ImageServices/EnterpriseLandCover2010ImageService (ImageServer)

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Service Description: This dataset is a composite of the 5-class Green Infrastructure Land Cover, Building Footprints, and the 2-class Full Canopy datasets. The model to compile them accounts for features below the canopy by overlaying the GI classification with the Full Canopy. This dataset will enable the user to know where buildings, pavement, or open space exist beneath canopy. It is designed to be ingested into American Forests' CITYgreen software.A Green Infrastructure map for the 7-county SEMCOG region in southeastern Michigan was developed to support land cover and land use modeling. 4-band ADS-80 digital aerial imagery at 1-meter resolution was classified to a Green Infrastructure Level 1 classification scheme with the following classes: 1) Impervious Surface, 2) Open Space, 3) Trees, 4) Urban: Bare and 5) Water. The image was classified using Classification and Regression Tree techniques (CART analysis) and raster modeling.A standard accuracy assessment was performed on the final land cover. The overall accuracy statistic is 97.45%. Adjusted from the SEMCOG composite raster file, the data was reprojected to the Oakland County projection.

Name: ImageServices/EnterpriseLandCover2010ImageService

Description: This dataset is a composite of the 5-class Green Infrastructure Land Cover, Building Footprints, and the 2-class Full Canopy datasets. The model to compile them accounts for features below the canopy by overlaying the GI classification with the Full Canopy. This dataset will enable the user to know where buildings, pavement, or open space exist beneath canopy. It is designed to be ingested into American Forests' CITYgreen software.A Green Infrastructure map for the 7-county SEMCOG region in southeastern Michigan was developed to support land cover and land use modeling. 4-band ADS-80 digital aerial imagery at 1-meter resolution was classified to a Green Infrastructure Level 1 classification scheme with the following classes: 1) Impervious Surface, 2) Open Space, 3) Trees, 4) Urban: Bare and 5) Water. The image was classified using Classification and Regression Tree techniques (CART analysis) and raster modeling.A standard accuracy assessment was performed on the final land cover. The overall accuracy statistic is 97.45%. Adjusted from the SEMCOG composite raster file, the data was reprojected to the Oakland County projection.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 3.2808400001376867

Pixel Size Y: 3.2808400000212714

Band Count: 3

Pixel Type: U8

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: Southeast Michigan Council of Governments (SEMCOG) 2011

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0, 0, 0

Max Values: 244, 244, 219

Mean Values: 122.77984185717, 159.96942746602, 120.19191734461

Standard Deviation Values: 112.78836850107, 75.781615062055, 103.23246130603

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 Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

Use StandardizedQueries: true

Raster Type Infos:

Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources: Info Histograms Key Properties Legend MultiDimensionalInfo rasterFunctionInfos

Supported Operations: Export Image Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location