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Aquatics/Nearshore_img_NPugetSound_2024 (ImageServer)

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Service Description:

This aerial imagery mosaic was collected on behalf of the Washington State Department of Natural Resources (WA DNR) by NV5 as part of a program to map the annual extent of floating kelp canopies in Washington State. There are two species of floating kelp in Washington: bull kelp (Nereocystis luetkeana; found in all surveyed areas) and giant kelp (Macrocystis pyrifera; found along the Pacific coast and Strait of Juan de Fuca). Floating kelp forests provide essential habitat for many marine species and are culturally and economically significant in the Northeast Pacific and around the world. Areas surveyed with aerial imagery in 2024 include the US side of the Strait of Juan de Fuca, Northern Pacific Coast, Admiralty Inlet, North Puget Sound, the San Juan Islands, Saratoga Passage and the Whidbey Island Basin, WA DNR managed Aquatic Reserves (Cherry Point AR, Cypress Island AR, and Smith & Minor Islands AR), and the Tacoma Narrows. Aerial surveys were conducted between August and September during low-tide, slack-current conditions identified by WA DNR as optimal for kelp forest monitoring. This imagery has four spectral bands (Band_1 = red, Band_2 = green, Band_3 = blue, Band_4 = near-infrared) plus an alpha channel (Band_5), and was collected at 6-inch spatial resolution. A full report summarizing collection methods can be found here. Floating kelp canopies can be readily visualized using an “NGB” band combination (near-infrared, green, blue) but can also be seen in many places with standard RGB imagery (red, green, blue). Floating kelp distribution data generated based on this imagery supports WA DNR's long-term kelp forest monitoring goals and mandate to ensure environmental protection of state-owned aquatic lands. Imagery from this project is publicly distributed in compressed (lossy) MrSID format for accessibility and efficient visualization, and is therefore not suitable for image classification and analysis. Please contact the WA DNR Nearshore Habitat Program about other data products that are available to be shared.

For more information and inquiries about products available at specific locations, please contact Danielle Claar, WA DNR, Nearshore Habitat Program at: danielle.claar@dnr.wa.gov or nearshore@dnr.wa.gov.



Name: Aquatics/Nearshore_img_NPugetSound_2024

Description:

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.5

Pixel Size Y: 0.5

Band Count: 5

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: This imagery was collected and processed for the WA State Department of Natural Resources Nearshore Habitat Program by NV5 Geospatial. 2025.

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 8, 17, 25, 3, 0

Max Values: 254, 254, 254, 254, 255

Mean Values: 45.527707287764, 67.303659108676, 77.782143401005, 47.152437419477, 109.09294960622

Standard Deviation Values: 24.444984902423, 21.165579236798, 16.820436688001, 49.503671648957, 126.16429960998

Object ID Field:

Fields: None

Default Mosaic Method: Center

Allowed Mosaic Methods:

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: null

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: null

Max Mosaic Image Count: null

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project