ArcGIS REST Services Directory Login | Get Token
JSON | SOAP

elevation/dsm_2015 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

Geographic Extent: Milwaukee, Ozaukee, Walworth, Washington, and Waukesha Counties in southeastern Wisconsin, covering approximately 2,071 square miles. Dataset Description: The SEWRPC 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The primary set of deliverable data was developed based on the following two horizontal projection/datum systems as specified in the contract: NAD27 State Plane Wisconsin South Zone, US survey feet; NGVD29, US survey feet for Milwaukee, Ozaukee, and Walworth Counties NAD83 (2011) State Plane Wisconson South Zone, US survey feet; NAVD88, US survey feet for Washington and Waukesha Counties LiDAR data was delivered in RAW flight line swath format, and processed to create Classified LAS 1.2 Files formatted to individual 10,000-foot x 10,000-foot tiles. Tile counts are listed below: Milwaukee: 89 tiles in NAD27 Ozaukee: 85 tiles Walworth: 192 tiles Washington: 146 tiles in NAD83 (2011) Waukesha: 187 tiles Corresponding hydro-flattened Digital Terrain Model (DTM) files were created in Esri file geodatabase format. 1-foot contours were created from the hydro-flattened digital terrain model data and delivered in Esri file geodatabase format. Additionally, a secondary set of unclassified and classified lidar data was developed for the following counties: Washington County: 154 tiles in NAD27 State Plane Wisconsin South Zone, US survey feet; NGVD29, US survey feet Milwaukee County: 91 tiles in NAD83 State Plane Wisconson South Zone, US survey feet; NAVD88 (2011), US survey feet Ground Conditions: LiDAR collection began in Spring 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 127 QC points that were used to calibrate the LIDAR to known ground locations established throughout the project area.



Name: elevation/dsm_2015

Description:

Geographic Extent: Milwaukee, Ozaukee, Walworth, Washington, and Waukesha Counties in southeastern Wisconsin, covering approximately 2,071 square miles. Dataset Description: The SEWRPC 2015 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The primary set of deliverable data was developed based on the following two horizontal projection/datum systems as specified in the contract: NAD27 State Plane Wisconsin South Zone, US survey feet; NGVD29, US survey feet for Milwaukee, Ozaukee, and Walworth Counties NAD83 (2011) State Plane Wisconson South Zone, US survey feet; NAVD88, US survey feet for Washington and Waukesha Counties LiDAR data was delivered in RAW flight line swath format, and processed to create Classified LAS 1.2 Files formatted to individual 10,000-foot x 10,000-foot tiles. Tile counts are listed below: Milwaukee: 89 tiles in NAD27 Ozaukee: 85 tiles Walworth: 192 tiles Washington: 146 tiles in NAD83 (2011) Waukesha: 187 tiles Corresponding hydro-flattened Digital Terrain Model (DTM) files were created in Esri file geodatabase format. 1-foot contours were created from the hydro-flattened digital terrain model data and delivered in Esri file geodatabase format. Additionally, a secondary set of unclassified and classified lidar data was developed for the following counties: Washington County: 154 tiles in NAD27 State Plane Wisconsin South Zone, US survey feet; NGVD29, US survey feet Milwaukee County: 91 tiles in NAD83 State Plane Wisconson South Zone, US survey feet; NAVD88 (2011), US survey feet Ground Conditions: LiDAR collection began in Spring 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 127 QC points that were used to calibrate the LIDAR to known ground locations established throughout the project area.



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 5.0

Pixel Size Y: 5.0

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Milwaukee County Land Information Office

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 457.9533386230469

Max Values: 1498.4700927734375

Mean Values: 710.4550614719816

Standard Deviation Values: 62.20143967461876

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 Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: false

Supports Advanced Queries: false

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   Statistics   Key Properties   Legend   Raster Function Infos

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