from the UW overlapped three tiles. Since the low-resolution NOS bathymetry was mathematically identical in each of the three tiles (where they overlapped) only a single correction was necessary (+5.6 ft).
withheld
withheld
withheld
withheld
200412
David Finlayson
A manually drawn polygon was used to outline gaps in the Master DEM that were to be filled with the lower quality data from Harvey Greenberg. This prevented the low-quality data from spoiling areas where there was good LIDAR data (but the two datasets did not agree on how it should look) and allowed the low-quality data to fill areas in the Master DEM where there were real gaps in the LIDAR.
I used ArcGIS's proprietary "Mosaic to New Raster" with the "Blend" option to smooth the transition between the low-quality elevation data and the high-quality LIDAR-derived data. The overlap between the two datasets was hand-drawn and varied from a few hundred feet in the eastern Puget Lowlands, to many hundreds of feet over the Olympics.
withheld
withheld
David Finlayson
For each of the 10 tiles there was a bathymetry raster and a portion of the Master DEM. The two portions were merged using the bathymetry raster to fill NODATA areas in the Master DEM. Next, all 10 tiles were merged together into a single DEM.
A few NODATA gaps remained in River Channels. And I set back to NODATA a few small areas that had obvious errors (like the seam between the Lidar Bathymetry and Multibeam bathymetry off Alki Point), a mountain in Elliott Bay that doesn't exist, etc. I then interpolated over the gaps using a TIN made from the pixels surrounding each data gap. This formed the final DEM.
withheld
withheld
200501
withheld
David Finlayson
Metadata imported.
withheld
20120808
12011700
Vector
Grid Cell
18692
16406
1
Simple
FALSE
0
TRUE
FALSE
coordinate pair
0.000488
0.000488
survey feet
D_North_American_1983_HARN
Geodetic Reference System 80
6378137.000000
298.257222
GCS_North_American_1983_HARN
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet
North American Vertical Datum of 1988
1.000000
feet
Explicit elevation coordinate included with horizontal coordinates
North American Vertical Datum of 1988
1
feet
Explicit depth coordinate included with horizontal coordinates
c10ftContoursde_S_SmoothLine2
Feature Class
0
ObjectID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
ID
ID
Integer
4
0
0
CONTOUR
CONTOUR
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8
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SHAPE
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0
0
Shape_Length
Shape_Length
Double
8
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Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
The digital elevation model is composed of an elevation value linked to a grid cell location representing a gridded form of a topographic map hypsogrphy overlay. Each grid cell entity contains a 16-bit integer value between -32,767 and 32,768
Puget Sound Digital Elevation Model (January 2005)
Although these data have been processed successfully on a computer system at the University of Washington, no warrenty expressed or implied is made by the University of Washington regarding the utility of the data on any other system, nor shall the act of distribution constitude any such warranty.
296.743
No Fees
These data are available for download at http://www.ocean.washington.edu/data/pugetsound/
20120808
School of Oceanography, University of Washingon, Seattle, WA
David Finlayson
Ph.D. Candidate
mailing address
Marine Geology & Geophysics
School of Oceanography
Box 357940
University of Washington
Seattle
WA
98195-7940
USA
(206) 706-1196
dfinlays@u.washington.edu
david.p.finlayson@gmail.com
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
None
None
NA
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
en
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Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet
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Draft
smoothed Contour for use in planning marine vegetation protection zones. This data has been simplified and smoothed and should not be used for anything other than basic mapping.
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