Imagery2005 (ImageServer)

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Service Description: This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2005 agricultural growing season (April - October) during leaf-on conditions statewide in Texas. The entire dataset is available at 2-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as larger roadways, individual houses, and cropland patterns. The entire dataset is available as a 3-band (RGB) product which allows the user to display the imagery in natural color (RGB) only. Flight date is in most filenames as MMDDYYYY, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. This NAIP imagery product is also available as 3-band (RGB) natural color compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone. NAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. NAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development. Note: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery.

Name: Imagery2005

Description: This orthoimagery dataset was acquired by the National Agriculture Imagery Program (NAIP) during the 2005 agricultural growing season (April - October) during leaf-on conditions statewide in Texas. The entire dataset is available at 2-meter pixel resolution. This pixel resolution allows the user to identify features on the ground such as larger roadways, individual houses, and cropland patterns. The entire dataset is available as a 3-band (RGB) product which allows the user to display the imagery in natural color (RGB) only. Flight date is in most filenames as MMDDYYYY, and each image tile covers one 4th of a USGS Digital Orthophoto Quad (DOQ) resulting in a DOQQ or approximately 16 square miles with minimum 300-meter buffers. This NAIP imagery product is also available as 3-band (RGB) natural color compressed county mosaics (CCMs). CCMs are generated by compressing the DOQQ image tiles into a single mosaic per county. All individual tile images and the resulting mosaic are rectified in the UTM coordinate system, NAD 83, and cast into a single predetermined UTM zone. NAIP is administered by the USDA's Farm Service Agency (FSA) through the Aerial Photography Field Office (APFO) in Salt Lake City. The program was established to support FSA's strategic goals centered on agricultural production. The orthoimagery are used as a base layer for GIS programs in FSA's County Service Centers including maintenance of the Common Land Unit (CLU) boundaries. However, there are many other potential uses and applications of NAIP data as a statewide base layer of imagery in Texas. NAIP imagery are used for a wide variety of purposes throughout the state including land use planning, natural resource assessment, energy production, transportation, emergency management, ecology, air quality monitoring, etc. NAIP acquisitions in Texas are contracted based on available funding and the FSA imagery acquisition cycle. Since 2008, NAIP statewide imagery have been acquired for Texas on a 2-year cycle. This refresh rate allows the user to conduct change detection studies that can be used to monitor climate patterns such as drought or to show the rate of manmade growth on the fringes of urban development. Note: Aerial orthoimagery flown during leaf-on conditions can hinder the ability of the data user to identify manmade features through the deciduous tree canopy. Further, the distinction between evergreen and deciduous vegetation is very difficult using leaf-on imagery.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 6.561666666666666

Pixel Size Y: 6.56166666666667

Band Count: 3

Pixel Type: U8

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

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: United States Department of Agriculture (USDA). Texas NAIP Imagery, 2005-10-17. Web. 2021-05-11.

Service Data Type: esriImageServiceDataTypeRGB

Min Values: 0.29503105590062106, 0.29503105590062106, 0.47709923664122134

Max Values: 254.70496894409936, 254.70496894409936, 254.52290076335876

Mean Values: 136.15700483091786, 144.46066252587988, 138.79092451229855

Standard Deviation Values: 104.68512706332507, 111.03143115589067, 106.44902139521864

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

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 Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Query Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query GPS Info Find Images Image to Map Map to Image Measure from Image Image to Map Multiray Query Boundary Compute Pixel Location Compute Angles Validate Project