gov.noaa.nmfs.inport:56575 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 2024-02-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) NAD83(2011) / UTM zone 17N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6346/export/?format=gmlurn:ogc:def:crs:EPSG:63466.18.3 2015 FEMA Lidar: Region 2 NY Great Lakes Area ny2015_region2_m8764_metadata 2015-12 publication NOAA/NMFS/EDM 56575 https://www.fisheries.noaa.gov/inport/item/56575 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/geoid18/8764/supplemental/LiDAR_Project_Report_USGS_NY_Great_Lakes_Full_Project_20151201.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8764/index.html WWW:LINK-1.0-http--link Citation URL Link to the hydro breaklines. download Aerial Cartographics of America (ACA) collected 2233 square miles in the New York counties of Chautauqua, Orleans, Wayne, Cayuga, Jefferson, Oswego and St. Lawrence. The nominal pulse spacing for this project was no greater than 0.7 meters. Dewberry used proprietary procedures to classify the LAS into an initial ground surface. Dewberry then used proprietary procedures to classify the LAS and performed manual classifications according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 10-Ignored Ground due to breakline proximity, 11- Witheld. The LiDAR data were processed to a bare-earth digital terrain model (DTM). Detailed breaklines and bare-earth Digital Elevation Models (DEMs) were produced for the project area. Deliverables were produced in NAD83 (2011) UTM Zone 18, meters and NAVD88 (geoid 12a), meters. The data was formatted according to the USNG Tile naming convention with each tile covering an area of 1,500 meters by 1,500 meters. The NOAA Office for Coastal Management (OCM) downloaded: 2344 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_GreatLakes_Phase2_L3_2014_LAS_2017/ 218 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_FEMA_R2L1_ChautauquaCo_2014_LAS_2017/ 507 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_FEMA_R2L2_OrleansCo_2014_LAS_2017/ (Two files from this source were later determined to be corrupt and were removed from the the NOAA OCM Data Access Viewer (DAV) database and the bulk download AWS S3 site. Valid files were downloaded from the Discover GIS Data NY site (https://orthos.dhses.ny.gov/) and processed to provide a complete dataset). and processed the data to the Data Access Viewer (DAV) and https. OCM noted that along the Chautauqua and Orleans County shoreline, there are points that fall in Lake Erie and Lake Ontario that are classified as ground. 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. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines, 1 meter cell size hydro flattened Digital Elevation Models (DEMs) and 1 foot contours. All products follow and comply with USGS Program Lidar Base Specification Version 1.0. U.S. Geological Survey The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-02-26 at https://coast.noaa.gov/dataviewer. 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 asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8764/supplemental/ny2015_great_lakes_m8764.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 17.0 VERTICAL LOCATION > LAND SURFACE Continent > North America > United States Of America > NY place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 Contours beach erosion theme Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-02-26 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2015 FEMA Lidar: Region 2 NY Great Lakes Area [Data Date Range], https://www.fisheries.noaa.gov/inport/item/56575. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-02-26 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-02-26 from the NOAA system. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-02-26 from the NOAA system. Distribution Liability: This data was produced for the U.S. Geological Survey according to specific project requirements. This information is provided "as is". Further documentation of this data can be obtained by contacting: USGS, 1400 Independence Road, Rolla, MO 65401. Telephone (573) 308-3756 Any conclusions drawn from the analysis of this information are not the responsibility of USGS, FEMA, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 56575 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/56575.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference eng; US elevation Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 10.1 -79.769207 -75.24983 42.224863 44.836563 Chautauqua and Orleans Counties | Currentness: Ground Condition 2014-03-05 2014-03-24 Wayne, Cayuga, Oswego, Jefferson, and St. Lawrence Counties. | Currentness: Ground Condition 2014-10-27 2015-05-03 Reflight to cover gaps in Jefferson and St. Lawrence Counties. | Currentness: Ground Condition 2015-10-27 A complete description of this dataset is available in the Final Project Report submitted to the USGS. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS-NGP Lidar Base Specification V1.0", "ldrsens" : "Riegl 680i/Riegl 780i", "ldrmaxnr" : "7", "ldrnps" : "0.38", "ldrdens" : "7.00", "ldranps" : "0.38", "ldradens" : "7.00", "ldrfltht" : "853", "ldrfltsp" : "100", "ldrscana" : "60", "ldrscanr" : "92", "ldrpulsr" : "260", "ldrpulsd" : "3", "ldrpulsw" : "0.351", "ldrwavel" : "1550", "ldrmpia" : "1", "ldrbmdiv" : "0.5", "ldrswatw" : "985.7", "ldrswato" : "55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A" }, "ldraccur" : { "ldrchacc" : "0.1813", "rawnva" : "0.169", "rawnvan" : "23", "clsnva" : "0.169", "clsnvan" : "23", "clsvva" : "0.227", "clsvvan" : "106" }, "lasinfo" : { "lasver" : "1.2", "lasprf" : "1", "laswheld" : "Withheld points are classified to class 11 per project specifications", "lasolap" : "Swath overage points were not identified in these files using the standard LAS overlap bit", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth, ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored ground due to breakline proximity" }, "lasclass" : { "clascode" : "11", "clasitem" : "Withheld points +/- 20 degree scan angle" } }} false eng false none 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=8764 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/geoid18/8764/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 Lidar source produced to meet 1 meter horizontal accuracy. Project specifications required a horizontal accuracy of 1 m based on a RMSEr (0.578m) x 1.7308. Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the LiDAR. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the LiDAR. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the LiDAR cannot always be tested. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 meter horizontal accuracy standard at the 95% confidence level. However, Dewberry tested the horizontal accuracy of the LiDAR by comparing photo-identifiable survey checkpoints to the LiDAR Intensity Imagery. As only eleven (11) checkpoints were photo-identifiable, the results are not statistically significant enough to report as a final tested value but the results of this testing are shown below. Using NSSDA methodology, horizontal accuracy at the 95% confidence level (called Accuracyr) is computed by the formula RMSEr x 1.7308. The dataset for the New York Great Lakes LiDAR project satisfies the criteria: Lidar dataset tested 0.843 m horizontal accuracy at 95% confidence level, based on RMSEr (0.487 m) x 1.7308. Vertical Positional Accuracy The final vertical accuracy has been calculated for the full project area covering all counties using all surveyed checkpoints. The final vertical accuracy of the LiDAR was tested by Dewberry with 106 independent survey checkpoints. The survey checkpoints were evenly distributed throughout the project area and were located in areas of bare earth and open terrain (23), grass weeds and crops (21), brush and low trees (21), forested and fully grown (20), and urban (21). The vertical accuracy of the LiDAR was tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the LiDAR points. Checkpoints are always compared to interpolated surfaces created from the LiDAR point cloud because it is unlikely that a survey checkpoint will be located at the location of a discrete LiDAR point. Checkpoints in open terrain were used to compute the Fundamental Vertical Accuracy (FVA). Project specifications required a FVA of 0.181 m based on a RMSEz (0.0925m) x 1.9600. All checkpoints were used to compute the Consolidated Vertical Accuracy (CVA). Project specifications required a CVA of 0.269 m based on the 95th percentile. Supplemental Vertical Accuracy (SVA) was computed on each individual land cover category other than open terrain. Target specifications for SVA are 0.269 m based on the 95th percentile. NDEP and ASPRS testing methodologies allow individual SVA's to fail as long as the mandatory CVA passes project specifications. FVA Based on the vertical accuracy testing conducted by Dewberry, using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset satisfies the criteria: tested 0.169 m vertical accuracy at 95% confidence level in open terrain, based on RMSEz (0.086 m) x 1.9600. CVA Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, consolidated vertical accuracy (CVA) is computed using the 95th percentile method. The dataset satisfies the criteria: tested 0.227 m consolidated vertical accuracy at 95th percentile in all land cover categories combined. The 5% outliers consist of 6 checkpoints that are larger than the 95th percentile. These checkpoints have DZ values ranging between +0.230 m to +0.388 m. SVA (Forested, Fully Grown) Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, supplemental vertical accuracy (SVA) is computed using the 95th percentile method. The dataset satisfies the criteria: tested 0.224 m m supplemental vertical accuracy at 95th percentile in the forested and fully grown land cover category. SVA (Urban) Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, supplemental vertical accuracy (SVA) is computed using the 95th percentile method. The dataset satisfies the criteria: tested 0.121 m supplemental vertical accuracy at 95th percentile in the urban land cover category. SVA (Grass, Weeds, Crops) Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, supplemental vertical accuracy (SVA) is computed using the 95th percentile method. The dataset satisfies the criteria: tested 0.328 m supplemental vertical accuracy at 95th percentile in the grass, weeds, and crops land cover category. SVA (Brush, Trees) Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, supplemental vertical accuracy (SVA) is computed using the 95th percentile method. The dataset satisfies the criteria: tested 0.290 m supplemental vertical accuracy at 95th percentile in the brush land and trees land cover category. Completeness Report A visual qualitative assessment was performed to ensure data completeness and bare earth data cleanliness. The data passes vertical accuracy specifications. One tile in the final delivered tile grid did not have an associated LAS file. Tile 18TVP8580980 is located in an area that the acquistion provider was unable to collect due to restricted airspace limitations. All gaps due to restricted air space are documented in the project report and a shapefile showing the locations of these gaps is provided with the data deliverables. Conceptual Consistency Data covers the tile scheme provided for the project area. The laz files for this dataset were downloaded mainly from the USGS rockyweb site: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FEMA_Region_2_NY_Great_Lakes_Area_QL2_LiDAR/. Two files from this source in the Orleans County part of the dataset were determined to be corrupt. Those files were deleted from the NOAA OCM Data Access Viewer (DAV) database and the bulk download AWS S3 site. Valid versions of the two corrupt files were downloaded from the Discover GIS Data NY site (https://orthos.dhses.ny.gov/) and processed to provide a complete dataset for custom and bulk downloads. Data for the New York Great Lakes LiDAR project was acquired by Aerial Cartographics of America, Inc. using a CESSNA TU206G aircraft. The project area included approximately 2233 contiguous square miles for New York. LiDAR sensor data was collected with the RIEGL LMS-Q680i LiDAR system and RIEGL LMS-Q780i LiDAR system. No imagery was requested or delivered. The calibrated data was processed to NAD83(2011) UTM 18, meters, NAVD88 (Geoid12A), meters. Deliverables for the project included a raw (unclassified) calibrated LiDAR point cloud, survey control, and a final control report. A preliminary RMSEz error check is performed at this stage of the project life cycle in the raw LiDAR dataset against GPS static and kinematic data and compared to RMSEz project specifications. The LiDAR data is examined in open, flat areas away from breaks. Lidar ground points for each flightline generated by an automatic classification routine are used. Overall the LiDAR data products collected by ACA meet or exceed the requirements set out in the Statement of Work. The quality control requirements of ACAs quality management program were adhered to throughout the acquisition stage fo this project to ensure product quality. LIDAR acquisition began on May 5, 2014 (julian day 125) and was completed on October 27, 2015 (julian day 300). A total of 28 survey missions were flown to complete the project. ACA utilized a CESSNA TU206G for the acquisition. The flight plan was flown as planned with no modifications. There were no unusual occurrences during the acquisition and the sensor performed within specifications. There were 455 flight lines required to complete the project. The initial step of calibration is to verify availability and status of all needed GPS and Laser data against field notes and compile any data if not complete. Subsequently the mission points are output, initially with default values from Riegl or the last mission calibrated for system. The initial point generation for each mission calibration is verified within Microstation/Terrascan for calibration errors. If a calibration error greater than specification is observed within the mission, the roll pitch and scanner scale corrections that need to be applied are calculated. The missions with the new calibration values are regenerated and validated internally once again to ensure quality. All missions are validated against the adjoining missions for relative vertical biases and collected GPS validation points for absolute vertical accuracy purposes. On a project level, a supplementary coverage check is carried out to ensure no data voids unreported by Field Operations are present. The initial points for each mission calibration are inspected for flight line errors, flight line overlap, slivers or gaps in the data, point data minimums, or issues with the LiDAR unit or GPS. Roll, pitch and scanner scale are optimized during the calibration process until the relative accuracy is met. Relative accuracy and internal quality are checked using at least 3 regularly spaced QC blocks in which points from all lines are loaded and inspected. Vertical differences between ground surfaces of each line are displayed. Color scale is adjusted so that errors greater than the specifications are flagged. Cross sections are visually inspected across each block to validate point to point, flightline to flightline and mission to mission agreement. For this project the specifications used are as follow: Relative accuracy <= 7cm RMSEZ within individual swaths and <=10 cm RMSEZ or within swath overlap (between adjacent swaths). UTM coordinate system, meters, zone 18, horizontal datum NAD83 (2011), vertical datum NAVD88, Geoid 12A Dewberry utilizes a variety of software suites for inventory management, classification, and data processing. All LiDAR related processes begin by importing the data into the GeoCue task management software. The swath data is tiled according to project specifications (1,500 m x 1,500 m). The tiled data is then opened in Terrascan where Dewberry uses proprietary ground classification routines to remove any non-ground points and generate an accurate ground surface. The ground routine consists of three main parameters (building size, iteration angle, and iteration distance); by adjusting these parameters and running several iterations of this routine an initial ground surface is developed. The building size parameter sets a roaming window size. Each tile is loaded with neighboring points from adjacent tiles and the routine classifies the data section by section based on this roaming window size. The second most important parameter is the maximum terrain angle, which sets the highest allowed terrain angle within the model. Once the ground routine has been completed a manual quality control routine is done using hillshades, cross-sections, and profiles within the Terrasolid software suite. After this QC step, a peer review and supervisor manual inspection is completed on a percentage of the classified tiles based on the project size and variability of the terrain. After the ground classification corrections were completed, the dataset was processed through a water classification routine that utilizes breaklines compiled by Dewberry to automatically classify hydrographic features. The water classification routine selects ground points within the breakline polygons and automatically classifies them as class 9, water. During this water classification routine, points that are within 0.3 meter of the hydrographic features are moved to class 10, an ignored ground due to breakline proximity. In addition to classes 1, 2, 9, and 10, there is a Class 7, noise points and Class 11, withheld . Class 7 was only used if needed when points could manually be identified as low/high points and class 11 points are points that contain a scan angle greater than 20 degrees. The fully classified dataset is then processed through Dewberry's comprehensive quality control program. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 7= Noise Class 9 = Water Class 10=Ignored Class 11= Withheld The LAS header information was verified to contain the following: Class (Integer) GPS Week Time (0.0001 seconds) Easting (0.003 m) Northing (0.003 m) Elevation (0.003 m) Echo Number (Integer 1 to 4) Echo (Integer 1 to 4) Intensity (8 bit integer) Flight Line (Integer) Scan Angle (Integer degree) 2015-12-01T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded: 2344 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_GreatLakes_Phase2_L3_2014_LAS_2017/ 218 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_FEMA_R2L1_ChautauquaCo_2014_LAS_2017/ 507 laz files from ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_NY_FEMA_R2L2_OrleansCo_2014_LAS_2017/ The data were in UTM Zone 18 North (NAD83 2011) coordinates and NAVD88 (Geoid12A) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 11 - Withheld (Points with scan angles exceeding +/- 20 degrees). OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 10, 11. OCM noted that along the Chautauqua and Orleans County shoreline, there are points that fall in Lake Erie and Lake Ontario that are classified as ground. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors. 2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to convert from UTM Zone 18 North (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. 2019-06-04T00:00:00 Office for Coastal Management processor In September of 2023, two of the laz files in the Orleans County portion of this dataset were determined to be corrupt. The files were corrupt from the source, which was the USGS rockyweb site. USGS was notified of the issue. The two corrupt files were deleted from the NOAA OCM Data Access Viewer (DAV) database and the AWS S3 bulk download site. The two corrupt files were: 17TQH390810 and 17TQH555870. Valid replacement versions of the two corrupt files were downloaded from the Discover GIS Data NY lidar download site at: https://orthos.dhses.ny.gov The data were in UTM Zone 18 North (NAD83 2011) coordinates and NAVD88 (Geoid12A) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 11 - Withheld (Points with scan angles exceeding +/- 20 degrees). OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 10, 11. OCM noted that along the Orleans County shoreline, there are points that fall in Lake Ontario that are classified as ground. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors. 2. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12A model, to convert from UTM Zone 18 North (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to AWS S3. 2023-09-28T00:00:00 Office for Coastal Management processor Discover GIS Data NY NYS GIS Clearinghouse https://orthos.dhses.ny.gov/ WWW:LINK-1.0-http--link NYS GIS Clearinghouse Download Two files were downloaded from this site. They are: 17TQH390810 and 17TQH555870 information publisher USGS Rockyweb LAZ Download USGS https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FEMA_Region_2_NY_Great_Lakes_Area_QL2_LiDAR/ WWW:LINK-1.0-http--link USGS Rockyweb Download Source Citation URL information publisher The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-02-26NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor