2019 USGS Lidar: Oshkosh 3 Rivers (MN,WI)

Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1000 m x 1000 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: 4 counties in Wisconsin: Barron, Dunn, Oconto, Sheboygan and the city of Osh Kosh and Pine County in Minnesota.

Dataset Description: The Oshkosh 3 Rivers 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 Contiguous USA Albers, Meter and vertical datum of NAVD88 GEOID 12b, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to individual 1000 m x 1000 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1000 m x 1000 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2019, 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,

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1.0 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Contract No. G16PC00016, Task Order No. 140G0219F0026; CONTRACTOR: Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "1.98",

"ldrfltht" : "2150",

"ldrfltsp" : "160",

"ldrscana" : "20",

"ldrscanr" : "52",

"ldrpulsr" : "190",

"ldrpulsd" : "2.5",

"ldrpulsw" : "0.47",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1565.0",

"ldrswato" : "60",

"ldrgeoid" : "GEOID 12b",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Riegl 1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "1.98",

"ldrfltht" : "2000",

"ldrfltsp" : "160",

"ldrscana" : "30",

"ldrscanr" : "180",

"ldrpulsr" : "700",

"ldrpulsd" : "3",

"ldrpulsw" : "0.36",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2309.0",

"ldrswato" : "30",

"ldrgeoid" : "GEOID 12b",

"ldrcrs" : "NAD 1983 2011 Contiguous USA Albers, Meter"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "In-land Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Snow (where identifiable)"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Exclusion (if applicable)"

}

}}

Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc, USGS, NOAA, the Office for Coastal Management or its partners.

Data is available online for bulk and custom downloads.

None

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

MicroStation Version 8; TerraScan Version 18; TerraModeler Version 18; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.3; Global Mapper 19; Leica Cloud Pro 1.2.4, RiProcess 1.8.5; Windows 10 Operating System

\\point_cloud\tilecls\*.las

USGS DETERMINED VERTICAL ACCURACY:

NVA is 3.75 cm RMSE

VVA is 16.9 cm at 95th Percentile

The USGS work package report is available from Reports link in URL section.

QUANTUM SPATIAL, INC. DETERMINED VERTICAL ACCURACY:

City of Osh Kosh:

In order to post process LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 4 ground control points that were used to calibrate LiDAR to known ground locations established throughout project area. An additional 4 independent accuracy checkpoints, 2 in Bare Earth and Urban landcovers (2 NVA points), 2 in Tall Weeds categories (2 VVA points), were used to assess vertical accuracy of the data. These checkpoints were not used to calibrate or post process data.

Tested 0.033 meters NVA at a 95% confidence level using 2 independent survey points located in open terrain. Root mean square error vertical (RMSEz) was computed to be 0.017 meters.

Barron and Dunn Counties:

In order to post process LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 37 ground control points that were used to calibrate LiDAR to known ground locations established throughout project area. An additional 70 independent accuracy checkpoints, 38 in Bare Earth and Urban landcovers (38 NVA points), 32 in Tall Weeds categories (32 VVA points), were used to assess vertical accuracy of the data. These checkpoints were not used to calibrate or post process data.

Tested 0.049 meters NVA at a 95% confidence level using 38 independent survey points located in open terrain. Root mean square error vertical (RMSEz) was computed to be 0.025 meters.

Oconto County:

In order to post process LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 28 ground control points that were used to calibrate LiDAR to known ground locations established throughout project area. An additional 55 independent accuracy checkpoints, 30 in Bare Earth and Urban landcovers (30 NVA points), 25 in Tall Weeds categories (25 VVA points), were used to assess vertical accuracy of the data. These checkpoints were not used to calibrate or post process data.

Tested 0.096 meters NVA at a 95% confidence level using 30 independent survey points located in open terrain. Root mean square error vertical (RMSEz) was computed to be 0.049 meters.

Pine County:

In order to post process LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 35 ground control points that were used to calibrate LiDAR to known ground locations established throughout project area. An additional 69 independent accuracy checkpoints, 41 in Bare Earth and Urban landcovers (41 NVA points), 28 in Tall Weeds categories (28 VVA points), were used to assess vertical accuracy of the data. These checkpoints were not used to calibrate or post process data.

Tested 0.069 meters NVA at a 95% confidence level using 41 independent survey points located in open terrain. Root mean square error vertical (RMSEz) was computed to be 0.035 meters.

Sheboygan County:

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 9 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 16 independent accuracy checkpoints, 12 in Bare Earth and Urban landcovers (12 NVA points), 4 in Tall Weeds categories (4 VVA points), were used to assess vertical accuracy of the data. These checkpoints were not used to calibrate or post process data.

Tested 0.0907 meters NVA at a 95% confidence level using 12 independent survey points located in open terrain. Root mean square error vertical (RMSEz) was computed to be 0.0463 meters

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications.

Data cover the entire area specified for this project.

Data is backed up to tape and to cloud storage.

Data was collected by Quantum Spatial, Inc. and provided to the USGS. NOAA OCM downloaded the data from the USGS rockyftp site.