View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
View Footprint In:
ArcGIS Online Map Viewer
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:
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: -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:
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