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ImageServices/Ky_KLCD_2001_30M (ImageServer)

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Service Description: To manage Kentucky’s forests in a long-term sustained manner, private and public agencies must understand the composition and extent of Kentucky’s forests and how they are changing. One of the objectives of the Kentucky Landscape Snapshot Project (KLS) was to refine several classes from the baseline NLCD 2001 land cover map to Kentucky specific categories. The resulting 2001 Kentucky Land Cover Dataset (KLCD01) provided information with which to advise landowners and government agencies in forest management within the context of a larger ecosystem. The KLCD01 map is based on a hierarchal mapping approach using the National Land Cover Dataset (NLCD 2001) as a baseline map from which specific classes relevant to Kentucky were refined. Refinement of land cover classes was achieved by use of a classification and decision tree (DT) method relying on a combination of Landsat imagery and ancillary data. This approach proved successful in limiting the effects resulting from errors of commission with other Level II classes. DT trees were created using a hierarchical method whereby rules were created and applied only for sub classes of a single baseline map category. For example, DT rules were generated to classify only deciduous pixels from the baseline map into its three sub-classes such as “Oak Forest”, “Yellow Poplar Forest”, and “Mixed Deciduous Forest”. Sanborn produced for the KLS a statewide land cover dataset, KLCD 2001, consisting of 32 individual land cover classes. The increase in classification detail resulted in Level III classes being introduced such as Openland Mined, and various types of Woodland, for example. The hierarchical breakdown of land cover classes and a detailed description of the product appear on the project report, available from the Kentucky GeoPortal: http://kygisserver.ky.gov/geoportal/catalog/search/resource/details.page?uuid=%7B4A55CEB9-D916-404C-93CB-278C4CF3F008%7D. The accuracy assessment report for the KLCD01 is also available from the same source: http://kygisserver.ky.gov/geoportal/catalog/search/resource/details.page?uuid=%7BCB1F6AFD-C652-4414-AC48-7AA90D200EE0%7D . The preferred citation for this product is: “Harp, G.R., D.P. Zourarakis, A. Brenner, M. Palmer, and R. Boggs; R. Young, ed. 2006. Kentucky Landscape Snapshot Project - Final Performance Report. "Monitoring and Assessment of Forest and Urban Resources in the Commonwealth of Kentucky. NASA BAA-0144-0016; Grant Award and Cooperative Agreement # NAG13-020204. Frankfort KY, 40601. 78 pp.”

Name: ImageServices/Ky_KLCD_2001_30M

Description: To manage Kentucky’s forests in a long-term sustained manner, private and public agencies must understand the composition and extent of Kentucky’s forests and how they are changing. One of the objectives of the Kentucky Landscape Snapshot Project (KLS) was to refine several classes from the baseline NLCD 2001 land cover map to Kentucky specific categories. The resulting 2001 Kentucky Land Cover Dataset (KLCD01) provided information with which to advise landowners and government agencies in forest management within the context of a larger ecosystem. The KLCD01 map is based on a hierarchal mapping approach using the National Land Cover Dataset (NLCD 2001) as a baseline map from which specific classes relevant to Kentucky were refined. Refinement of land cover classes was achieved by use of a classification and decision tree (DT) method relying on a combination of Landsat imagery and ancillary data. This approach proved successful in limiting the effects resulting from errors of commission with other Level II classes. DT trees were created using a hierarchical method whereby rules were created and applied only for sub classes of a single baseline map category. For example, DT rules were generated to classify only deciduous pixels from the baseline map into its three sub-classes such as “Oak Forest”, “Yellow Poplar Forest”, and “Mixed Deciduous Forest”. Sanborn produced for the KLS a statewide land cover dataset, KLCD 2001, consisting of 32 individual land cover classes. The increase in classification detail resulted in Level III classes being introduced such as Openland Mined, and various types of Woodland, for example. The hierarchical breakdown of land cover classes and a detailed description of the product appear on the project report, available from the Kentucky GeoPortal: http://kygisserver.ky.gov/geoportal/catalog/search/resource/details.page?uuid=%7B4A55CEB9-D916-404C-93CB-278C4CF3F008%7D. The accuracy assessment report for the KLCD01 is also available from the same source: http://kygisserver.ky.gov/geoportal/catalog/search/resource/details.page?uuid=%7BCB1F6AFD-C652-4414-AC48-7AA90D200EE0%7D . The preferred citation for this product is: “Harp, G.R., D.P. Zourarakis, A. Brenner, M. Palmer, and R. Boggs; R. Young, ed. 2006. Kentucky Landscape Snapshot Project - Final Performance Report. "Monitoring and Assessment of Forest and Urban Resources in the Commonwealth of Kentucky. NASA BAA-0144-0016; Grant Award and Cooperative Agreement # NAG13-020204. Frankfort KY, 40601. 78 pp.”

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 98.42500000000001

Pixel Size Y: 98.425

Band Count: 1

Pixel Type: S16

RasterFunction Infos: N/A

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: true

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: USGS, DGI

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 110

Max Values: 720

Mean Values: 331.56095344277156

Standard Deviation Values: 117.8538713107918

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: Nearest

Max Record Count: null

Max Image Height: 80000

Max Image Width: 80000

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: true

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Raster Attribute Table   Histograms   Key Properties   Color Map   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Identify   Measure   Compute Histograms   Get Samples   Compute Class Statistics