70152 pa2015_erie_watershed_m9846_metadata Data Set Published / External 49401 Lidar - partner (no harvest) Project Completed 2015 2017 Lake Erie Watershed 2015 Ortho/LiDAR/Hydro Project To better understand one of the state's most vital natural resources and accurately plan for the future, the Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. This task is for a high resolution data set of lidar covering approximately 512 square miles of the Lake Erie Shoreline, PA. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, 2.5' pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, 8-bit intensity images, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded las point data files from the PASDA (Pennsylvania Spatial Data Access) site. The data were processed to the NOAA Digital Coast Data Access Viewer (DAV) to make the data available for bulk and custom downloads. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. The Lake Erie Watershed has a goal to develop and/or update certain geospatial datasets for use by state, county, city agencies and the general public. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USGS NGP Base Specifications v1", "ldrsens" : "Leica ALS70", "ldrmaxnr" : "4", "ldrdens" : "2", "ldranps" : "0.7", "ldradens" : "2", "ldrnps" : "0.7", "ldrfltht" : "6500", "ldrfltsp" : "150", "ldrscana" : "40", "ldrscanr" : "41", "ldrpulsr" : "272", "ldrpulsd" : "5", "ldrpulsw" : "5", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "4732", "ldrswato" : "25", "ldrcrs" : "NAD 83 (HARN) Pennsylvania State Plane North", "ldrgeoid" : "GEOID09" }, "ldraccur" : { "ldrchacc" : "1.182 ", "rawnva" : "0.593 ", "rawnvan" : "24", "clsnva" : "0.593 ", "clsvva" : "0.616 " }, "lasinfo" : { "lasver" : "1.2", "lasprf" : "6", "laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise.", "lasolap" : "Swath overlap points were identified in these files by adding 16 to the standard classification values yielding overlap default and overlap ground.", "lasintr" : "8", "lasclass" : { "clascode" : "1", "clasitem" : "Default/unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Ground" }, "lasclass" : { "clascode" : "3", "clasitem" : "Low vegetation" }, "lasclass" : { "clascode" : "4", "clasitem" : "Medium vegetation" }, "lasclass" : { "clascode" : "5", "clasitem" : "High vegetation" }, "lasclass" : { "clascode" : "6", "clasitem" : "Building" }, "lasclass" : { "clascode" : "7", "clasitem" : "Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored ground" }, "lasclass" : { "clascode" : "13", "clasitem" : "Bridge deck" }, "lasclass" : { "clascode" : "17", "clasitem" : "Overlap default" }, "lasclass" : { "clascode" : "18", "clasitem" : "Overlap ground" } }} Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > PENNSYLVANIA 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 As Needed Model (digital) The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Pennsylvania Sea Grant Data Steward 2023 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 2023 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 Metadata Contact 2023 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 2023 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 -80.552193 -79.73936 42.27633 41.649693 Discrete 2015-04-29 Discrete 2015-05-01 Discrete 2015-05-07 No Yes No No No Geographic 2D EPSG:6318 NAD83(2011) NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 1 Geodetic Lattitude Lat degree north 2 Geodetic Longitude Lon degree east 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=9846/details/9846 2023 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. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9846/index.html 2023 Organization NOAA Office for Coastal Management 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. They will be in an orthometric datum. LAZ LAS/LAZ - LASer Zip https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9846/supplemental/pa_erie_wtrshd_m9846.kmz Browse graphic Browse Graphic KML This graphic displays the footprint for this lidar data set. 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://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9847/details/9847 Custom DEM Download Online Resource Zip Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set. https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/9846/ept.json Potree 3D View Online Resource Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/9846/ept.json Entwine Point Tile (EPT) Online Resource 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9846/breaklines/index.html Hydro Breaklines Online Resource Zip Link to the hydro breaklines. https://pawalter.psu.edu/sites/default/files/resources/2015_Lake%20Erie%20Watershed_LiDAR_Report.pdf Woolpert Lidar Report Online Resource pdf Link to the Woolpert lidar report. Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 15.01; TerraModeler ver. 15.01; Geocue 2014.1.21; LP360 2014.1. Compiled to meet 1.182 U.S. survey feet (or 36 cm) horizontal accuracy at 95 percent confidence level. Lidar system specifications are available in the project report. LAS data covering the Erie, PA Lidar Project was compared to independent survey control points to determine the NVA of the LAS Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent points from representative vegetation categories. Raw LAS Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.593 U.S. survey feet (or 18 cm) non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, using 0.303 U.S. survey feet (or 9.2 cm) (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare-Earth DEM Non-Vegetated Vertical Accuracy (NVA) Tested 0.586 U.S. survey feet (or 17.9 cm) non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.299 U.S. survey feet (or 9.1 cm) (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. The lidar data is visually inspected for completeness to ensure that are no void areas or missing data. All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery. Yes Unknown Yes NCEI-CO Data is backed up to tape and to cloud storage. The Pennsylvania Department of Environmental Protection (PADEP), through grant funding provided to the Pennsylvania Sea Grant (PASG) College Program, partnered with Woolpert to acquire imagery and lidar data for the entire Pennsylvania Lake Erie Watershed and all 77 miles of shoreline. Data were collected and processed by Woolpert and were made available on the PASDA (Pennsylvania Spatial Data Access) site. The data were downloaded from PASDA by the NOAA Office for Coastal Management (OCM), where the data were processed to make it available for custom download from the NOAA Digital Coast Data Access Viewer (DAV) and for bulk download from AWS S3. PASDA (Pennsylvania Spatial Data Access) Organization PASDA Publisher https://www.pasda.psu.edu/download/seagrant/2015/LiDAR/las/ Link to the lidar data on the PASDA site. 1 Using a Leica ALS70 (lidar) systems on board Woolpert aircraft , high density data, at a nominal pulse spacing (NPS) of 0.7 meters, were collected for this task order (approximately 512 square miles). Leica Specs- AGL = 6,500 ft - Aircraft Speed = 150 Knots, Field of View (Full) = 40 degrees, Pulse Rate = 272 kHz, Scan Rate = 41 Hz, with an average side lap of 25 %. Multiple returns were recorded for each laser pulse along with an intensity value for each return. Three (3) missions were flown between April 29, 2015 and May 7, 2015. One (1) Global Navigation Satellite System (GNSS) Base Station was used in support of the lidar data acquisition. Specific information regarding latitude, longitude, and ellipsoid height to the L1 phase center is included in the lidar processing report. The geoid used to reduce satellite derived elevations to orthometric heights was GEOID09. Data for the task order is referenced to the to NAD 83 (2007) Pennsylvania State Plane North, NAVD88, US Survey Feet. Once the data acquisition and GPS processing phases are complete, the lidar data was processed immediately to verify the coverage had no voids. The GPS and IMU data was post processed using differential and Kalman filter algorithms to derive a best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The SBET was used to reduce the lidar slant range measurements to a raw reflective surface for each flight line. The coverage was classified to extract a bare earth digital elevation model (DEM) and separate last returns. The ALS70 calibration and system performance is verified on a periodic basis using Woolpert's calibration range. The calibration range consists of a large building and runway. The edges of the building and control points along the runway have been located using conventional survey methods. Inertial measurement unit (IMU) misalignment angles and horizontal accuracy are calculated by comparing the position of the building edges between opposing flight lines. The scanner scale factor and vertical accuracy is calculated through comparison of lidar data against control points along the runway. Field calibration is performed on all flight lines to refine the IMU misalignment angles. IMU misalignment angles are calculated from the relative displacement of features within the overlap region of adjacent (and opposing) flight lines. The raw lidar data is reduced using the refined misalignment angles. 2015-04-29T00:00:00 2 For this survey, Woolpert field crews utilized two (2) Woolpert-owned, Trimble Navigation R8 Model 3 series dual frequency GPS receivers, and one (1) Woolpert-owned, Trimble Navigation R8 Model 2 series dual frequency GPS receiver. The field crew utilized Real-Time Kinematic (RTK) GPS surveying throughout the ground control data collection process. Using RTK GPS techniques, observations were performed on LiDAR quality control points. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode, with each observation lasting 180 seconds. Each station was occupied twice to ensure the necessary horizontal and vertical accuracies were being met for this project. 2015-06-15T00:00:00 3 The individual flight lines were inspected to ensure the systematic and residual errors have been identified and removed. Then, the flight lines were compared to adjacent flight lines for any mismatches to obtain a homogenous coverage throughout the project area. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default points (Class 1), Ground points (Class 2), Low vegetation (Class 3), Medium vegetation (Class 4), High vegetation (Class 5), Building (Class 6), Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge deck (Class 13), Overlap Default (Class 17), Overlap Ground (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The surveyed ground control points are used to make vertical adjustments to the data set and to perform the accuracy checks and statistical analysis of the lidar dataset. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.2 format, 2.5 ft pixel size DEM files in ERDAS IMG format and Hydrologic Breakline data in ESRI shape file format. The method used to create the DEM consisted of isolating the ground (class 2) points and introducing 3-d breakline data derived from delineating hydrologic features and applying USGS v1.0 hydro flattening specification z-values. This combined dataset was then processed into a gridded format for additional QAQC to ensure DEM quality. Following QAQC process completion, a gridded raster file was created on a per tile basis. The task order projection information was applied to the final raster dataset. Prior to delivery, all raster files were visually reviewed to ensure coverage and reviewed using automated processes to ensure proper formatting. 2015-04-29T00:00:00 4 The compilation procedure included use of lidar intensity, bare earth surface model, point cloud data, and open source imagery in an effort to manually compile hydrologic features in a 2-d environment. Following the compilation phase, a separate process was used to adjust the breakline data to best match the water level at the time of the lidar collection. Any ponds and/or lakes were adjusted to be at or just below the bank and to be at a constant elevation. Any streams were adjusted to be at or just below the bank and to be monotonic. Manual QAQC and peer-based QC review was performed on all delineated data to ensure horizontal placement quality and on all adjusted data to ensure vertical placement quality. The final hydrologic breakline product was delivered in ESRI shape file format and was also used in the processing of the DEM deliverable. 2015-04-29T00:00:00 5 Tile Size: 2,500ft x 2,500ft. The tile file name was derived from the southwest corner of each tile. Tile index and extent are provided in shape file format. 2015-04-29T00:00:00 6 The NOAA Office for Coastal Management (OCM) downloaded 2606 las point data files from this PASDA site: https://www.pasda.psu.edu/download/seagrant/2015/LiDAR/las/ The data were in Pennsylvania State Plane North (NAD83 HARN), US survey feet coordinates and NAVD88 (Geoid09) 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,13 - Bridge Deck, 17 - Overlap Default, 18 - Overlap Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Points that were classified as 13 were re-classified to Class 14. Classes available on the DAV are: 1, 2, 3, 4, 5, 6, 7, 9, 10, 14, 17, 18. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the las files to: a. Convert from orthometric (NAVD88) elevations to NAD83 (2011) ellipsoid elevations using the Geoid09 model b. Convert from Pennsylvania State Plane North (NAD83 HARN), US survey feet coordinates to geographic coordinates c. Re-classify points that were class 13 to class 14 d. Convert the elevations from feet to meters. e. Assign the geokeys, sort the data by gps time and zip the data to database. 2023-06-08T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ 70161 Data Set Cross Reference gov.noaa.nmfs.inport:70152 Rebecca Mataosky 2023-06-09T19:14:39 SysAdmin InPortAdmin 2026-03-04T19:17:17 2023-06-09 OCM Partners OCMP 1002 Public No No 2023-06-09 1 Year 2024-06-09