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Service Description: This dataset represents the Txy component of the gravity tensor derived from the SWN_NBStereo (Lantern) FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Txy tensor component extracted from the reconstructed gravity tensor of the SWN_NBStereo survey. Txy represents the mixed second derivative of the gravity field with respect to the X and Y directions, capturing lateral density variations and structural boundaries. This component is useful for mapping faults, lithological contacts, intrusive bodies, and other subsurface structures, supporting high-resolution structural interpretation and mineral exploration. The dataset is delivered as a 25 m grid in NAD83 New Brunswick Stereographic projection.This raster was produced by processing the SWN_NBStereo FTG/AGG profile data using a density of 2.8 g/cc, reconstructing the full gravity tensor from the measured components, interpolating the tensor to a 25 m grid using a tensor-interpolation algorithm, and extracting the Txy component. The final grid was exported in ER Mapper (.ers) format.Data created Sept 2025.
Name: Geophysics_Gravity_Gradiometry_Individual_Surveys/SWN_AGG_Txy
Description: This dataset represents the Txy component of the gravity tensor derived from the SWN_NBStereo (Lantern) FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Txy tensor component extracted from the reconstructed gravity tensor of the SWN_NBStereo survey. Txy represents the mixed second derivative of the gravity field with respect to the X and Y directions, capturing lateral density variations and structural boundaries. This component is useful for mapping faults, lithological contacts, intrusive bodies, and other subsurface structures, supporting high-resolution structural interpretation and mineral exploration. The dataset is delivered as a 25 m grid in NAD83 New Brunswick Stereographic projection.This raster was produced by processing the SWN_NBStereo FTG/AGG profile data using a density of 2.8 g/cc, reconstructing the full gravity tensor from the measured components, interpolating the tensor to a 25 m grid using a tensor-interpolation algorithm, and extracting the Txy component. The final grid was exported in ER Mapper (.ers) format.Data created Sept 2025.
Single Fused Map Cache: false
Extent:
XMin: 2433602.5
YMin: 7378582.5
XMax: 2665327.5
YMax: 7556717.5
Spatial Reference: 2036
(2953)
Initial Extent:
XMin: 2433602.5
YMin: 7378582.5
XMax: 2665327.5
YMax: 7556717.5
Spatial Reference: 2036
(2953)
Full Extent:
XMin: 2433602.5
YMin: 7378582.5
XMax: 2665327.5
YMax: 7556717.5
Spatial Reference: 2036
(2953)
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: -38.545307159424
Max Values: 79.261573791504
Mean Values: 0.0099955721209269
Standard Deviation Values: 5.5210502347127
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:
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
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