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Imagery/AerialImage_SouthWest_2007_CIR (ImageServer)

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Service Description: One-meter pixel resolution. In 2008, the Bureau of Reclamation’s Remote Sensing and Geographic Information Group (RSGIG) in collaboration with the Bureau of Land Management Miles City Field Office mapped sagebrush and other land cover in a study area in and around the Cedar Creek Anticline within the Williston Basin. The study area fell within portions of NW South Dakota, SW North Dakota and SE Montana representing approximately 1,132,000 acres. The project utilized the recently developed methodology of combining high resolution multi-band color infrared digital imagery along with object oriented image processing for the identification and mapping of sagebrush over a large area in a cost effective manner. The objective of the project was to cost effectively collect and analyze imagery to determine the extent of sagebrush vegetation communities at a level of detail to assess vegetation community relationships. The costs incurred by using the methodology represented in this project to map 10 land classes have been estimated at $.40 to $.80 per-acre compared to the $2.00 to $3.00 per-acre using traditional methodologies.

Name: Imagery/AerialImage_SouthWest_2007_CIR

Description: One-meter pixel resolution. In 2008, the Bureau of Reclamation’s Remote Sensing and Geographic Information Group (RSGIG) in collaboration with the Bureau of Land Management Miles City Field Office mapped sagebrush and other land cover in a study area in and around the Cedar Creek Anticline within the Williston Basin. The study area fell within portions of NW South Dakota, SW North Dakota and SE Montana representing approximately 1,132,000 acres. The project utilized the recently developed methodology of combining high resolution multi-band color infrared digital imagery along with object oriented image processing for the identification and mapping of sagebrush over a large area in a cost effective manner. The objective of the project was to cost effectively collect and analyze imagery to determine the extent of sagebrush vegetation communities at a level of detail to assess vegetation community relationships. The costs incurred by using the methodology represented in this project to map 10 land classes have been estimated at $.40 to $.80 per-acre compared to the $2.00 to $3.00 per-acre using traditional methodologies.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.8999999999999995

Pixel Size Y: 0.9000000000000017

Band Count: 3

Pixel Type: U8

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

Mensuration Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Bureau of Reclamation, Bureau of Land Management, ND GIS Hub

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0

Max Values: 249, 255, 255

Mean Values: 103.47432655037449, 104.01445357194056, 99.23197259406926

Standard Deviation Values: 67.5380692469537, 68.52763647150094, 65.51047170623877

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Center

Allowed Mosaic Methods: Center,NorthWest,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   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project