View In:   ArcGIS Online Map Viewer

Name: GRRAAgriculture_poly_scag

Display Field: count_

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The Green Region Resource Areas (GRRAs) dataset consists of information on natural hazards, sensitivities, farmland, tribal nations, military installations, and natural assets. The GRRA datasets are developed to support coordinating regional land use with transportation strategies and address the region’s growth and sustainability challenges to protect the region’s natural assets and reduce future risks from climate change. GRRAs are organized into three Data Categories with seven Topic Areas: Climate Hazards (flood hazard, sea level rise, wildfire risk), Habitat (habitat value, wildlife corridors, aquatic resources), and Agriculture (farmland). Agriculture is a vital GRRA category, valued not only for its economic importance but also for its contribution to regional sustainability, food security, and resilience. Preserving agricultural lands helps limit urban sprawl, protect carbon sequestration capacity, and sustain the long-term viability of California’s farming economy. Two data sources inform the farmland Topic Area within the data category of Agriculture: Farmland and Monitoring Program (FMMP), 2022, California Department of ConservationCalifornia Williamson Act Enrollment, 2024, California Department of ConservationData sources are merged by Topic Area, and this dataset counts the number of overlapping Topic Areas for impacted locales in the region (Farmland, Williamson Act parcels). Scores range from 0 to 1. This dataset is accompanied by similar versions for Climate Hazards and Habitat, as well as an overall summary of overlaps amongst the topic areas within the three datasets. The following datasets are a subset of the Green Region Resource Areas (GRRAs). The GRRAs dataset consists of information on natural hazards, sensitivities, farmland, tribal nations, military installations, and natural assets. The GRRA datasets are developed to support coordinating regional land use with transportation strategies and address the region’s growth and sustainability challenges to protect the region’s natural assets and reduce future risks from climate change. The following datasets are included within Agriculture:Farmland - The Farmland Mapping and Monitoring Program (FMMP) (2022) provides a statewide inventory of agricultural land, mapping farmland and grazing land at a minimum unit of 10 acres. For the purposes of mapping GRRAs, only prime farmland, farmland of statewide importance, farmland of local importance, unique farmland, and grazing land were factors carried through to the dataset.Williamson Act parcels - The California Williamson Act Enrollment (2024), which identifies lands under Williamson Act and Farmland Security Zone contracts, though it does not necessarily provide information as to the location of Agricultural Preserves within each county.Data Sources: Southern California Association of Governments (SCAG); California Williamson Act Enrollment, 2024, California Department of Conservation; Farmland Mapping and Monitoring Program (FMMP), 2022, California Department of Conservation.

Service Item Id: 9b61b626adfb49ab901392dfe5315f07

Copyright Text: SCAG

Default Visibility: true

MaxRecordCount: 2000

MaxSelectionCount: 0

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Extent:

XMin: 272122.7251000004
YMin: 3613550.844799999
XMax: 732652.2191000003
YMax: 3879172.523
Spatial Reference: 26911  (26911)  LatestVCSWkid(0)

Drawing Info:

Renderer:
Unique Value Renderer:
Field 1: count_fc
Field 2: N/A
Field 3: N/A
Field Delimiter: ,
Default Symbol:
N/A
Default Label: N/A
UniqueValueInfos:
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  Label: 1
  Description: N/A
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  Outline:
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Transparency: 0
Labeling Info:
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Label Expression: N/A
Use Coded Values: false
Symbol:
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Outline Color: N/A
Vertical Alignment: bottom
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Size: 10
Font Family: Tahoma
Font Style: normal
Font Weight: normal
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Min. Scale: 0.0
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Feature Draw Order:

N/A

Advanced Query Capabilities:

Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: false
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: true
Supports Returning Geometry Centroid: true
Supports Binning LOD: true
Supports Query With LOD Spatial Reference: true
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: false
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true

HasZ: true

HasM: true

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: count_fc

Fields:

• objectid ( nullable: false, defaultValue: null, editable: false, length: 4, type: esriFieldTypeOID, modelName: objectid, alias: Object ID )
• count_ ( nullable: true, editable: true, defaultValue: null, type: esriFieldTypeInteger, modelName: count_, alias: Count of Overlapping features )
• count_fc ( nullable: true, editable: true, defaultValue: null, type: esriFieldTypeInteger, modelName: count_fc, alias: Count of Overlapping Data Topic Areas )
• year ( nullable: true, editable: true, defaultValue: null, type: esriFieldTypeInteger, modelName: year, alias: Dataset Year )
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Types:

ID: 1
Name: 1
Domains:
Templates:
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  Description:
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  Drawing Tool: esriFeatureEditToolPolygon

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Capabilities: Query

Sync Can Return Changes: true

Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Supports ApplyEdits By Upload Id: true

Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Child Resources:

Supported Operations:   Query   Query Attachments   Query Analytic   Query Top Features   Query Bins   Append   Validate SQL   Generate Renderer   Return Updates   Metadata   Update Metadata