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Short Citation:
OCM Partners, 2024: 2014 ILHMP Lidar: Kankakee County, IL, https://www.fisheries.noaa.gov/inport/item/72698.

Item Identification

Title: 2014 ILHMP Lidar: Kankakee County, IL
Short Name: il2014_kankakee_m10121_metadata
Status: Completed
Creation Date: 2014
Publication Date: 2014-10-31
Abstract:

This dataset is 1 ppsm LiDAR point cloud data and derivative models of Kankakee County, Illinois. Kankakee County is approximately 677 square miles (1753 square kilometers) in north eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.7 meter.

Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.0 and Federal Emergency Management Agency Procedure Memorandum 61.

This dataset consists of LiDAR LAS swath files and tiled LAS files. Tiled LAS files contain LiDAR point information which has been calibrated, controlled, and classified. Tiled LAS and derived data models are named according to the coordinates at the south west corner of the tile.

Quantum Spatial Project No: 1140310.01

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Purpose:

LiDAR data collection is used to produce high accuracy surface models of Kankakee County, Illinois in accordance with project requirements.

The LiDAR point cloud data is used to create surface models as requested; classified LiDAR LAS files, Hydro-flattened bare-earth Digital Elevation Models (DEM), shapefiles of breaklines representative of surface hydro features and a ESRI geodatabase of all deliverables.

Supplemental Information:

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specification v1",

"ldrsens" : "Leica ALS70 Serial Number 7161",

"ldrmaxnr" : "4 returns per pulse",

"ldrnps" : "0.64 meters",

"ldrdens" : "2.44 points per meters squared",

"ldrfltht" : "1900 meters",

"ldrfltsp" : "150 knots",

"ldrscana" : "40.0 degrees",

"ldrscanr" : "40.9 Hz",

"ldrpulsr" : "273600 Hz",

"ldrpulsd" : "4 nanoseconds",

"ldrpulsw" : "0.5 meters, 1/3^2",

"ldrwavel" : "1064 nanometers",

"ldrmpia" : "1 [enabled]",

"ldrbmdiv" : "0.15 milliradians",

"ldrswatw" : "1455.88 meters",

"ldrswato" : "17.25%",

"ldrcrs" : "NAD_1983_2011_StatePlane_Illinois_East_FIPS_1201_Ft_US",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A"

},

"ldraccur" : {

"ldrchacc" : "1.00 feet",

"rawfva" : "0.338 feet",

"clscva" : "0.455 feet",

"clssvas" : {

"svalctyp" : "Open Terrain survey points compared to DEM. 95th percentile",

"svavalue" : "0.168 feet"

},

"clssvas" : {

"svalctyp" : "Urban survey points compared to DEM. 95th percentile",

"svavalue" : "0.181 feet"

},

"clssvas" : {

"svalctyp" : "Tall Grass survey points compared to DEM. 95th percentile",

"svavalue" : "0.433 feet"

},

"clssvas" : {

"svalctyp" : "Brush survey points compared to DEM. 95th percentile",

"svavalue" : "0.589 feet"

},

"clssvas" : {

"svalctyp" : "Forest survey points compared to DEM. 95th percentile",

"svavalue" : "0.352 feet"

}

},

"lasinfo" : {

"lasver" : "1.2",

"lasprf" : "1",

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

",

"lasolap" : "There are not Overlap class points in this data.

",

"lasintr" : "8-bit",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth"

},

"lasclass" : {

"clascode" : "3",

"clasitem" : "Low Vegetation"

},

"lasclass" : {

"clascode" : "4",

"clasitem" : "Medium Vegetation"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High Vegetation"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Buildings"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "All noise"

},

"lasclass" : {

"clascode" : "8",

"clasitem" : "Model Keypoints"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored ground"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation

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

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:

In no event shall the creators, custodians, or distributors of these data be liable for any damages arising out of its use, or from the inability of the customer to use these data for their intended application.

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

Data Set Credit: Quantum Spatial, Inc., ILHMP

Support Roles

Data Steward

CC ID: 1335215
Date Effective From: 2024
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: 1335214
Date Effective From: 2024
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: 1335236
Date Effective From: 2014
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1335216
Date Effective From: 2024
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: 1335217
Date Effective From: 2024
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: 1335220
W° Bound: -88.288
E° Bound: -87.512
N° Bound: 41.32
S° Bound: 40.991

Extent Group 1 / Time Frame 1

CC ID: 1335219
Time Frame Type: Range
Start: 2014-04-17
End: 2014-04-19

Extent Group 1 / Time Frame 2

CC ID: 1335237
Time Frame Type: Discrete
Start: 2014-04-12

Spatial Information

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 1335209
Point Object Present?: Yes
Point Object Count: 10296311205

Reference Systems

Reference System 1

CC ID: 1335238

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1343099

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
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: 1335221
Start Date: 2024-05-29
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10121/details/10121
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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. Change to an orthometric vertical datum is one of the many options.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1335222
Start Date: 2014
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/LAZ/
Distributor: U.S. Geological Survey (2014 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, IL State Plane East NAD83(2011), US survey feet coordinates and in NAVD88 (Geoid12A) elevations in feet.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1335212
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: 1335240
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json
Name: USGS Entwine Point Tile (EPT)
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 3

CC ID: 1335241
URL: https://usgs.entwine.io/data/view.html?r=https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json
Name: USGS 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.

URL 4

CC ID: 1335242
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/reports/2014_Kankakee_County_1ppsm_LiDAR_Report.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 5

CC ID: 1335243
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

Technical Environment

Description:

ALS Post Processor 2.75 Build#25; GeoCue Version 13.1.45.1; Windows 7 Operating System

Data Quality

Vertical Positional Accuracy:

Project specifications require that vertical accuracy, as RMSE, of LiDAR data be less than 9.25 cm in open terrain. Vertical accuracy is determined by comparison of elevation of the ground survey points to DEMs derived from the LiDAR points. Differences are calculated to establish a RMSE.

The FVA is determined using ground survey points collected in "Open Terrain" compared to elevation values of a DEM derived from the final LiDAR points classified as bare earth. Differences in elevations are calculated to determine a RSME. The RMSE value is multiplied by 1.96 to establish the FVA.

The vertical accuracy is 0.172 feet (5.26 cm) RMSE calculated by comparison of open terrain survey points to DEM elevations. FVA tested 0.338 feet (10.30 cm) vertical accuracy at 95-percent confidence level. The vertical accuracy meets the requirement of RMSE less than 9.25 cm and of a FVA less than 18.13 cm.

Completeness Report:

These data files include all data points collected.

No points have been removed or excluded.

The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.

Conceptual Consistency:

Data cover 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-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container.

Sources

USGS AWS Entwine Point Tile (EPT)

CC ID: 1335246
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json
Citation URL Name: Entwine Point Tile (EPT)

Process Steps

Process Step 1

CC ID: 1335204
Description:

Ground based survey points are collected to be compared as check points with airborne data points. Measurements are recorded by Quantum Spatial for use in establishment of the LiDAR point set to ground elevations (indexing). Additional ground survey points are made in representative ground cover categories to provide for vertical accuracy assessment of LiDAR data or derivative models.

Process Date/Time: 2014-06-24 00:00:00

Process Step 2

CC ID: 1335205
Description:

Airborne LiDAR collection survey is conducted using fixed wing aircraft equipped with a LiDAR scanning system following specifications of the flight plan. Acquisition flights are planned to assure full coverage of the project area in consideration of local surface terrains. Flight plan is accessed by the aircraft navigation system to achieve predetermined flight specifications. The LiDAR sensor is calibrated prior to each mission. GPS and IMU data are collected during LiDAR acquisition to aid in LiDAR swath calibration.

Process Date/Time: 2014-04-19 00:00:00

Process Step 3

CC ID: 1335206
Description:

Airborne GPS and IMU data are merged to develop a Single Best Estimate Trajectory for each swath. LiDAR data are calibrated using previous best parameters for this instrument and aircraft. Relative calibration is evaluated using plane-matching analysis and parameter corrections are derived. This is repeated iteratively until residual errors between overlapping swaths, across all project lifts, is reduced to acceptable levels. Data are block adjusted to surveyed control points.

Raw FVA is checked using surveyed ground checkpoints. The raw points are applied to a 2500 x 2500 foot grid. The unclassified points are output and named as per a client supplied 2500 foot grid tile.

Process Date/Time: 2014-04-19 00:00:00

Process Step 4

CC ID: 1335207
Description:

Points in the calibrated swaths are classified using analysis routines and proprietary software. The routines analyze information on all points to establish appropriate Class designations.

Classified LiDAR is inspected on a per tile basis for local classification, manual editing, and peer-based QC checks. The bare earth surface is manually reviewed to ensure correct classification of Class 2 (Ground) points. After the bare-earth surface is finalized, it is used to guide hydro-breaklines generation through heads-up digitization.

All overlap data is processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data is classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes are created through automated processes only and are not verified for classification accuracy. Due to software limitations within TerraScan, these classes are used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS.

All data was manually reviewed and any remaining artifacts removed using controls and tools in TerraScan and TerraModeler. Global Mapper is used as a final check of the bare earth dataset. GeoCue creates the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth.

All classification tags are stored in the original swath files.

Classifications follow ASPRS guidelines: Non-ground (Class 1), Ground (Class 2), Low Vegetation (Class 3). Medium Vegetation (Class 4), High Vegetation (Class 5), Buildings (Class 6), Noise/Low Points (Class 7), Model Keypoints (Class 8), Water (Class 9), Ignored Ground/Breakline proximity (Class 10)

After completion of classification and final QC approval, the FVA, SVAs, and CVA for the project are calculated. Vertical accuracy is determined by comparison of elevation of the ground survey check points to elevations of DEMs derived from the LiDAR Ground points. Differences are calculated to establish a RSME, FVA, CVA and SVA.

Process Date/Time: 2014-04-19 00:00:00

Process Step 5

CC ID: 1335244
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 GEOID12A).

Process Contact: U.S. Geological Survey

Process Step 6

CC ID: 1335245
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) that was ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

This is the AWS URL being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json

Process Date/Time: 2024-05-28 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 72698
GUID: gov.noaa.nmfs.inport:72698
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-05-29 13:48+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-07-31 17:41+0000
Metadata Record Published: 2024-05-29
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-05-29
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-05-29