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Geophysics_Gravity_Gradiometry_Individual_Surveys/SWN_AGG_SI (ImageServer)

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Service Description: This dataset represents the Shape Index derived from the gravity tensor of the SWN_NBStereo (Lantern) FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Shape Index calculated from the reconstructed gravity tensor of the SWN_NBStereo survey. The Shape Index quantifies the local curvature and geometry of the gravity field, highlighting shallow structural features such as faults, lithological contacts, and intrusive bodies. This high-resolution dataset is useful for detailed structural interpretation and mineral exploration and is provided as a 25 m grid in NAD83 New Brunswick Stereographic projection.This raster was produced by constructing the gravity tensor from the SWN_NBStereo FTG/AGG profile data processed with a density of 2.8 g/cc, gridding the tensor at 25 m using a tensor-interpolation algorithm, and calculating the Shape Index following the method of Cevallos (2014). The final grid was exported in ER Mapper (.ers) format.Data created Sept 2025.

Name: Geophysics_Gravity_Gradiometry_Individual_Surveys/SWN_AGG_SI

Description: This dataset represents the Shape Index derived from the gravity tensor of the SWN_NBStereo (Lantern) FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Shape Index calculated from the reconstructed gravity tensor of the SWN_NBStereo survey. The Shape Index quantifies the local curvature and geometry of the gravity field, highlighting shallow structural features such as faults, lithological contacts, and intrusive bodies. This high-resolution dataset is useful for detailed structural interpretation and mineral exploration and is provided as a 25 m grid in NAD83 New Brunswick Stereographic projection.This raster was produced by constructing the gravity tensor from the SWN_NBStereo FTG/AGG profile data processed with a density of 2.8 g/cc, gridding the tensor at 25 m using a tensor-interpolation algorithm, and calculating the Shape Index following the method of Cevallos (2014). The final grid was exported in ER Mapper (.ers) format.Data created Sept 2025.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 115.0

Pixel Size Y: 115.0

Band Count: 1

Pixel Type: F32

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: NB Dept of Natural Resources, GSB Section

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -0.9982795715332

Max Values: 0.99954122304916

Mean Values: 0.0013571202117179

Standard Deviation Values: 0.49148165408417

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