Layer: Baltimore Forest Patches (ID:5)

View In: Map Viewer

Name: Baltimore Forest Patches

Display Field: patch_type

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This forest patch layer was created using a 2017/18 high-resolution urban tree canopy map of Baltimore City derived from LiDAR and NAIP imagery (CBPO 2022). To identify forest area, tree canopy over impervious surfaces was first subtracted from the canopy layer, including buildings and roads identified from planimetric data available from Baltimore City (https://data.baltimorecity.gov/). Morphological spatial pattern analysis (MSPA; Vogt et al. 2007) was then used to distinguish forest patches from remaining tree canopy using an edge parameter of 15 m based on observed changes in vegetation composition and structure (Baker, unpublished data). MSPA applies the edge parameter to distinguish interiors (i.e. ‘cores’) from surrounding edges, as well as five other morphometric primitives (i.e. branches, bridges, loops, and islets) that reflect how canopy is or is not connected to cores. Patches always include core areas and their surrounding edges, as well as any perforations. Patches are separated into two size classes: Forested Natural Areas are patches with greater core area and thickness than Groves. Patches are classified by land ownership categories using local parcel data available from Baltimore City (https://data.baltimorecity.gov/). Ownership categories include: Federal, State, Municipal, Commercial/Industrial, Institutional, and Private Residential owners. Parcels with unknown ownership were assigned Municipal ownership.

Copyright Text: Chesapeake Bay Program Office (CBPO), 2022. One-meter Resolution Land Cover Dataset for the Chesapeake Bay Watershed, 2017/18. Developed by the University of Vermont Spatial Analysis Lab, Chesapeake Conservancy, and U.S. Geological Survey. [Accessed July 1, 2024], [https://www.chesapeakeconservancy.org/conservation-innovation-center/high-resolution-data/lulc-data-project-2022/]. Vogt P, Riitters K H, Estreguil C, Kozak J, Wade T G and Wickham J D 2007 Mapping spatial patterns with morphological image processing Landsc. Ecol. 22 171–7. https://doi.org/10.1007/s10980-006-9013-2

Min. Scale: 0

Max. Scale: 0

Default Visibility: false

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: patch_type

Fields:

OBJECTID (type: esriFieldTypeOID, alias: OBJECTID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
patch_id (type: esriFieldTypeDouble, alias: Unique ID for patch, SQL Type: sqlTypeOther, nullable: true, editable: true)
patch_type (type: esriFieldTypeString, alias: Patch type, SQL Type: sqlTypeOther, length: 80, nullable: true, editable: true)
n_own_typ (type: esriFieldTypeInteger, alias: Number of patch owners, SQL Type: sqlTypeOther, nullable: true, editable: true)
n_parcels (type: esriFieldTypeInteger, alias: Number of parcels intersecting with patch , SQL Type: sqlTypeOther, nullable: true, editable: true)
patch_area (type: esriFieldTypeDouble, alias: Patch area in acres, 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)

Types:

patch_type: Grove

patch_type: Forested Natural Area

Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

Last Edit Date: 10/16/2024 4:33:47 PM

Schema Last Edit Date: 10/16/2024 4:33:47 PM

Data Last Edit Date: 10/16/2024 2:59:45 PM

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