ELEVATION/ELEVATION_MACQUARIE_BARWON_1M_DEM_2014

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

View Footprint In: ArcGIS Online Map Viewer

Service Description: The Macquarie Barwon LiDAR survey provides elevation and photographic data over approximately 17,326 km along the Macquarie and Barwon Rivers, north-west of Dubbo NSW. The LiDAR was captured between November 2013 and May 2014, at a nominal density of two outgoing laser pulses per square metre. Photography was captured simultaneously and provided as an ortho-rectified mosaic with a resolution of 20cm. The LiDAR was delivered in a full waveform format that retains a higher level of precision and significantly more above ground information than traditional LiDAR. A set of seamless products, including hydro-flattened bare earth terrain surfaces (DEMs), were produced to the ICSM specification. Other derived surfaces include a Digital Surface Model (DSM), Canopy Height Model (CHM) and Foliage Canopy Model (FCM). The outputs of the project are compliant with National ICSM LiDAR Product Specifications and the NEDF. NEDF MetadataAcquisition Start Date: Saturday, 2 November 2013Acquisition End Date: Thursday, 8 May 2014Sensor: LiDARDevice Name: Trimble Harrier 68iFlying Height (AGL): 1020INS/IMU Used: H68: POSAV 410 ? IMU14Number of Runs: 1692Number of Cross Runs: 150Swath Width: 742Flight Direction: UNKSwath (side) Overlap: 10Horizontal Datum: GDA94Vertical Datum: AHD71 ? using local Geoid modelMap Projection: MGA55Description of Aerotriangulation Process Used: UNKDescription of Rectification Process Used: UNKSpatial Accuracy Horizontal: 0.8Spatial Accuracy Vertical: 0.3Average Point Spacing (per/sqm): 2.39Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity)Data Thinning: UNKLaser Footprint Size: 0.51Calibration certification (Manufacturer/Cert. Company): Trimble H68_017 and H68_038Limitations of the Data: The DEM accuracy will be limited by the spatial accuracy of the LiDAR point data and will contain some additional error due to interpolation, particularly in areas of dense vegetation where ground points are sparse. There may also be some minor error due to ground point misclassification.Surface Type: DEMProduct Type: GRIDClassification Type: C2Grid Resolution: 1Distribution Format: ESRI GRIDProcessing/Derivation Lineage: A DEM with a ground pixel spacing of one metre was generated from the LiDAR ground points. The method of deriving the height for each grid point is by triangulation between the three nearest LiDAR ground points. Hydro flattening was applied using waterlines (break lines) that were manually digitised using the LiDAR and ortho-photography as reference for all visible water in any part of a connected river network or recognised waterway (regardless of size) and all other waterbodies greater than 625 m2. The DEM was exported to ESRI Binary grid as 1km by 1km tiles.

Name: ELEVATION/ELEVATION_MACQUARIE_BARWON_1M_DEM_2014_SFA701

Description: The Macquarie Barwon LiDAR survey provides elevation and photographic data over approximately 17,326 km along the Macquarie and Barwon Rivers, north-west of Dubbo NSW. The LiDAR was captured between November 2013 and May 2014, at a nominal density of two outgoing laser pulses per square metre. Photography was captured simultaneously and provided as an ortho-rectified mosaic with a resolution of 20cm. The LiDAR was delivered in a full waveform format that retains a higher level of precision and significantly more above ground information than traditional LiDAR. A set of seamless products, including hydro-flattened bare earth terrain surfaces (DEMs), were produced to the ICSM specification. Other derived surfaces include a Digital Surface Model (DSM), Canopy Height Model (CHM) and Foliage Canopy Model (FCM). The outputs of the project are compliant with National ICSM LiDAR Product Specifications and the NEDF. NEDF MetadataAcquisition Start Date: Saturday, 2 November 2013Acquisition End Date: Thursday, 8 May 2014Sensor: LiDARDevice Name: Trimble Harrier 68iFlying Height (AGL): 1020INS/IMU Used: H68: POSAV 410 ? IMU14Number of Runs: 1692Number of Cross Runs: 150Swath Width: 742Flight Direction: UNKSwath (side) Overlap: 10Horizontal Datum: GDA94Vertical Datum: AHD71 ? using local Geoid modelMap Projection: MGA55Description of Aerotriangulation Process Used: UNKDescription of Rectification Process Used: UNKSpatial Accuracy Horizontal: 0.8Spatial Accuracy Vertical: 0.3Average Point Spacing (per/sqm): 2.39Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity)Data Thinning: UNKLaser Footprint Size: 0.51Calibration certification (Manufacturer/Cert. Company): Trimble H68_017 and H68_038Limitations of the Data: The DEM accuracy will be limited by the spatial accuracy of the LiDAR point data and will contain some additional error due to interpolation, particularly in areas of dense vegetation where ground points are sparse. There may also be some minor error due to ground point misclassification.Surface Type: DEMProduct Type: GRIDClassification Type: C2Grid Resolution: 1Distribution Format: ESRI GRIDProcessing/Derivation Lineage: A DEM with a ground pixel spacing of one metre was generated from the LiDAR ground points. The method of deriving the height for each grid point is by triangulation between the three nearest LiDAR ground points. Hydro flattening was applied using waterlines (break lines) that were manually digitised using the LiDAR and ortho-photography as reference for all visible water in any part of a connected river network or recognised waterway (regardless of size) and all other waterbodies greater than 625 m2. The DEM was exported to ESRI Binary grid as 1km by 1km tiles.

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": "" }]}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Murray Darling Basin Authority (MDBA) GA

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 108.375

Max Values: 257.94000244140625

Mean Values: 154.03652047764766

Standard Deviation Values: 34.43078847488533

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: 10000

Default Resampling Method: Nearest

Max Record Count: 1000

Max Image Height: 15000

Max Image Width: 15000

Max Download Image Count: 100

Max Mosaic Image Count: 50

Allow Raster Function: true

Allow Copy: null

Allow Analysis: null

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 Raster Function Infos

Supported Operations: Export Image Query Identify Download Rasters Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Validate Project

ELEVATION/ELEVATION_MACQUARIE_BARWON_1M_DEM_2014_SFA701 (ImageServer)