Layer: 2016 California Department of Fish & Wildlife Kelp Polygons (ID:0)

View In: Map Viewer

Name: 2016 California Department of Fish & Wildlife Kelp Polygons

Display Field: Class_Name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This vector dataset is a thematic map representing mosaicked multi-spectral imagery, targeting both exposed and submerged kelp beds along the California coastline and Channel Islands. The imagery used to create this classification was acquired at a spatial resolution of 0.3 meters using a Microsoft UltraCam Eagle digital camera acquiring in the red, green, blue, and near-infrared bands. The image mosaic product used for the classification is a result of the resampling of the 0.3 meter data to 2 meter resolution. The data are projected in California Teale Albers using North American Datum 1983. Surface kelp canopy and subsurface kelp classifications are separate. The data was collected and processed by Sandoval & Associates, LLC under contract by the California Department of Fish and Wildlife (CDFW). CDFW must be credited with the distribution of these data. The imagery was collected September 3-25, 2016. This dataset is complete at this time, although the user should note any omissions. DISCLAIMER The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: (1)Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of imagery collection. Season variability may account for differences in surveys which may not reflect a change in the bed's extent, productivity, or harvest level. (2) Statisical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. (3) Survey methods may not be consistent. Some method of calibration between the methods should be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. (4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Image coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether imagery were acquired for an area of interest.

Copyright Text: California Department of Fish and Wildlife - Marine Region, Sandoval & Associates, LLC

Min. Scale: 0

Max. Scale: 0

Default Visibility: true

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

Drawing Info:

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HasZ: false

HasM: false

Has Attachments: false

Has Geometry Properties: true

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Object ID Field: OBJECTID

Unique ID Field:

Global ID Field:

Type ID Field:

Fields:

OBJECTID (type: esriFieldTypeOID, alias: OBJECTID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
KelpBed (type: esriFieldTypeInteger, alias: KelpBed, SQL Type: sqlTypeOther, nullable: true, editable: true)
Class_Name (type: esriFieldTypeString, alias: Class_Name, SQL Type: sqlTypeOther, length: 50, nullable: true, editable: true)
Shape_Leng (type: esriFieldTypeDouble, alias: Shape_Leng, SQL Type: sqlTypeOther, nullable: true, editable: true)
Shape__Area (type: esriFieldTypeDouble, alias: Shape__Area, SQL Type: sqlTypeDouble, nullable: true, editable: false)
Shape__Length (type: esriFieldTypeDouble, alias: Shape__Length, SQL Type: sqlTypeDouble, nullable: true, editable: false)

Templates:

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 7/28/2024 6:17:23 AM

Schema Last Edit Date: 7/28/2024 6:17:23 AM

Data Last Edit Date: 7/28/2024 6:17:23 AM

Supported Operations: Query Query Pivot Query Top Features Query Analytic Query Bins Generate Renderer Validate SQL Get Estimates ConvertFormat