This dataset consists of classified LiDAR (Light Detection and Ranging) elevation points produced by the PAMAP Program. Additional information is available at the PAMAP website: www.dcnr.state.pa.us/topogeo/pamap. PAMAP data are organized into blocks, which do not have gaps or overlaps, that represent 10,000 feet by 10,000 feet on the ground. The coordinate system for blocks in the northern half of the state is Pennsylvania State Plane North (datum:NAD83, units: feet); blocks in the southern half of the state are in Pennsylvania State Plane South. A block name is formed by concatenating the first four digits of the State Plane northing and easting defining the block's northwest corner, the State identifier "PA", and the State Plane zone designator "N" or "S" (e.g. 45001210PAS). The following are the collection dates for each county chronologically from 2006-2008: Chester : 20060321 - 20060502 ---- Cumberland : 20060406 - 20060429 ---- Dauphin : 20060406 - 20060429 & 20060321 - 20060502 ---- Delaware : 20060406 - 20060429 ---- Fayette : 20060406 - 20060429 & 20070430 ---- Franklin : 20060406 - 20060429 & 20060321 - 20060502 ---- Fulton : 20060406 - 20060429 ---- Greene : 20060406 - 20060429 ---- Huntingdon : 20060406 - 20060429 ---- Indiana : 20060406 - 20060429 ---- Juniata : 20060426 - 20060430 ---- Lancaster : 20060426 - 20060430 ---- Lawrence : 20060426 - 20060430 & 20060406 - 20060429 & 20060321 - 20060502 ---- Adams : 20070430 ---- Allegheny : 20070430 ---- Armstrong : 20070430 ---- Beaver : 20070430 ---- Bedford : 20070430 ---- Berks : 20070430 ---- Blair : 20070430 ---- Bucks : 20070430 ---- Butler : 20070430 ---- Cambria : 20070430 ---- Lebanon : 20080330 - 20080418 & 20080419 - 20080420 ---- Lehigh : 20080330 - 20080418 & 20080419 - 20080420 & 20080415 - 20080419 & 20080423 - 20080424 ---- Mifflin : 20080410 - 20080411 & 20080330 - 20080418 & 20080410 - 20080419 ---- Montgomery : 20080410 - 20080411 & 20080425 ---- Northampton : 20080410 - 20080418 & 20080402 - 20080403 & 20080321 - 20080326 ---- Perry : 20080410 - 20080419 & 20080410 - 20080418 & 20080424 & 20080415 - 20080419 ---- Philadelphia : 20080410 - 20080419 & 20080424 & 20080414 - 20080510 ---- Schuylkill : 20080414 - 20080425 & 20080414 - 20080510 & 20080321 - 20080326 ---- Snyder : 20080414 - 20080425 & 20080410 - 20080418 - 20080510 ---- Somerset : 20080414 - 20080425 & 20080410 - 20080418 & 20080321 - 20080326 ---- Washington : 20080419 - 20080420 & 20080415 - 20080419 & 20080423 - 20080424 & 20080402 - 20080403 ---- Westmoreland : 20080419 - 20080420 & 20080423 - 20080424 ---- York : 20080419 - 20080420 ----

Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 20 counties in Pennsylvania, PA_WesternPA_1 (Work Unit 186384) - approximately 6154 square miles This dataset covers part of Allegheny, Armstrong, Butler, Indiana, and Washi...

The Dauphin County, PA 2016 QL2 LiDAR project called for the planning, acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 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 Pennsylvania South Zone, US survey feet; NAVD1988 (Geoid 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 711 individual 5,000-foot x 5,000-foot tiles. Tile names use the following naming schema: "YYYYXXXXPAd" where YYYY is the first 3 characters of the tile's upper left corner Y-coordinate, XXXX - the first 4 characters of the tile's upper left corner X-coordinate, PA = Pennsylvania, and d = 'N' for North or 'S' for South. Corresponding 2.5-foot gridded hydro-flattened bare earth raster tiled DEM files and intensity image files were created using the same 5,000-foot x 5,000-foot schema. Hydro-flattened breaklines were produced in Esri file geodatabase format. Continuous 2-foot contours were produced in Esri file geodatabase format. Ground Conditions: LiDAR collection began in Spring 2016, 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, Quantum Spatial established a total of 84 control points (24 calibration control points and 60 QC checkpoints). These were used to calibrate the LIDAR to known ground locations established throughout the project area.

The Dauphin County, PA 2016 QL2 LiDAR project called for the planning, acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 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 Pennsylvania South Zone, US survey feet; NAVD1988 (Geoid 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 711 individual 5,000-foot x 5,000-foot tiles. Tile names use the following naming schema: "YYYYXXXXPAd" where YYYY is the first 3 characters of the tile\'s upper left corner Y-coordinate, XXXX - the first 4 characters of the tile\'s upper left corner X-coordinate, PA = Pennsylvania, and d = \'N\' for North or \'S\' for South. Corresponding 2.5-foot gridded hydro-flattened bare earth raster tiled DEM files and intensity image files were created using the same 5,000-foot x 5,000-foot schema. Hydro-flattened breaklines were produced in Esri file geodatabase format. Continuous 2-foot contours were produced in Esri file geodatabase format. Ground Conditions: LiDAR collection began in Spring 2016, 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, Quantum Spatial established a total of 84 control points (24 calibration control points and 60 QC checkpoints). These were used to calibrate the LIDAR to known ground locations established throughout the project area.

These ZIP files contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 161-200 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 43.2 GB in size.

For additional information, please see https://zenodo.org/record/4766351.

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Lake Erie coast of PA in 2007. The data types collected include bathymetry and topographic lidar point data, true color imagery and hyperspectral imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm and the hyperspectral imagery will be provided in 1m pixels containing 36 bands between 375 - 1050 nm with 19 nm bandwidth. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Once converted to orthometric heights, the data are then converted to the International Great Lakes Datum of 1985 (IGLD85) using the VDatum program from NOAA (National Oceanic and Atmospheric Administration).

Geographic Extent: Allentown, Pennsylvania, covering approximately 20 square miles in eastern Pennsylvania. Dataset Description: Allentown, Pennsylvania 2016 QL1 LiDAR project called for the planning, acquisition, processing, and production of products derivative of LIDAR data to be collected at a nominal pulse spacing (NPS) of 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 Pennsylvania South Zone, US survey feet and vertical datum of NAVD1988 (GEOID 12B), US survey feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 129 individual 2,500-foot X 2,500-foot tiles, 1-foot hydro-flattened bare-earth raster DEMs in ERDAS .IMG format and intensity images in GeoTIFF format, tiled to the same 2,500-foot X 2,500-foot tile schema. Hydro-flattened breaklines were produced in Esri file geodatabase format. A mosaic of the hydro-flattened bare-earth raster DEMs was produced in ERDAS .IMG format. Ground Conditions: LiDAR was collected in spring of 2016, 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, A total of 18 calibration control points in order to calibrate the LIDAR to known ground locations established throughout the project area. The accuracy of the data was checked with 20 NVA points and 5 VVA points (25 total QC checkpoints).

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Honesdale 30 x 60 minute quadrangle in Pennsylvania and part of New York. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2019 from the Pennsylvania Spatial Data Access (PASDA). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the York 30 x 60 minute quadrangle in Pennsylvania and Maryland. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2014 and 2017 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Michigan digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar, US Army Corps of Engineer dredge surveys, and National Park Service multibeam data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Allegan, Antrim, Benzie, Berrien, Charlevoix, Delta, Emmet, Grand Traverse, Leelanau, Mackinac, Manistee, Mason, Menominee, Muskegon, Oceana, Ottawa, Schoolcraft, and Van Buren counties in Michigan; Lake, La Porte, and Porter Counties in Indiana, Cook and Lake Counties in Illinois, and Brown, Door, Kenosha, Kewaunee, Manitowoc, Marinette, Milwaukee, Oconto, Ozaukee, Racine, and Sheboygan Counties in Wisconsin. The DEM was produced from the following lidar data sets: 1. 2016 NOAA Topobathy Lidar: Upper Lake Michigan Islands 2. 2015 FEMA Marinette County 3. 2013 Indiana Statewide Lidar Collection: Lake, La Porte, Tippecanoe, Newton, Jasper and Porter County Buy-Up 4. 2013 Muskegon County, Michigan Lidar Co-Op 5. 2013 USACE NCMP Topobathy Lidar: Lake Michigan North (MI) 6. 2012 USACE NCMP Topobathy Lidar: Lake Michigan (MI,WI) 7. 2012 USACE NCMP Topobathy Lidar: Lake Michigan (IL,IN,MI,WI) 8. 2010 Brown County Lidar 9. 2008 USACE NCMP Topobathy Lidar: Lake Michigan (IN) 10. 2008 USACE NCMP Topobathy Lidar: Lake Michigan (WI) 11. 2008 USACE NCMP Topobathy Lidar: Lake Michigan (IL) 12. 2008 USACE NCMP Topobathy Lidar: Lake Michigan (MI) 13. 2007 USACE NCMP Topobathy BE Lidar: Lake Michigan (MI) and Lake Erie (PA) 14. 2007 ARRA Lidar: Lake County (IL) 15. 2006 USACE NCMP Topobathy Lidar: Lake Michigan (IN), Lake Erie (OH,PA), Lake Huron (MI) The DEM was produced from the following sonar data sets: 16. 2015 USACE Detroit District, Port Washington Harbor, WI 17. 2015 USACE Detroit District, South Haven Harbor, MI 18. 2015 USACE Detroit District, Washington Island (Detroit Harbor), WI 19. 2015 USACE Detroit District, Washington Island (Jackson Harbor), WI 20. 2015 USACE Detroit District, Grand Haven Harbor, MI 21. 2015 USACE Detroit District, Pentwater Harbor, MI 22. 2015 USACE Detroit District, Pensaukee Harbor, WI 23. 2015 USACE Detroit District, St. Joseph Harbor, MI 24. 2015 USACE Detroit District, Manistee Harbor, MI 25. 2015 USACE Detroit District, Green Bay Harbor, WI 26. 2015 USACE Detroit District, Saugatuck Harbor, MI 27. 2015 USACE Detroit District, Oconto Harbor, WI 28. 2015 USACE Detroit District, White Lake Harbor, MI 29. 2015 USACE Detroit District, Manistique Harbor, MI 30. 2014 USACE Detroit District, Milwaukee Harbor, WI 31. 2014 USACE Detroit District, Frankfort Harbor, MI 32. 2014 USACE Detroit District, St. Joseph Harbor, MI 33. 2014 USACE Detroit District, Holland Harbor, MI 34. 2014 USACE Chicago District, Burns Waterway Harbor, IN 35. 2014 USACE Chicago District, Burns Small Boat Harbor, IN 36. 2014 USACE Chicago District, Michigan City, IN 37. 2014 USACE Chicago District, Waukegan Harbor, IL 38. 2014 USACE Chicago District, Calumet River, IL 39. 2014 USACE Detroit District, Menominee Harbor, MI/WI The DEM was produced from the following NPS multibeam sonar data sets: 40. 2011, National Park Service, Sleeping Bear Dunes National Lakeshore Multibeam Sonar 41. 2012, National Park Service, Sleeping Bear Dunes National Lakeshore Multibeam Sonar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 281-335 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 47.6 GB in size.

For additional information, please see https://zenodo.org/record/4766351.

Original Dataset Geographic Extent: This data set covers approximately 3260 square miles over the Philadelphia Metro area, comprised of of 8 contiguous counties located in the states of Pennsylvania and New Jersey. The counties are: Pennsylvania - Bucks, Delaware, Montgomery, Philadelphia; New Jersey - Burlington, Camden, Gloucester, Mercer.

Original Dataset Description: Delaware Valley 20...

These contour lines were derived and delivered for Pennsylvania from the PAMAP Quality Level 3 (QL3) LIDAR data collection between 2006 and 2008. Some post-processing has been done to the original deliverables, including merging, line smoothing, and eliminating duplicate (overlapping) data between collections. This dataset renders the contour lines with the following scale-dependent visibility: 100 foot increments between 1:200,000 and 1:100,000 | 50 foot increments between 1:100,000 and 1:30,000 | 20 foot increments between 1:30,000 and 1:5,000 | 10 foot increments between 1:5,000 and 1:1,000 | and 2 foot increments between 1:1,000 and 1:10. The lines have been smoothed using the ArcGIS Pro 3.3 Smooth Line geoprocessing tool via the Polynomial Approximation with Exponential Kernal (PAEK) and setting a 10 ft smoothing tolerance distance. The extent of this data extends slightly beyond the Pennsylvania boundary into all surrounding states to ensure complete coverage of Pennsylvania. Duplicate (overlapping) contour data between collection years and north/south state plane zones has been eliminated by splitting the data from adjacent collects at county boundaries to ensure a seamless product with no duplication or overlapping data. The contour line geometries along the county boundaries that separate different years of PAMAP data collection (2006, 2007, and 2008) do not always connect properly.

This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 51-80 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 79.3 GB in size.

For additional information, please see https://zenodo.org/record/4766351.

Mosaics of PAMAP DEMs by PAMAP Lidar Delivery Zones - This dataset, produced by the PAMAP Program, consists of a raster digital elevation model with a horizontal ground resolution of 3.2 feet. The model was constructed from PAMAP LiDAR (Light Detection and Ranging) elevation points. PAMAP data are organized into blocks, which do not have gaps or overlaps, that represent 10,000 feet by 10,000 feet on the ground. The coordinate system for blocks in the northern half of the state is Pennsylvania State Plane North (datum:NAD83, units: feet); blocks in the southern half of the state are in Pennsylvania State Plane South. A block name is formed by concatenating the first four digits of the State Plane northing and easting defining the block's northwest corner, the State identifier "PA", and the State Plane zone designator "N" or "S" (e.g. 45001210PAS).

This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011. Leaf-off LiDAR data were combined with high-resolution leaf-on agricultural imagery in a model-based stratification that was used to select 848 sampling sites for AGB estimation. Field-based estimates were then related to LiDAR height and volume metrics through random forest regression models across three physiographic regions. Spatial errors were estimated at the pixel level using standard prediction intervals to assess the accuracy of the modeling approach. Estimates of biomass were further validated against the permanent network of FIA plots and compared with existing coarse resolution national biomass maps.

This dataset is lidar point cloud data covering the City of Philadelphia, PA. The data were collected for the City of Philadelphia in April 2022. DEMs were generated from the raw data. This lidar point cloud data covers approximately 239 sq miles total. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. At the time of capture ground conditions...

This high-resolution lidar survey covers an area of 209 km² located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

Abstract: Dissertation chapter providing pertinent information on LiDAR vegetation validation.

                  Other Description: Kristen M. Brubaker (2011): MULTI-SCALE LIDAR-BASED APPROACHES TO CHARACTERIZING STREAM NETWORKS, SURFACE ROUGHNESS AND LANDFORMS OF FOREST WATERSHEDS. Doctor of Philosophy, Pennsylvania State University, p. 162.

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