2018 USGS Lidar: Calumet, Clark, Fond du Lac, Green Lake, Price, and Waupaca, WI

This is a multi-county lidar project in Wisconsin and may be referred to as the 2018 USGS Wisconsin Statewide collection. Coverages by county are: Calumet County = 336 square miles; Clark County = 1228 square miles; Fond Du Lac County = 780 square miles; Green Lake County = 386 square miles; Price County = 1288 square miles; and Waupaca County = 773 square miles.

The lidar data was acquired at a nominal point spacing (NPS) of 0.7 meters and a single swath nominal point density (NPD) of 2.0. Project specifications are based on county requirements and on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.2. The data were developed based on a county specific projections and vertical datum of NAVD88 - Geoid12B (Feet). Lidar data were acquired using the Leica ALS80 SN8227 Sensor. Acquisition occurred with leaves absent from deciduous trees, when no snow was present on the ground, and with rivers at or below normal levels.

The original data were transformed to Entwine Point Tile format in Web Mercator projection. The Digital Coast Data Access Viewer is referrencing this data for custom processing and this metadata was created to support the Data Access Viewer.

This data, along with its derivatives, is the result of a countywide elevation mapping with cooperative partnerships from CalumetCounty, Wisconsin DOA, and the USGS 3DEP program. This data was produced from lidar data collected in May 2018, which was processed and delivered in 2019.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "- National Geospatial Program (NGP) Lidar Base Specification v1.2",

"ldrsens" : "ALS80_SN8227",

"ldrmaxnr" : "4",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "2.0",

"ldrfltht" : "2000",

"ldrfltsp" : "150",

"ldrscana" : "36",

"ldrscanr" : "50",

"ldrpulsr" : "300",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1020",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1457",

"ldrswato" : "30",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Lidar Specification v1.2",

"ldrsens" : "Leica ALS80_SN8227",

"ldrmaxnr" : "4",

"ldrnps" : "0.71",

"ldrdens" : "2.0",

"ldranps" : "0.71",

"ldradens" : "2.0",

"ldrfltht" : "2000",

"ldrfltsp" : "150",

"ldrscana" : "36",

"ldrscanr" : "50",

"ldrpulsr" : "300",

"ldrpulsd" : "4",

"ldrpulsw" : "0.48",

"ldrwavel" : "1020",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1457",

"ldrswato" : "30",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"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" : "11",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare Earth Ground"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High Vegetation"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Buildings"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Deck"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

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

Calumet County

Clark County

Fond du Lac County

Green Lake County

Price County

Waupaca County

Data is available online for bulk or 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.

Terrasolid

The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and "urban" land cover classes. The NVA was tested with 29 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.Quantitative value: 0.07 m, Test that produced the value:

Calumet County: Tested 0.059 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 29 independent checkpoints located in Bare Earth and Urban land cover classes.

Clark County: Tested 0.065 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 65 independent checkpoints located in Bare Earth and Urban land cover classes.

Fond Du Lac County County: Tested 0.079 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 61 independent checkpoints located in Bare Earth and Urban land cover classes.

Green Lake County: Tested 0.066 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 33 independent checkpoints located in Bare Earth and Urban land cover classes.

Price County: Tested 0.079 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 68 independent checkpoints located in Bare Earth and Urban land cover classes.

Waupaca County: Tested 0.087 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 60 independent checkpoints located in Bare Earth and Urban land cover classes.

Weighted average of counties = 0.07 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 complete and data passes Vertical Accuracy specifications.

Data covers the entire area specified for this project.

Data is backed up to cloud storage.