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Service Description: Extracted from the Block 1 metadata: These are Digital Elevation Model (DEM) data for Missouri as part of the required deliverables for the West Central Missouri 2018 QL2, Work Unit 197880 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened Raster DEM. Geographic Extent: 10 counties in Missouri, covering approximately 1643 total square miles. Dataset Description: The West Central Missouri 2018 QL2, Work Unit 197880 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 15N, Meter and vertical datum of NAVD88 GEOID12B, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1985 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in winter 2019 and winter 2020, 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 and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 190 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 285 independent accuracy checkpoints, 166 in Bare Earth and Urban landcovers (166 NVA points), 119 in Tall Weeds categories (119 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
Complete metadata available here: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/MO_WestCentral_2018_D19/
Name: MO_WestCentral_2018_D19_UTM
Description: Extracted from the Block 1 metadata: These are Digital Elevation Model (DEM) data for Missouri as part of the required deliverables for the West Central Missouri 2018 QL2, Work Unit 197880 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened Raster DEM. Geographic Extent: 10 counties in Missouri, covering approximately 1643 total square miles. Dataset Description: The West Central Missouri 2018 QL2, Work Unit 197880 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 15N, Meter and vertical datum of NAVD88 GEOID12B, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1985 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in winter 2019 and winter 2020, 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 and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 190 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 285 independent accuracy checkpoints, 166 in Bare Earth and Urban landcovers (166 NVA points), 119 in Tall Weeds categories (119 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
Complete metadata available here: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/MO_WestCentral_2018_D19/
Single Fused Map Cache: false
Extent:
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YMin: 3979420.0002968577
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Spatial Reference: 26915
(26915)
LatestVCSWkid(0)
Initial Extent:
XMin: 349993.9999735402
YMin: 3979420.0002968577
XMax: 819970.9999735374
YMax: 4400006.000296855
Spatial Reference: 26915
(26915)
LatestVCSWkid(0)
Full Extent:
XMin: 349993.9999735402
YMin: 3979420.0002968577
XMax: 819970.9999735374
YMax: 4400006.000296855
Spatial Reference: 26915
(26915)
LatestVCSWkid(0)
Pixel Size X: 0.999999999999994
Pixel Size Y: 0.9999999999999944
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
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Mensuration Capabilities: None
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
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Max Scale: 0
Resampling: false
Copyright Text:
Service Data Type: esriImageServiceDataTypeGeneric
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Max Values: 349.8958740234375
Mean Values: 210.1625593030369
Standard Deviation Values: 56.33063201531396
Object ID Field: OBJECTID
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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 Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: true
Supports Advanced Queries: true
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
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Download Rasters
Get Image Url
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query GPS Info
Find Images
Image to Map
Map to Image
Measure from Image
Image to Map Multiray
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project