17 datasets found
  1. d

    Data from: Bathymetry and topography data offshore of Seattle, Washington

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Bathymetry and topography data offshore of Seattle, Washington [Dataset]. https://catalog.data.gov/dataset/bathymetry-and-topography-data-offshore-of-seattle-washington
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Seattle, Washington
    Description

    This part of USGS Data Series 935 (Cochrane, 2014) presents bathymetry and topography data for the Offshore of Seattle, California, map area, a part of the Southern Salish Sea Habitat Map Series. The data for this map area are a combination of topography extracted from a pre-existing Digital Elevation Model (DEM) merged with bathymetry data that were collected by the National Oceanic and Atmospheric Administration (NOAA) using multibeam sonar systems. The merged data are available for download in a single zip file (BathyTopo_OffshoreSeattle.zip).

  2. a

    Contours 1ft 2021 Seattle Shoreline Area

    • data-seattlecitygis.opendata.arcgis.com
    • catalog.data.gov
    Updated Feb 21, 2023
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    City of Seattle ArcGIS Online (2023). Contours 1ft 2021 Seattle Shoreline Area [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/maps/SeattleCityGIS::contours-1ft-2021-seattle-shoreline-area/about
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    Dataset updated
    Feb 21, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    1ft contours along the City of Seattle shoreline derived from Lidar captured in 2021. Contour lines display at 1ft, 5ft and 20ft intervals dependent on scale.Development Detail:This vector tile service includes topographic contour lines representing elevation at 1-foot intervals within the City of Seattle shoreline area.The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.After generating the contours from the generalized raster, all lines less than 25 feet in length were omitted from the final output.Please note: The 1-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.

  3. D

    Contours 2 ft 2001

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Feb 3, 2025
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    (2025). Contours 2 ft 2001 [Dataset]. https://data.seattle.gov/dataset/Contours-2-ft-2001/m985-8qpd
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    tsv, application/rdfxml, csv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    Contours 2ft created from 2001 LIDAR.

  4. Contours

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +3more
    Updated Aug 30, 2022
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    City of Seattle ArcGIS Online (2022). Contours [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/maps/SeattleCityGIS::contours/about
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    Dataset updated
    Aug 30, 2022
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Seattle ArcGIS Online
    Area covered
    Description

    City of Seattle 2 ft contours derived from Lidar captured in 2021. Contour lines display at 2ft, 10ft and 50ft intervals dependent on scale. Lines have been smoothed and generalized for display and performance.

    Development Detail:

    This vector tile service includes topographic contour lines representing elevation at 2-foot intervals within the city of Seattle.

    The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.

    The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.

    After running the Focal Statistics tool, 2-foot contours were generated from the filtered DEM. To reduce file size and improve performance, the contours were generalized further using the Smooth Line tool in ArcGIS. A smoothing algorithm type of Polynomial Approximation with Exponential Kernel (PAEK) and a smoothing tolerance of 20 feet was selected in the Smooth Line tool parameter options.

    Finally, after executing both generalization tools (Focal Statistics and Smooth Line), all lines less than 25 feet in length were omitted from the final output.

    Please note: The 2-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.

  5. NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

    • fisheries.noaa.gov
    • datasets.ai
    • +2more
    Updated Jan 1, 2012
    + more versions
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    Office for Coastal Management (2012). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Seattle (WA) WFO - Clallam, Jefferson, Kitsap, Mason, Pierce, and Thurston Counties [Dataset]. https://www.fisheries.noaa.gov/inport/item/48133
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    Dataset updated
    Jan 1, 2012
    Dataset provided by
    Office for Coastal Management
    Time period covered
    1996 - 2005
    Area covered
    Description

    This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas,...

  6. D

    ECA Steep Slope

    • data.seattle.gov
    application/rdfxml +5
    Updated Feb 3, 2025
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    (2025). ECA Steep Slope [Dataset]. https://data.seattle.gov/dataset/ECA-Steep-Slope/jkxf-2hbw
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    xml, application/rdfxml, csv, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description
    Displays areas with 40% steep slope or greater in the City of Seattle.

    A polygon feature class showing areas with an incline of 40% or more (10 feet of vertical rise over a horizontal distance of 25 feet or less) with a height of at least 10 feet.

    This layer was produced using a combination of 2001 LIDAR contours (Puget Sound LIDAR Consortium) and the 1993 topographic contours from aerial photos. The Steep Slope layer was most recently updated under SDCI Director's Rule 12-2019.
    The steep slope area map is called “advisory” because the mapping is used by the Seattle Department of Construction and Inspections for initial information and screening. Whether or not a site is eventually treated as an environmentally critical area is based on the actual topography of the ground surface.
    For more information about the definition of steep slope erosion hazard areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

    Because of the size of this dataset, we do not recommend trying to download it. Please use as a service. If you need a particular area extracted, please use this form to make a request:

    Updated as needed.
  7. n

    Data from: Landslide Susceptibility Estimated From Mapping Using Light...

    • cmr.earthdata.nasa.gov
    Updated Apr 24, 2017
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    (2017). Landslide Susceptibility Estimated From Mapping Using Light Detection and Ranging (LIDAR) Imagery and Historical Landslide Records, Seattle, Washington [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231550356-CEOS_EXTRA.html
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    Dataset updated
    Apr 24, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    Landforms in Seattle, Washington, that were created primarily by landsliding were mapped using LIDAR-derived imagery. These landforms include landslides (primarily landslide complexes), headscarps, and denuded slopes. Over 93 percent of about 1,300 reported historical landslides are located within the LIDAR-mapped landform boundaries. The spatial densities of reported historical landslides within the LIDAR-mapped landforms provide the relative susceptibilities of the landforms to past landslide activity. Because the landforms were primarily created by prehistoric landslides, the spatial densities also provide reasonable estimates of future landslide susceptibility. The mapped landforms and susceptibilities provide useful tools for landslide hazard reduction in Seattle.

    [Summary provided by the USGS.]

  8. D

    SPU DWW Drainage Basins

    • data.seattle.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Feb 3, 2025
    + more versions
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    (2025). SPU DWW Drainage Basins [Dataset]. https://data.seattle.gov/dataset/SPU-DWW-Drainage-Basins/x3nj-dxd7
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    csv, application/rdfxml, tsv, json, application/rssxml, xmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description

    The polygons are intended for use by the City of Seattle as planning-level tool for a preliminary understanding of the drainage patterns in particular areas of the City. The layer is not complete and does not reflect any City determination about how specific locations should be characterized. Drainage Basins areas were delineated using topography, roads and utility infrastructure based on current GIS data, 200-foot scale maps, side sewer cards and engineering design documents. Data source is DWW.drainage_basin_plgn_pv. Labels are based on the attribute NAME.

    Refreshed weekly.

  9. 2000 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Kitsap...

    • fisheries.noaa.gov
    • data.amerigeoss.org
    html
    Updated May 1, 2013
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    OCM Partners (2013). 2000 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Kitsap Peninsula, Washington [Dataset]. https://www.fisheries.noaa.gov/inport/item/50137
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    htmlAvailable download formats
    Dataset updated
    May 1, 2013
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Dec 1, 2000 - Jan 30, 2001
    Area covered
    Description

    TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 1,146 square miles and covers part of Kitsap Peninsula, the Seattle area north to the King-Snohomish county border and east to Snoqualmie. The data is broken down into USGS quarter quads and then into 25 tiles within each quarter quad.

    All data was collected during...

  10. Multibeam collection for B00156: Multibeam data collected aboard Surveyor...

    • ncei.noaa.gov
    • datasets.ai
    • +1more
    html
    Updated Nov 17, 2021
    + more versions
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    National Oceanic and Atmospheric Administration (NOAA) (2021). Multibeam collection for B00156: Multibeam data collected aboard Surveyor from 27-Jul-88 to 05-Aug-88, Seattle, Washington to Seattle, Washington [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.multibeam:B00156_Multibeam
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 17, 2021
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administration
    Authors
    National Oceanic and Atmospheric Administration (NOAA)
    Time period covered
    Jul 27, 1988 - Aug 5, 1988
    Area covered
    Description

    This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found

  11. D

    Community Reporting Areas

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Feb 3, 2025
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    (2025). Community Reporting Areas [Dataset]. https://data.seattle.gov/dataset/Community-Reporting-Areas/h66v-hiux
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    application/rssxml, csv, tsv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description
    Please Note: Community Reporting Areas (CRA) have been updated to follow the 2020 census tract lines which resulted in minor changes to some boundary conditions. They have also been extended into water areas to allow the assignment of CRAs to overwater housing and businesses. To exclude the water polygons from a map choose the filter, water=0.

    Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments.

    The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The U.S. Census Bureau census tract geography was chosen as the basis of the CRA geography due to their stability through time and link to widely-used demographic data.

    The following criteria for a CRA geography were defined for this effort:
    • no overlapping areas
    • complete coverage of the city
    • suitable scale to represent neighborhood areas/conditions
    • reasonably stable over time
    • consistent with census geography
    • relatively easy to use in a data context
    • familiar system of common place names
    • respects neighborhood district geography to the extent possible
    The following existing geographies were reviewed during this effort:
    • neighborhood planning areas (DON)
    • neighborhood districts (DON/CNC/Neighborhood District Councils)
    • city sectors/neighborhood plan implementation areas (DON)
    • urban centers/urban villages (DPD)
    • population sub-areas (DPD)
    • Neighborhood Map Atlas (City Clerk)
    • Census tract geography
    • topography
    • various other geographic information sources related to neighborhood areas and common place names
    This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.
  12. d

    ECA Steep Slope

    • catalog.data.gov
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). ECA Steep Slope [Dataset]. https://catalog.data.gov/dataset/eca-steep-slope-b8588
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displays areas with 40% steep slope or greater in the City of Seattle.A polygon feature class showing areas with an incline of 40% or more (10 feet of vertical rise over a horizontal distance of 25 feet or less) with a height of at least 10 feet. This layer was produced using a combination of 2001 LIDAR contours (Puget Sound LIDAR Consortium) and the 1993 topographic contours from aerial photos. The Steep Slope layer was most recently updated under SDCI Director's Rule 12-2019. The steep slope area map is called “advisory” because the mapping is used by the Seattle Department of Construction and Inspections for initial information and screening. Whether or not a site is eventually treated as an environmentally critical area is based on the actual topography of the ground surface. For more information about the definition of steep slope erosion hazard areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. Because of the size of this dataset, we do not recommend trying to download it. Please use as a service. If you need a particular area extracted, please use this form to make a request:<a href='https://forms.office.com/Pages/ResponsePage.aspx?id=RR7meOtrCUCPmTWdi1T0G9zIhm_E9thFiIFY5ws9oKtUQUlNU0hTQ0pGQlhOUDNSOExZQlhXM01INi4u' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc

  13. d

    High-resolution digital elevation dataset for Glacier Peak and vicinity,...

    • dataone.org
    • data.usgs.gov
    • +4more
    Updated Apr 27, 2017
    + more versions
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    Joseph Bard (2017). High-resolution digital elevation dataset for Glacier Peak and vicinity, Washington, based on lidar surveys of August-November, 2014 and June, 2015 [Dataset]. https://dataone.org/datasets/18300163-756b-4641-9698-9622faacf48a
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    Dataset updated
    Apr 27, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Joseph Bard
    Time period covered
    Aug 25, 2014 - Jun 24, 2015
    Area covered
    Description

    Glacier Peak is a 3,214 m (10,544 ft.) stratovolcano composed mainly of dacite. The volcano is located in the Glacier Peak Wilderness Area, in the Mt. Baker-Snoqualmie National Forest, about 100 km (65 mi) northeast of Seattle and 110 km (70 mi) south of the International Boundary with Canada. Since the continental ice sheets receded from the region approximately 15,000 years ago, Glacier Peak has erupted repeatedly during at least six episodes. Two of these eruptions were among the largest in the Cascades during this time period. This DEM (digital elevation model) of Glacier Peak is the product of high-precision airborne lidar (Light Detection and Ranging) surveys performed during August-November, 2014 and June, 2015 by Quantum Spatial under contract with the USGS. This digital map, totaling approximately 475 square miles, represents the ground surface beneath forest cover and contributes to natural hazard monitoring efforts, the study of regional geology, volcanic landforms, and landscape modification during and after future volcanic eruptions, both at Glacier Peak or elsewhere globally. This release is comprised of a DEM dataset accompanied by a hillshade raster, each divided into 18 tiles. Each tile’s bounding rectangle is identical to the extent of the USGS 7.5 minute topographic quadrangles covering the same area. The names of the DEM tiles are eleven characters long (e.g., dem_xxxxxx). The prefix, "dem", indicates the file is a DEM and the last seven characters correspond to the map reference code of the quadrangle defining the tile's spatial extent. Hillshade tile names are denoted by the prefix "hs", but are otherwise identical to the DEM they are derived from.

  14. D

    ECA Known Slide Scarps

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Feb 3, 2025
    + more versions
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    (2025). ECA Known Slide Scarps [Dataset]. https://data.seattle.gov/dataset/ECA-Known-Slide-Scarps/erdu-ce8m
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    json, tsv, csv, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Feb 3, 2025
    Description
    Displays areas of landslide events based on a Seattle Landslide Study completed by Shannon and Wilson.

    A polygon feature class showing landslide event inventory. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer includes a more comprehensive collection of slide events maintained by Shannon and Wilson via the Seattle Landslide Study which included slide data through June 1999.

    The Known Slide layer was most recently updated under SDCI Director's Rule 12-2019.

    For more information about the definition of known slide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

    Updated as needed.
  15. a

    Seattle Shoreline

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +2more
    Updated Sep 1, 2022
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    City of Seattle ArcGIS Online (2022). Seattle Shoreline [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/items/68321b62ca244950a0a0c1dfbd132562
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    Dataset updated
    Sep 1, 2022
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    The shoreline essentially follows the 8 foot contour line, except where the ortho offered further clarification. That 8 foot contour line matches closest to what NAVD88 shows as "mean high water" (see official definition below) at 7.97 feet. MEAN HIGH WATER (MHW): "A tidal datum. The average of all the high water heights observed over the National Tidal Datum Epoch. For stations with shorter series, simultaneous observational comparisons are made with a control tide station in order to derive the equivalent datum of the National Tidal Datum Epoch." Source "The MHW line along the tidal shoreline is represented by the contour line that is 8.0' above the NAVD 88. The MHW elevation is not necessarily an equipotential (level) surface, but the variation from a level surface is not significant for this project. The determination of MHW is based on 18 yrs of tidal data and represents the latest official National Tidal Epoch of 1960-1978. The Seattle Tide Station (Sta No 944-7130) is located at the downtown ferry terminal." Source: From paper by Nick Bodnar 10/18/1993 Some other definitions regarding these shorelines (from Nick Bodnar, 10/18/1993): LAKES UNION AND WASHINGTON SHORELINE (18.6' above NAVD 88) The approximation of "ordinary high water"; the level of Lk Washington varies from 17.0'-18.6' during the year; the max lake elevation is 18.8' as controlled by Corps of Engineers (COE) at Hiram Chittenden Locks. The NAVD 88 lake elevations have been converted from the U.S. Engineers Datum. This zero of NAVD 88 is 3.25' above the Locks Datum at the common bench mark P-7. The shoreline contour of 18.8' above NAVD 88 should be used from the Locks, upstream through Lk Union and Lk Washington. The COE has performed various studies that show the level of Lk Wash to approximate an equipotential surface that can be represented by a single contour elevation for mapping purposes. OTHER LAKES The shoreline around Green Lake and all other lakes are delimited by the water/land interface as seen on the aerial photography.

    Displays data from CARTO.SHORE_LNUpdated as needed.

  16. a

    ECA Liquefaction Prone Areas

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.seattle.gov
    • +2more
    Updated Jul 11, 2023
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    City of Seattle ArcGIS Online (2023). ECA Liquefaction Prone Areas [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/54d60c326ede4a7eba5eb974c1156fd1
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    Dataset updated
    Jul 11, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Displays areas with liquefaction zones.A polygon feature class that shows liquefaction zones. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer was created in 1995 using data obtained from the USGS. Some edits were made to the edges to better coincide with the City's two foot contour data.Areas of the City subject to ground shaking from seismic hazards that are addressed by Title 22.The Seattle Fault zone as delineated in Troost et al., 2005, The geologic map of Seattle, a progress report, U.S. Geological Survey, Open-file report 2005-1252 , or as the Director determines is more accurately mapped by the U.S. Geological Survey, as set out in a Director's Rule.For more information about the definition of liquefaction zones, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. Updated as needed.

  17. a

    ECA Known Slide Events

    • hub.arcgis.com
    • catalog.data.gov
    • +1more
    Updated Jul 6, 2023
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    City of Seattle ArcGIS Online (2023). ECA Known Slide Events [Dataset]. https://hub.arcgis.com/maps/SeattleCityGIS::eca-known-slide-events-1
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    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Displays areas of landslide events based on a Seattle Landslide Study completed by Shannon and Wilson.A polygon feature class showing landslide event inventory. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer includes a more comprehensive collection of slide events maintained by Shannon and Wilson via the Seattle Landslide Study which included slide data through June 1999.The Known Slide layer was most recently updated under SDCI Director's Rule 12-2019.For more information about the definition of known slide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.Updated as needed.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. Geological Survey (2024). Bathymetry and topography data offshore of Seattle, Washington [Dataset]. https://catalog.data.gov/dataset/bathymetry-and-topography-data-offshore-of-seattle-washington

Data from: Bathymetry and topography data offshore of Seattle, Washington

Related Article
Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Seattle, Washington
Description

This part of USGS Data Series 935 (Cochrane, 2014) presents bathymetry and topography data for the Offshore of Seattle, California, map area, a part of the Southern Salish Sea Habitat Map Series. The data for this map area are a combination of topography extracted from a pre-existing Digital Elevation Model (DEM) merged with bathymetry data that were collected by the National Oceanic and Atmospheric Administration (NOAA) using multibeam sonar systems. The merged data are available for download in a single zip file (BathyTopo_OffshoreSeattle.zip).

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