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Service Description: These data can be used in a geographic information system (GIS) for any
number of purposes such as assessing wildlife habitat, water quality, pesticide
runoff, land use change, etc. The state data sets are provided with a 300 meter
buffer beyond the State border to faciliate combining the State files into larger
regions.
The user must have a firm understanding of how the datasets were compiled and the
resulting limitations of these data. The National Land Cover Dataset was compiled
from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30
meters and supplemented by various ancillary data (where available). The analysis
and interpretation of the satellite imagery was conducted using very large,
sometimes multi-state image mosaics (i.e. up to 18 Landsat scenes). Using a
relatively small number of aerial photographs for 'ground truth', the thematic
interpretations were necessarily conducted from a spatially-broad perspective.
Furthermore, the accuracy assessments (see below) correspond to 'federal regions'
which are groupings of contiguous States. Thus, the reliability of the data is
greatest at the State or multi-State level. The statistical accuracy of the data
is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to
see if they are of sufficient reliability before attempting to use the
dataset for larger-scale or local analyses. This evaluation must be made
remembering that the NLCD represents conditions in the early 1990s.
The Georgia portion of the NLCD was created as part of land cover
mapping activities for Federal Region IV that includes the States of
South Carolina, Florida, Alabama, Mississippi, North Carolina, Kentucky,
and Tennessee. The NLCD classification contains 21 different land
cover categories with a spatial resolution of 30 meters. The NLCD was
produced as a cooperative effort between the U.S. Geological Survey
(USGS) and the U.S. Environmental Protection Agency (US EPA) to produce
a consistent, land cover data layer for the conterminous U.S. using
early 1990s Landsat thematic mapper (TM) data purchased by the Multi-
resolution Land Characterization (MRLC) Consortium. The MRLC Consortium
is a partnership of federal agencies that produce or use land cover data.
Partners include the USGS (National Mapping, Biological Resources, and
Water Resources Divisions), US EPA, the U.S. Forest Service, and the
National Oceanic and Atmospheric Administration.
Name: NLCD_2001
Description: These data can be used in a geographic information system (GIS) for any
number of purposes such as assessing wildlife habitat, water quality, pesticide
runoff, land use change, etc. The state data sets are provided with a 300 meter
buffer beyond the State border to faciliate combining the State files into larger
regions.
The user must have a firm understanding of how the datasets were compiled and the
resulting limitations of these data. The National Land Cover Dataset was compiled
from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30
meters and supplemented by various ancillary data (where available). The analysis
and interpretation of the satellite imagery was conducted using very large,
sometimes multi-state image mosaics (i.e. up to 18 Landsat scenes). Using a
relatively small number of aerial photographs for 'ground truth', the thematic
interpretations were necessarily conducted from a spatially-broad perspective.
Furthermore, the accuracy assessments (see below) correspond to 'federal regions'
which are groupings of contiguous States. Thus, the reliability of the data is
greatest at the State or multi-State level. The statistical accuracy of the data
is known only for the region.
Important Caution Advisory
With this in mind, users are cautioned to carefully scrutinize the data to
see if they are of sufficient reliability before attempting to use the
dataset for larger-scale or local analyses. This evaluation must be made
remembering that the NLCD represents conditions in the early 1990s.
The Georgia portion of the NLCD was created as part of land cover
mapping activities for Federal Region IV that includes the States of
South Carolina, Florida, Alabama, Mississippi, North Carolina, Kentucky,
and Tennessee. The NLCD classification contains 21 different land
cover categories with a spatial resolution of 30 meters. The NLCD was
produced as a cooperative effort between the U.S. Geological Survey
(USGS) and the U.S. Environmental Protection Agency (US EPA) to produce
a consistent, land cover data layer for the conterminous U.S. using
early 1990s Landsat thematic mapper (TM) data purchased by the Multi-
resolution Land Characterization (MRLC) Consortium. The MRLC Consortium
is a partnership of federal agencies that produce or use land cover data.
Partners include the USGS (National Mapping, Biological Resources, and
Water Resources Divisions), US EPA, the U.S. Forest Service, and the
National Oceanic and Atmospheric Administration.
Single Fused Map Cache: false
Extent:
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XMax: 1026726.9508520751
YMax: 1.3491265359952495E7
Spatial Reference: PROJCS["NAD_1983_Lambert_Conformal_Conic",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-83.5],PARAMETER["Standard_Parallel_1",31.41666666666667],PARAMETER["Standard_Parallel_2",34.28333333333333],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Foot_US",0.3048006096012192]]
Initial Extent:
XMin: -878174.4157832362
YMin: 1.1559198922675906E7
XMax: 1026726.9508520751
YMax: 1.3491265359952495E7
Spatial Reference: PROJCS["NAD_1983_Lambert_Conformal_Conic",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-83.5],PARAMETER["Standard_Parallel_1",31.41666666666667],PARAMETER["Standard_Parallel_2",34.28333333333333],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Foot_US",0.3048006096012192]]
Full Extent:
XMin: -878174.4157832362
YMin: 1.1559198922675906E7
XMax: 1026726.9508520751
YMax: 1.3491265359952495E7
Spatial Reference: PROJCS["NAD_1983_Lambert_Conformal_Conic",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-83.5],PARAMETER["Standard_Parallel_1",31.41666666666667],PARAMETER["Standard_Parallel_2",34.28333333333333],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Foot_US",0.3048006096012192]]
Pixel Size X: 98.42416899014732
Pixel Size Y: 98.42416899014717
Band Count: 3
Pixel Type: U8
RasterFunction Infos: N/A
Mensuration Capabilities: Basic
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Georgia Department of Transportation
Service Data Type: esriImageServiceDataTypeRGB
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
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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: false
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Key Properties
Legend
MultiDimensionalInfo
rasterFunctionInfos
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Get Samples
Compute Class Statistics