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Layer: Official Data (0)

Sub Layers:
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• Wetlands
• Geotech Report Zones
• Watersheds (PAU Basins)
• 2020 Flood Hazard Areas
• 1999 Flood Hazard Areas
Name: Official Data

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Layer: Stream Buffers (1)

Name: Stream Buffers

Display Field: Shape.STArea()

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Updated 7-22-2014.

Service Item Id: 85d7fd4d144045e6b975bb73b8e91c4b

Copyright Text:

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MaxRecordCount: 2000

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Supported Query Formats: JSON, geoJSON, PBF

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Layer: Wetlands (2)

Sub Layers:
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Name: Wetlands

Display Field:

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Layer: Wetlands (3)

Parent Layer: Wetlands

Name: Wetlands

Display Field: Name

Type: Feature Layer

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Description: Compiled from a variety of sources including Snohomish County, National Wetlands Inventory (NWI), plat maps, and professional wetland delineations. This data is intended to show the approximate location of known wetlands within the City of Mukilteo and is meant only as a general guide. The location and extent of wetlands are determined on a lot-by-lot, project-by-project basis, and if a wetland is not shown on the inventory map, that does not necessarily mean wetlands do not occur on the lot. The city will update the wetland inventory map as wetlands are mapped in the field and submitted by applicants to the city.The wetland boundary and type shall be determined by a qualified wetland specialist. In the event of any conflict between the wetland location or designation shown on the city’s map and the location or designation as determined in the field by a qualified wetland specialist using the defined wetland delineation procedures, the field determination shall control.

Service Item Id: 85d7fd4d144045e6b975bb73b8e91c4b

Copyright Text: City of Mukilteo GIS

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Layer: Wetland Surveys (4)

Parent Layer: Wetlands

Name: Wetland Surveys

Display Field: Name

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Layer: Geotech Report Zones (5)

Name: Geotech Report Zones

Display Field: Geotech_Report_Required

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This service displays the areas where a geotechnical report is required. This data is approximate and only meant as a general guide. This data was developed with help from a by a geotechnical engineering consultant in 2005. Factors taken into account were: Liquefaction, Landslide Hazard Areas (Moderate, High, and Very High), Known Landslides, Whidbey Fault Lines, and Soil Types.

Service Item Id: 85d7fd4d144045e6b975bb73b8e91c4b

Copyright Text: City of Mukilteo GIS, Zipper Geo

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Layer: Watersheds (PAU Basins) (6)

Name: Watersheds (PAU Basins)

Display Field: LG_M1

Type: Feature Layer

Geometry Type: esriGeometryPolygon

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Description: This is a point feature class used define the approximate head scarp or initiation area of landslides using the methods described in the protocol. Recent landslides visible in aerial/orthoimagery, from lidar, from field reconnaissance, or from information from outside sources are defined with this feature class. This feature class only includes attribute fields the analyst can populate remotely or from reconnaissance-level field mapping. This feature class is part of a larger landslide inventory dataset for Washington State.

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Layer: Landslide Compilation (16)

Parent Layer: 2022 Landslide Inventory (WADNR)

Name: Landslide Compilation

Display Field: LANDSLIDE_NAME

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Description: This feature class contains landslides compiled from a variety of sources, spanning the past few decades. The Landslide Compilation contains landslides from the following sources: (1) Landslides that are mapped within 1:24,000-scale geologic mapping (not statewide) and our statewide 1:100,000-scale geologic map compilation; (2) a miscellaneous compilation of pre-existing landslide data from several sources, including the Washington Geological Survey, the Department of Natural Resources’ Forest Practices Division, and other federal and private entities; (3) landslides mapped as part of Watershed Analysis efforts for the Forest Practices Board; (4) reconnaissance-scale mapping of landslides associated with significant landslide events; and (5) a study of near-shore landforms along the Salish Sea.1:24,000-scale and 1:100,000-scale Landslides from Geologic Mappings how landslides that were extracted from 1:24,000- and 1:100,000-scale geologic maps. Landslide mapping was not the primary purpose of these projects, and the absence of a mapped landslide in a particular location does not suggest that no landslide exists or that there is no landslide risk. Also, due to the scale of the final mapping products, landslides with deposits too small to be identified in any included scale of geologic mapping (for example, debris flows, debris avalanches, rock topples, etc.) are not typically included. Only partial coverage exists for landslides mapped at 1:24,000 scale. 1:100,000-scale mapping covers the entire state.Miscellaneous Landslide Mapping is compiled landslide data from many sources focused on landslide mapping. Each project has its own protocol and methods, so it is up to the user to determine how best to interpret the landslide data. To avoid the risk of misinterpretation, invalid results, and erroneous conclusions, users should consider original map scale, collection methodology, original mapping purpose, currency of data, and any other conditions specific to every data element and each dataset as a whole.Watershed Analysis Landslide Mapping polygons were created to support forest practices rules in identification of unstable slopes in various watersheds throughout the state. Rule-identified landform mapping was conducted using aerial photographs, maps (including geology, soil, and topographic), field observations, and limited lidar. Landforms were identified and mapped using a Watershed Analysis or the Landslide Hazard Zonation Protocol. All rule-identified landforms are not shown; only areas identified as landslides in the original watershed analyses are included in this data.Reconnaissance-Scale Landslide Mapping is compiled landslides mapped from surveys immediately following widespread rain or rain-on-snow events in Washington. Mapping techniques for these large-scale surveys vary between aerial surveys from small aircraft, aerial photography, or lidar identification, with minimal field verification.The Salish Sea Landforms identifies landforms along 2,200 miles of Salish Sea shoreline that have characteristics of deep-seated landslides, but lack the thorough investigation necessary to classify these landforms as landslides. All landforms in this layer were identified using historic aerial imagery and 3- to 6-foot LiDAR digital elevation models (DEM). Based on interpretation of LiDAR derivatives (such as hill shades, contour lines, and slope gradient) and aerial imagery, observations of geomorphic features representative of a deep-seated landslide were delineated in a GIS. Due to the method of data collection and the certainty of the data, this dataset should not be confused with a landslide inventory, which typically undergoes a thorough, historic aerial imagery analysis, field validation, and peer review. Landslides from various projects may or may not have used lidar for landslide identification. Landslides in this compilation are mapped at various scales and with varied purpose. Many of these compilation layers are not statewide in extent – the absence of a mapped landslide in a particular location does not suggest that no landslide exists or that there is no landslide risk.To avoid the risk of misinterpretation, invalid results, and erroneous conclusions, users must consider original map scale, collection methodology, currency of data, and any other conditions specific to every data element and each dataset as a whole. This dataset is not intended as a substitute for a detailed investigation of potential slope instability by a qualified practitioner. Site-specific analysis may give results that differ from those displayed on the map.In areas where the Landslide Compilation is overlapped by the lidar-based Landslide Inventory, the overlapping zones have been attributed as ‘superseded.’ These layers are not displayed on the portal but are available in the GIS download of the Landslide Compilation.

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• LANDSLIDE_LIMIT_DATE ( type: esriFieldTypeDate, alias: Landslide Limit Date, length: 8 )
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Layer: Scarps (17)

Parent Layer: 2022 Landslide Inventory (WADNR)

Name: Scarps

Display Field: COMMENTS

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: This is a polyline feature class used to graphically represent the head scarp and internal scarps (if present) of a landslide using the methods described in the protocol. Only scarps visible in lidar (light detection and ranging) derivative datasets are delineated with this feature class, and no scarps inferred from aerial/orthoimagery, field reconnaissance, or other techniques are included. This feature class is part of a larger landslide inventory dataset for Washington State. Polylines in this feature class are related with polygons in the landslide_deposit and scarp_and_flank feature classes by using the LANDSLIDE_ID primary key field.

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Layer: Scarps and Flanks (18)

Parent Layer: 2022 Landslide Inventory (WADNR)

Name: Scarps and Flanks

Display Field: COMMENTS

Type: Feature Layer

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Description: This is a polygon feature class used to delineate the head scarp and flanks of landslides using the methods described in protocol. Only scarps and flanks visible in lidar (light detection and ranging) derivative datasets are delineated with this feature class, and no scarps or flanks inferred from aerial/orthoimagery, field reconnaissance, or other techniques are included. This feature class is part of a larger landslide inventory dataset for Washington State. Polygons in this feature class are related with polygons in the landslide_deposit feature class, and polylines in the scarp feature class, by using the LANDSLIDE_ID primary key field.

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Layer: Landslide Deposits (19)

Parent Layer: 2022 Landslide Inventory (WADNR)

Name: Landslide Deposits

Display Field: LS_NAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This is a polygon feature class used to delineate landslide deposits using the methods described in the report accompanying these data. Only landslide deposits visible in lidar (light detection and ranging) derivative datasets are delineated with this feature class, and no deposits inferred from aerial/orthoimagery, field reconnaissance, or other techniques are included. This feature class only includes attribute fields the analyst can populate remotely. This feature class is part of a larger landslide inventory dataset for Washington State. Polygons in this feature class are related with polygons in the scarps_and_flanks feature class, and polylines in the scarps feature class, by using the LANDSLIDE_ID primary key field.

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