72698 il2014_kankakee_m10121_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2014 2014-10-31 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. 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. 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" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ILLINOIS Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Office for Coastal Management Charleston SC Data Set Elevation None Planned Model (digital) 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. Quantum Spatial, Inc., ILHMP Data Steward 2024 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2024 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2014 Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource Metadata Contact 2024 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2024 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -88.288 -87.512 41.32 40.991 Discrete 2014-04-12 Range 2014-04-17 2014-04-19 No Yes No No No Yes 10296311205 Projected EPSG:3857 WGS 84 / Pseudo-Mercator World Geodetic System 1984 WGS 84 6378137 298.257223563 WGS 84 Popular Visualisation Pseudo-Mercator Popular Visualisation Pseudo Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 0° 0' 0" E False easting 0 metre False northing 0 metre 1 Easting X metre east 2 Northing Y metre north Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Custom Unclassified 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10121/details/10121 2024 Organization NOAA Office for Coastal Management Customized Download 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. Not Applicable Zip https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/LAZ/ 2014 Organization U.S. Geological Survey Bulk Download 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. LAS/LAZ - LASer LAZ https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json USGS Entwine Point Tile (EPT) json 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. https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/IL_5_County_2014_15/IL_5County_KankakeeCo_2014/ USGS Additional Info Online Resource Link to the reports, breaklines, metadata, and spatial metadata. 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 Lidar Report Online Resource pdf Link to the lidar report. 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 USGS 3D View Online Resource Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. ALS Post Processor 2.75 Build#25; GeoCue Version 13.1.45.1; Windows 7 Operating System 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. 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. Data cover the entire area specified for this project. Yes Unknown Yes NCEI-NC Data is backed up to cloud storage. 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. USGS AWS Entwine Point Tile (EPT) Organization USGS Publisher https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_IL_5County_KankakeeCo_2014_LAS_2016/ept.json Entwine Point Tile (EPT) 1 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. 2014-06-24T00:00:00 2 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. 2014-04-19T00:00:00 3 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. 2014-04-19T00:00:00 4 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. 2014-04-19T00:00:00 5 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). Organization U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov USGS Home Home page for USGS Online Resource 6 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 2024-05-28T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:72698 Rebecca Mataosky 2024-05-29T13:48:12 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-05-29 OCM Partners OCMP 1002 Public No No 2024-05-29 1 Year 2025-05-29