Parent Layer: Mangroves

Name: Soil Organic Carbon1 (metric tons)

Display Field: Decile

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: Results of a project which used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Results are presented in decile blocks. Sanderman et al. (in review) A global map of mangrove forest soil carbon at 30 m spatial resolution. Environmental Research Letters.

Copyright Text: Woods Hole Research Group, TNC

Default Visibility: true

MaxRecordCount: 100000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

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Extent:

XMin: -2.00320536877E7
YMin: -4687779.989799999
XMax: 2.00361725089E7
YMax: 3809473.5331000015
Spatial Reference: 102100  (3857)

Drawing Info:

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Labeling Info:

Advanced Query Capabilities:

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HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Decile ( type: esriFieldTypeSmallInteger, alias: Decile )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Supported Operations:   Query   Generate Renderer   Return Updates

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