gov.noaa.nmfs.inport:59012 eng UTF8 dataset Elevation OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6319 2017 USGS Lidar: Northeast IL 4 County (Cook, Kane, Lake, McHenry) il2017_4county_m9050_metadata 2017 creation publication NOAA/NMFS/EDM 59012 https://www.fisheries.noaa.gov/inport/item/59012 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/CP_Survey_Report.pdf WWW:LINK-1.0-http--link Checkpoint Survey Report Link to the Checkpoint Survey Report download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/GCP_Survey_Report.pdf WWW:LINK-1.0-http--link Ground Control Point Report Link to the Ground Control Survey Report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/G16PD00498_Northeast_Illinois_Project_Report_20190719.pdf WWW:LINK-1.0-http--link Project Report Link to the Project Report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/breaklines/ WWW:LINK-1.0-http--link Citation URL Link to the breaklines. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) 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. download 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. 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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/supplemental/il2017_4county_m9050.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ILLINOIS VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Calibration Points Hydrology Intensity Image beach erosion theme 2017 April May temporal Continent > North America > United States Of America > Illinois > Cook County Continent > North America > United States Of America > Illinois > Kane County Continent > North America > United States Of America > Illinois > Lake County Continent > North America > United States Of America > Illinois > McHenry County place Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 USGS Lidar: Northeast IL 4 County (Cook, Kane, Lake, McHenry) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/59012. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions 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. otherRestrictions 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. unclassified vector eng; US elevation -88.83915 -87.481199 41.434472 42.610243 | Currentness: Ground Condition 2017-04-16 2017-05-07 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> Zip Zip LAS/LAZ - LASer Zip NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9050 WWW:LINK-1.0-http--link 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. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9050/index.html WWW:LINK-1.0-http--link Bulk Download 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. download dataset 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. 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. 2017-05-07T00:00:00 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. 2018-05-15T00:00:00 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. 2020-03-10T00:00:00 Office for Coastal Management processor 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. Download of LAZ files from USGS rockyftp site USGS originator