Elevation/DEM_Raw_MNE_Brut (ImageServer)

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View Footprint In: ArcGIS Online Map Viewer

Service Description: A 1m resolution Digital Elevation Model (DEM) of New Brunswick. Derived from 6pt/m2 Bare Earth LiDAR data. Provided in New Brunswick Stereographic Double Projection with CGVD2013 vertical datum. Produced in 2020, from LiDAR data acquired between 2015-2018. Un modèle numérique d’élévation (MNE) du Nouveau-Brunswick offrant une résolution de 1 m. Dérivé des données de surface à nu LIDAR de 6 points par m2. Fourni en projection stéréographique double du Nouveau-Brunswick avec la donnée du canevas altimétrique CGVD2013.

Name: Elevation/DEM_Raw_MNE_Brut

Description: A 1m resolution Digital Elevation Model (DEM) of New Brunswick. Derived from 6pt/m2 Bare Earth LiDAR data. Provided in New Brunswick Stereographic Double Projection with CGVD2013 vertical datum. Produced in 2020, from LiDAR data acquired between 2015-2018. Un modèle numérique d’élévation (MNE) du Nouveau-Brunswick offrant une résolution de 1 m. Dérivé des données de surface à nu LIDAR de 6 points par m2. Fourni en projection stéréographique double du Nouveau-Brunswick avec la donnée du canevas altimétrique CGVD2013.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 1.0

Pixel Size Y: 1.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "None", "description": "A No-Op Function.", "help": "" }, { "name": "Multidirectional Hillshade", "description": "Creates a 3D representation of the surface, with the sun's relative position taken into account for shading the image.", "help": "" }, { "name": "Aspect-Slope", "description": "Creates a raster that simultaneously displays the aspect (direction) and slope (steepness) of a continuous surface, as represented in a digital elevation model.", "help": "" } ]}

Mensuration Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Service New Brunswick / Service Nouveau-Brunswick

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -48.99327850341797

Max Values: 815.1070556640625

Mean Values: 174.03273447080144

Standard Deviation Values: 138.07859415557132

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...6 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,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 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 Key Properties Legend MultiDimensionalInfo rasterFunctionInfos

Supported Operations: Export Image Query Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location