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Short Citation:
OCM Partners, 2023: 2017 USGS Lidar: Northeast IL 4 County (Cook, Kane, Lake, McHenry), https://www.fisheries.noaa.gov/inport/item/59012.

Item Identification

Title: 2017 USGS Lidar: Northeast IL 4 County (Cook, Kane, Lake, McHenry)
Short Name: il2017_4county_m9050_metadata
Status: Completed
Creation Date: 2017
Publication Date: Unknown
Abstract:

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 14,829 individual 2500 ft x 2500 ft tiles; used to create Reflectance Images, 3D breaklines and hydro-flattened DEMs as necessary.

Geographic Extent: Cook, Kane, Lake, and McHenry counties, Illinois

Dataset Description: The WI Kenosha-Racine Counties and IL 4 County QL1 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a derived nominal pulse spacing (NPS) of 1 point every 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 14,829 individual 2500 ft x 2500 ft tiles, as tiled Reflectance Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.

Ground Conditions: Lidar was collected April-May 2017, 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, Ayers established a total of 66 ground control points that were used to calibrate the lidar to known ground locations established throughout the WI Kenosha-Racine Counties and IL 4 County QL1 project area. An additional 195 independent accuracy checkpoints, 116 in Bare Earth and Urban landcovers (116 NVA points), 79 in Tall Grass and Brushland/Low Trees categories (79 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The datasets downloaded were:

USGS_LPC_IL_4County_Cook_2017_LAS_2019/ Number of files: 5527

USGS_LPC_IL_4County_Kane_2018_LAS_2019/ Number of files: 3644

USGS_LPC_IL_4County_Lake_2016_LAS_2019/ Number of files: 2117

USGS_LPC_IL_4County_McHenry_2018_LAS_2019/ Number of files: 3541

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 14,829.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

Purpose:

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 Reflectance Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These lidar point cloud data were used to create Reflectance Images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

USGS Contract No. G16PC00020 CONTRACTOR: Dewberry SUBCONTRACTOR: Harris Corporation Lidar data were acquired and calibrated by Harris Coporation. All follow-on processing was completed by the prime contractor.

ldrspec>U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.2</ldrspec>

<ldrsens>Harris GmAPD Mapping LiDAR Sensor</ldrsens>

<ldrmaxnr>1 per detector (4096 detectors</ldrmaxnr>

<ldrnps>0.5</ldrnps>

<ldrdens>4</ldrdens>

<ldranps>0.35</ldranps>

<ldradens>8</ldradens>

<ldrfltht>7620</ldrfltht>

<ldrfltsp>240</ldrfltsp>

<ldrscana>15</ldrscana>

<ldrscanr>17.7</ldrscanr>

<ldrpulsr>50</ldrpulsr>

<ldrpulsd>0.46</ldrpulsd>

<ldrpulsw>0.138</ldrpulsw>

<ldrwavel>1064</ldrwavel>

<ldrmpia>1</ldrmpia>

<ldrbmdiv>0.05</ldrbmdiv>

<ldrswatw>3810</ldrswatw>

<ldrswato>55</ldrswato>

<ldrgeoid>National Geodetic Survey (NGS) Geoid12B</ldrgeoid>

</ldrinfo>

-<ldraccur>

<ldrchacc>0.939</ldrchacc>

<rawnva>0.101</rawnva>

<rawnvan>114</rawnvan>

<clsnva>0.101</clsnva>

<clsnvan>116</clsnvan>

<clsvva>0.102</clsvva>

<clsvvan>79</clsvvan>

</ldraccur>

-<lasinfo>

<lasver>1.4</lasver>

<lasprf>6</lasprf>

<laswheld>The Withheld bit was not used as it is not applicable to a Geiger-mode sensor.</laswheld>

<lasolap>The Overlap bit was not used as it is not applicable to a Geiger-mode sensor.</lasolap>

<lasintr>16</lasintr>

-<lasclass>

<clascode>1</clascode>

<clasitem>Processed, but Unclassified</clasitem>

</lasclass>

-<lasclass>

<clascode>2</clascode>

<clasitem>Bare Earth Ground</clasitem>

</lasclass>

-<lasclass>

<clascode>3</clascode>

<clasitem>Low Vegetation</clasitem>

</lasclass>

-<lasclass>

<clascode>4</clascode>

<clasitem>Medium Vegetation</clasitem>

</lasclass>

-<lasclass>

<clascode>5</clascode>

<clasitem>High Vegetation</clasitem>

</lasclass>

-<lasclass>

<clascode>6</clascode>

<clasitem>Buildings</clasitem>

</lasclass>

-<lasclass>

<clascode>7</clascode>

<clasitem>Low Noise</clasitem>

</lasclass>

-<lasclass>

<clascode>9</clascode>

<clasitem>Water</clasitem>

</lasclass>

-<lasclass>

<clascode>10</clascode>

<clasitem>Ignored Ground</clasitem>

</lasclass>

-<lasclass>

<clascode>17</clascode>

<clasitem>Bridge Decks</clasitem>

</lasclass>

-<lasclass>

<clascode>18</clascode>

<clasitem>High Noise</clasitem>

</lasclass>

</lasinfo>

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None Calibration Points
None erosion
None Hydrology
None Intensity Image

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None 2017
None April
None May

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ILLINOIS
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Continent > North America > United States Of America > Illinois > Cook County
None Continent > North America > United States Of America > Illinois > Kane County
None Continent > North America > United States Of America > Illinois > Lake County
None Continent > North America > United States Of America > Illinois > McHenry County

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Dewberry, Harris Corporation, Ayers Associates, USGS, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.

Support Roles

Data Steward

CC ID: 899830
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 899831
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 899832
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 899833
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1144238
W° Bound: -88.83915
E° Bound: -87.481199
N° Bound: 42.610243
S° Bound: 41.434472

Extent Group 1 / Time Frame 1

CC ID: 1144237
Time Frame Type: Range
Start: 2017-04-16
End: 2017-05-07

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1144235

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and custom downloads.

Data Access Constraints:

None

Data Use Constraints:

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.

Distribution Information

Distribution 1

CC ID: 899834
Start Date: 2019-10-11
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9050
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type: Zip
Compression: Zip

Distribution 2

CC ID: 899835
Start Date: 2019-10-11
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document.

File Type: LAZ
Compression: Zip

URLs

URL 1

CC ID: 899836
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 2

CC ID: 899837
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/il2017_4county_m9050.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 899839
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/breaklines/
URL Type:
Online Resource
Description:

Link to the breaklines.

URL 4

CC ID: 899851
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/CP_Survey_Report.pdf
Name: Checkpoint Survey Report
URL Type:
Online Resource
Description:

Link to the Checkpoint Survey Report

URL 5

CC ID: 899852
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/G16PD00498_Northeast_Illinois_Project_Report_20190719.pdf
Name: Project Report
URL Type:
Online Resource
Description:

Link to the Project Report.

URL 6

CC ID: 899853
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/GCP_Survey_Report.pdf
Name: Ground Control Point Report
URL Type:
Online Resource
Description:

Link to the Ground Control Survey Report.

Data Quality

Horizontal Positional Accuracy:

Fifty-four checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called ACCURACYr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448.

This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Actual positional accuracy of this dataset was found to be RMSEx = 41 cm (1.34 ft) and RMSEy = 35.6 cm (1.17 ft) which equates to +/- 93.9 cm (3.08 ft) at 95% confidence level.

Vertical Positional Accuracy:

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 (0.64 ft) at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm (0.33 ft) in the “bare earth” and "urban" land cover classes. The NVA was tested with 114 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 (0.64 ft) 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.

Tested 0.101 meters (0.33 ft) 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 114 independent checkpoints located in Bare Earth and Urban land cover classes.

Completeness Report:

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 data passes Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data covers the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

Download of LAZ files from USGS rockyftp site

CC ID: 1144231
Contact Role Type: Originator
Contact Type: Organization
Contact Name: USGS
Source Contribution:

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The datasets downloaded were:

USGS_LPC_IL_4County_Cook_2017_LAS_2019/ Number of files: 5527

USGS_LPC_IL_4County_Kane_2018_LAS_2019/ Number of files: 3644

USGS_LPC_IL_4County_Lake_2016_LAS_2019/ Number of files: 2117

USGS_LPC_IL_4County_McHenry_2018_LAS_2019/ Number of files: 3541

The total number of files downloaded and processed was 14,829.

Process Steps

Process Step 1

CC ID: 1144232
Description:

The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used F.L.W. Mapping, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.4, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.

Process Date/Time: 2017-05-07 00:00:00

Process Step 2

CC ID: 1144233
Description:

LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 m was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. F.L.W. Mapping, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2018-05-15 00:00:00

Process Step 3

CC ID: 1144234
Description:

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The datasets downloaded were:

USGS_LPC_IL_4County_Cook_2017_LAS_2019/ Number of files: 5527

USGS_LPC_IL_4County_Kane_2018_LAS_2019/ Number of files: 3644

USGS_LPC_IL_4County_Lake_2016_LAS_2019/ Number of files: 2117

USGS_LPC_IL_4County_McHenry_2018_LAS_2019/ Number of files: 3541

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 14,829.

The data were in IL State Plane East (NAD83 2011), US Survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 3 - Low Vegetation, 4 - Medium Vegetation, 5 - High Vegetation, 6 - Buildings, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 4, 5, 6, 7, 9, 10, 17, 18.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from IL State Plane East (NAD83 2011), US survey feet coordinates to geographic coordinates, to convert from elevations in feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2020-03-10 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 59012
GUID: gov.noaa.nmfs.inport:59012
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2020-03-10 13:41+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-08-15 17:09+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16