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Forestry/MD_ForestrySuitability_ForestLC (ImageServer)

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Service Description: This data was created to assist the Western Maryland Resource Conservation & Development Council, Inc. and the Maryland Department of Natural Resources Forest Service to identify the suitability and availability of forest in Maryland. Utilizing available data layers and GIS analysis, the ESRGC will determine the economic viability of forest and provide an economic development web map for potential investors to view potential markets in the Maryland forestry industry. The data was developed using a model to determine the area of forest appropriate for harvesting. The data used in this analysis includes Land Use Land Cover data (2010). Criteria for this task includes land use categories of deciduous forest, evergreen forest, and mixed forest. Results of this process include the presence of forest type per 3 meter cell. Raster Values: 41 = Deciduous forest - Forested areas in which the trees characteristically lose their leaves at the end of the growing season. Included are such species as oak, hickory, aspen, sycamore, birch, yellow poplar, elm, maple, and cypress. 42 = Evergreen forest - Forested areas in which the trees are characterized by persistent foliage throughout the year. Included are such species as white pine, pond pine, hemlock, southern white cedar, and red pine. 43 = Mixed forest - Forested areas in which neither deciduous nor evergreen species dominate, but in which there is a combination of both types. Additional information about this project can be obtained by contacting esrgc@salisbury.edu.

Name: Forestry/MD_ForestrySuitability_ForestLC

Description: This data was created to assist the Western Maryland Resource Conservation & Development Council, Inc. and the Maryland Department of Natural Resources Forest Service to identify the suitability and availability of forest in Maryland. Utilizing available data layers and GIS analysis, the ESRGC will determine the economic viability of forest and provide an economic development web map for potential investors to view potential markets in the Maryland forestry industry. The data was developed using a model to determine the area of forest appropriate for harvesting. The data used in this analysis includes Land Use Land Cover data (2010). Criteria for this task includes land use categories of deciduous forest, evergreen forest, and mixed forest. Results of this process include the presence of forest type per 3 meter cell. Raster Values: 41 = Deciduous forest - Forested areas in which the trees characteristically lose their leaves at the end of the growing season. Included are such species as oak, hickory, aspen, sycamore, birch, yellow poplar, elm, maple, and cypress. 42 = Evergreen forest - Forested areas in which the trees are characterized by persistent foliage throughout the year. Included are such species as white pine, pond pine, hemlock, southern white cedar, and red pine. 43 = Mixed forest - Forested areas in which neither deciduous nor evergreen species dominate, but in which there is a combination of both types. Additional information about this project can be obtained by contacting esrgc@salisbury.edu.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 3.0

Pixel Size Y: 3.0

Band Count: 1

Pixel Type: S8

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

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: ESRGC, MDDNR, WMRCDC

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -1

Max Values: 43

Mean Values: 35.408797065155944

Standard Deviation Values: 14.791550502381424

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: null

Allow Analysis: null

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   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   Validate   Project