Elevation/DIM_2018_DIGITAL_SURFACE_MODEL

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Service Description: Dense Image Matching (DIM) processing attempts to match pixels from stereo image pairs. This process is also known as Photogrammetric Detection and Ranging (PhoDAR), Structure from Motion (SfM), Semi-Global Matching (SGM). Matching can occur to the extent that the same pixel is visible in one or more Aerial Photographs. Therefore, poorly defined or otherwise obscured features that are not visible in multiple Aerial Photographs cannot be described in the resulting Point Cloud. Point Cloud density will vary due to changes in terrain, vegetation and other geographic and photogrammetric factors. Source data was processed by Quantum Spatial Inc. and is a raw, unclassified Point Cloud with no additional filtering or manual editing to repair any dropouts, spikes or noise. This data may not have been checked for parallax, therefore resulting Point Cloud data may not align from strip to strip. Source AGPGS/IMU and aerotriangulation processes were designed to produce orthophotography with a horizontal accuracy of 4.82feet at 95% confidence. Vertical accuracy of the Digital Terrain Model (DTM) used in the orthorectification process is not part of the source specification. There is no published accuracy specification for this type of dataset. Horizontal accuracy testing appears to meet the orthophotography specification and vertical accuracy testing shows agreement with lidar DSM at +/- 3ft. Additional vertical accuracy testing and results are forthcoming. Raw point cloud data was processed to produce a Digital Surface Model (DSM) using ESRI ArcGIS Pro 2.7.1 by the Oregon Parks and Recreation Department.

Name: Elevation/DIM_2018_DIGITAL_SURFACE_MODEL_HS

Description: Dense Image Matching (DIM) processing attempts to match pixels from stereo image pairs. This process is also known as Photogrammetric Detection and Ranging (PhoDAR), Structure from Motion (SfM), Semi-Global Matching (SGM). Matching can occur to the extent that the same pixel is visible in one or more Aerial Photographs. Therefore, poorly defined or otherwise obscured features that are not visible in multiple Aerial Photographs cannot be described in the resulting Point Cloud. Point Cloud density will vary due to changes in terrain, vegetation and other geographic and photogrammetric factors. Source data was processed by Quantum Spatial Inc. and is a raw, unclassified Point Cloud with no additional filtering or manual editing to repair any dropouts, spikes or noise. This data may not have been checked for parallax, therefore resulting Point Cloud data may not align from strip to strip. Source AGPGS/IMU and aerotriangulation processes were designed to produce orthophotography with a horizontal accuracy of 4.82feet at 95% confidence. Vertical accuracy of the Digital Terrain Model (DTM) used in the orthorectification process is not part of the source specification. There is no published accuracy specification for this type of dataset. Horizontal accuracy testing appears to meet the orthophotography specification and vertical accuracy testing shows agreement with lidar DSM at +/- 3ft. Additional vertical accuracy testing and results are forthcoming. Raw point cloud data was processed to produce a Digital Surface Model (DSM) using ESRI ArcGIS Pro 2.7.1 by the Oregon Parks and Recreation Department.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 2.999999999999952

Pixel Size Y: 2.9999999999999516

Band Count: 1

Pixel Type: F32

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Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Oregon Parks and Recreation Department

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: -7927.31005859375

Max Values: 11167.482421875

Mean Values: 2363.6408900988536

Standard Deviation Values: 1756.243273689457

Object ID Field: OBJECTID

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Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

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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 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 Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Validate Project

Elevation/DIM_2018_DIGITAL_SURFACE_MODEL_HS (ImageServer)