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Service Description: This dataset represents the Tz component of the gravity tensor derived from the Bell BMC2010 FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Tz tensor component extracted from the reconstructed gravity tensor of the Bell BMC2010 FTG/AGG survey. Tz represents the first vertical derivative of the gravity field and is highly sensitive to vertical density contrasts, making it particularly useful for detecting shallow intrusive bodies, faults, lithological contacts, and other subsurface structures with significant vertical variation. The dataset is provided as a 25 m grid in NAD83 New Brunswick Stereographic projection and supports detailed structural interpretation and mineral exploration.This raster was created by processing the original FTG profile data using a density of 2.8 g/cc, reconstructing the full gravity tensor from the measured components, gridding the tensor using a tensor-interpolation algorithm at 25 m resolution, and extracting the Tz component from the final tensor grid. It is delivered as an ER Mapper (.ers) raster.Data created Sept 2025.
Name: Geophysics_Gravity_Gradiometry_Individual_Surveys/Bell_BMC_Tz
Description: This dataset represents the Tz component of the gravity tensor derived from the Bell BMC2010 FTG/AGG survey, gridded at 25 m resolution in NAD83 NB Stereographic projection.The dataset contains the Tz tensor component extracted from the reconstructed gravity tensor of the Bell BMC2010 FTG/AGG survey. Tz represents the first vertical derivative of the gravity field and is highly sensitive to vertical density contrasts, making it particularly useful for detecting shallow intrusive bodies, faults, lithological contacts, and other subsurface structures with significant vertical variation. The dataset is provided as a 25 m grid in NAD83 New Brunswick Stereographic projection and supports detailed structural interpretation and mineral exploration.This raster was created by processing the original FTG profile data using a density of 2.8 g/cc, reconstructing the full gravity tensor from the measured components, gridding the tensor using a tensor-interpolation algorithm at 25 m resolution, and extracting the Tz component from the final tensor grid. It is delivered as an ER Mapper (.ers) raster.Data created Sept 2025.
Single Fused Map Cache: false
Extent:
XMin: 2493087.5
YMin: 7563237.5
XMax: 2562387.5
YMax: 7627912.5
Spatial Reference: 2036
(2953)
Initial Extent:
XMin: 2493087.5
YMin: 7563237.5
XMax: 2562387.5
YMax: 7627912.5
Spatial Reference: 2036
(2953)
Full Extent:
XMin: 2493087.5
YMin: 7563237.5
XMax: 2562387.5
YMax: 7627912.5
Spatial Reference: 2036
(2953)
Pixel Size X: 25.0
Pixel Size Y: 25.0
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: -17.990875244141
Max Values: 29.831993103027
Mean Values: -0.034417372106993
Standard Deviation Values: 7.8670412189583
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