description: OCM plans to collect lidar data to support coastal zone management activities. Projects could take place anywhere within US coastal zone.; abstract: OCM plans to collect lidar data to support coastal zone management activities. Projects could take place anywhere within US coastal zone.

Contours of the various Lidar sectors acquired since 2011 and spread throughout the Auvergne-Rhône-Alpes region. This data is acquired in partnership with many actors such as departmental councils, associations or research laboratories. When the data is in open data it is available on https://drive.opendata.craig.fr/s/opendata?path=%2Flidar%2Fautres_zones

This data collection of the 3D Elevation Program (3DEP) consists of Lidar Point Cloud (LPC) projects as provided to the USGS. These point cloud files contain all the original lidar points collected, with the original spatial reference and units preserved. These data may have been used as the source of updates to the 1/3-arcsecond, 1-arcsecond, and 2-arcsecond seamless 3DEP Digital Elevation Models (DEMs). The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Lidar (Light detection and ranging) discrete-return point cloud data are available in LAZ format. The LAZ format is a lossless compressed version of the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. Point Cloud data can be converted from LAZ to LAS or LAS to LAZ without the loss of any information. Either format stores 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of geo-referenced x, y coordinates and z (elevation), as well as other attributes for each point. Additonal information about the las file format can be found here: https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities. All 3DEP products are public domain.

Acquisition date : 2022/07/06 Sensor :Yellowscan, Surveyor - GNSS-inertial station: Applanix APX-15 UAV - Lidar: Velodyne VLP16 (Puck) : Wavelength: 905 nm / 300,000 pulses per second (300 kHz) / 2 echoes per pulse / Angle of view: 360 deg - Accuracy: 4cm Vector: DJI Matrice 600 Pro drone Flight conditions : - Trajectory design: double grid, distance between lines: 40 m - Speed: 5m/s - Flight height: 50m above ground level, constrained by IGN DTM at 5m spatial resolution -Flight planning software: UGCS-4.0.134 Pre-processing software : - Applanix POSPac UAV 8.4: trajectory post-processing based on the UAV's GNSS inertial unit data, using a reference GNSS base station. The correction solution for each trajectory is exported as an ASCII SBET (Smoothed Best Estimated Trajectory) file. - Yellowscan CloudStation V2106.0.0: The SBET file is integrated into the software to generate point clouds in .las format projected in RGF93/Lambert 93.

MD/PA Sandy Supplemental Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00397 Woolpert Order No. 74333 CONTRACTOR: Woolpert, Inc.

This task is for a high resolution data set of lidar covering approximately 1,845 square miles. The lidar data was acquired and processed under the requirements identified in this task order. Lidar dat...

These data were collected by the SHOALS-1000T(Scanning Hydrographic Operational Airborne Lidar Survey)system which consists of an airborne laser transmitter/receiver with a 1kHz. bathymetric laser and a10 kHz topographic laser. The system was operated from a Beechcraft King Air 90aircraft. Data were collected with the bathymetric laser while flying at altitudes of about 400 meters and a groundspeed of about 124 knots. The topographic laser data was collected at altitudes of about 700 m and a groundspeed of 150 kts. One KGPS base stations was used during processing of the dataset. The SHOALS system includes a ground-based data processing system for calculating accurate horizontal position and water depth / elevation. LIDAR is an acronym for LIght Detection And Ranging. The system operates by emitting a pulse of light that travels from an airborne platform to the water surface where a small portion of the laser energy is backscattered to the airborne receiver. The remaining energy at the water\x92s surface propagates through the water column and reflects off the sea bottom and back to the airborne detector. The time difference between the surface return and the bottom return corresponds to water depth. The maximum depth the system is able to sense is related to the complex interaction of radiance of bottom material, incident sunangle and intensity, and the type and quantity of organics or sediments in the water column. As a rule-of-thumb, the SHOALS 1000 system is capable of sensing bottom to depths equal to two or three times the Secchi depth. Bathymetric soundings are gridded in this dataset.

description: Woolpert Inc. conducted a LiDAR survey to acquire LiDAR capable of producing a DEM for orthophoto rectification and able to support 2-foot contour specifications. The LiDAR data was acquired across the project area of Dorchester County, SC. The lidar data acquisition was executed in 5 sessions, from March 5 to March 7, 2007, using a Leica ALS50(83) Lidar System. The airborne GPS (ABGPS) base stations supporting the LiDAR acquisition consisted of the bases set up by the flight crews at KDYB Airport. Dual Frequency data was logged continuously for the duration of each LiDAR flight mission at a one-second sampling rate or better. The flight plan for LiDAR consisted of parallel flights in a north-south extent across the site. Ninety-seven (97) flight lines of LiDAR data were acquired. No problems were encountered during the LiDAR data acquisition phase of the project which would adversely affect the final accuracy, nor schedule of the final deliverables.; abstract: Woolpert Inc. conducted a LiDAR survey to acquire LiDAR capable of producing a DEM for orthophoto rectification and able to support 2-foot contour specifications. The LiDAR data was acquired across the project area of Dorchester County, SC. The lidar data acquisition was executed in 5 sessions, from March 5 to March 7, 2007, using a Leica ALS50(83) Lidar System. The airborne GPS (ABGPS) base stations supporting the LiDAR acquisition consisted of the bases set up by the flight crews at KDYB Airport. Dual Frequency data was logged continuously for the duration of each LiDAR flight mission at a one-second sampling rate or better. The flight plan for LiDAR consisted of parallel flights in a north-south extent across the site. Ninety-seven (97) flight lines of LiDAR data were acquired. No problems were encountered during the LiDAR data acquisition phase of the project which would adversely affect the final accuracy, nor schedule of the final deliverables.

description: TASK NAME: USGS New York CMGP Sandy Lidar 0.7 Meter NPS LIDAR lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00797 Woolpert Order No. 073666 CONTRACTOR: Woolpert, Inc. This data set is comprised of lidar point cloud data, raster DEM, hydrologic 3-d breaklines, raster intensity, survey control, project tile index, and project data extent. This task order requires lidar data to be acquired over several areas in New York State to include the entire counties of Bronx, Kings, New York, Richmond, and Queens. Governors, Hoffman, and Swinburne Islands are part of the New York area of interest (AOI), and will be acquired as part of this task order. The total area of the New York Sandy Lidar AOI is approximately 304 square miles. Woolpert acquired lidar data of New York City as part of a task order for the NGA. The flight plan for the New York City NGA Lidar task order was developed with 11 additional cross flights over the Manhattan Metropolitan area to minimize data shadowing and data voids in the lidar dataset caused by tall buildings. The lidar data for the NGA task order was acquired between August 5, 2013 and August 15, 2013. USGS requested use of this data from the NGA, in order to reduce the duplication of lidar data acquisition effort on the New York CMGP Sandy Lidar task order. The NGA approved the use of this lidar data for the USGS task order.Following the approval by NGA, Woolpert was able to utilize the cross flights acquired as part of the NGA task order to minimize data shadowing and data voids caused by tall buildings in the USGS New York CMGP Sandy Lidar task order AOI. The cross flights used in the New York CMGP Sandy 0.7M NPS Lidar Processing task order from the NGA New York City task order were flown on August 6, 2013. The lidar data acquisition parameters for this mission are detailed in the lidar processing report for this task order. The lidar data will be 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, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Collected swath files that were that were larger than 2GB were provided in multiple sub-swath files, each less than 2GB. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. The tide window requirements for the lidar data acquisition; Tidally impacted waters within the AOI are expected to be acquired at Predicted MLW +- 2 hours exclusive of neap tide.; The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly.; One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 1 meter. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value; During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. NOAA OCM has not received any finalized DEMs for this project and do not expect to, therefore any request for these should be directed to USGS' National Map or a contact at Woolpert directly (as listed below).; abstract: TASK NAME: USGS New York CMGP Sandy Lidar 0.7 Meter NPS LIDAR lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00797 Woolpert Order No. 073666 CONTRACTOR: Woolpert, Inc. This data set is comprised of lidar point cloud data, raster DEM, hydrologic 3-d breaklines, raster intensity, survey control, project tile index, and project data extent. This task order requires lidar data to be acquired over several areas in New York State to include the entire counties of Bronx, Kings, New York, Richmond, and Queens. Governors, Hoffman, and Swinburne Islands are part of the New York area of interest (AOI), and will be acquired as part of this task order. The total area of the New York Sandy Lidar AOI is approximately 304 square miles. Woolpert acquired lidar data of New York City as part of a task order for the NGA. The flight plan for the New York City NGA Lidar task order was developed with 11 additional cross flights over the Manhattan Metropolitan area to minimize data shadowing and data voids in the lidar dataset caused by tall buildings. The lidar data for the NGA task order was acquired between August 5, 2013 and August 15, 2013. USGS requested use of this data from the NGA, in order to reduce the duplication of lidar data acquisition effort on the New York CMGP Sandy Lidar task order. The NGA approved the use of this lidar data for the USGS task order.Following the approval by NGA, Woolpert was able to utilize the cross flights acquired as part of the NGA task order to minimize data shadowing and data voids caused by tall buildings in the USGS New York CMGP Sandy Lidar task order AOI. The cross flights used in the New York CMGP Sandy 0.7M NPS Lidar Processing task order from the NGA New York City task order were flown on August 6, 2013. The lidar data acquisition parameters for this mission are detailed in the lidar processing report for this task order. The lidar data will be 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, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Collected swath files that were that were larger than 2GB were provided in multiple sub-swath files, each less than 2GB. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. The tide window requirements for the lidar data acquisition; Tidally impacted waters within the AOI are expected to be acquired at Predicted MLW +- 2 hours exclusive of neap tide.; The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly.; One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 1 meter. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value; During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. NOAA OCM has not received any finalized DEMs

In support of geologic mapping and hazards evaluation in and near Whittier, Alaska, the Division of Geological & Geophysical Surveys (DGGS) acquired, and is making publicly available, lidar (light detection and ranging) data for an area along Passage Canal, Portage Lake, and Portage Glacier Highway. The lidar data, acquired and processed by Watershed Sciences, Inc. (WSI) consist of continuous coverage encompassing an area extending from Portage Lake eastward to Logging Company Bay in Passage Canal in the Seward D-4, D-5, and D-6 1:63,360-scale quadrangles. Lidar data collected below 1,600 ft (488 m) elevation have a minimum average pulse density of 8 pulses/square meter; above 1,600 ft (488 m) data were collected with an average pulse density of at least 4 pulses/square meter. Following lidar data collection and processing by WSI and their survey subcontractor, McClintock Land Associates, WSI submitted the data to the State of Oregon Department of Geology and Mineral Industries (DOGAMI) for independent quality control analysis. After addressing any concerns from DOGAMI, WSI submitted the revised dataset to DGGS along with a technical report describing details about the lidar acquisition, accuracy, and quality. DOGAMI also provided a separate report summarizing their methodologies and the results of quality control checks.

The collection of LiDAR data for the James River basin began in 2010. The detailed surface elevation data will be used for conservation planning, design, research, delivery, floodplain mapping and hydrologic modeling utilizing LiDAR technology. The project area includes part of the James River watershed and adjacent areas in North and South Dakota. The project encompasses 16,825 sq miles and the 2010 phase of the project acquired 8,060 sq miles of LiDAR data and subsequent terrain data. This project represents the second phase with an objective to collect the remaining 8,765 square miles of the project area.

This data set is comprised of lidar point cloud data. This project required lidar data to be acquired over Horry County, South Carolina. The total area of the Horry County Elevation Data and Imagery AOI is approximately 1092 square miles. Lidar data was collected and processed to meet the requirements of the project task order. The lidar collection was a collaborative effort between two data acquisition firms. While Woolpert was responsible for collection of the majority of the county, the coastal portion of the data was collected by Quantum Geospatial and is detailed in the processing steps of the metadata. 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, four (4) foot 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. Ground conditions: Water at normal levels; no unusual inundation; no snow. The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly. One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 2.5 feet. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value. During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. The data received by the NOAA OCM are topographic data in LAS 1.2 format, classified as unclassified (1), ground (2), all noise (7), water (9), ignored ground (10), overlap unclassified (17), and overlap ground (18). Digital Elevation Models (DEMs) and breakline data are also available. The DEM data are available at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid18/data/4814/DEMs/ The breakline data are available at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid18/data/4814/breaklines Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office of Coastal Management (OCM)or its partners. Original contact information: Contact Org: Woolpert Phone: (937) 461-5660

The 2015-2017 State of Utah Lidar Acquisition project includes portions of Bear Lake in Utah and Idaho, the Bear River, Cache Valley, Utah FORGE Project, Great Salt Lake, Minidoka National Wildlife Refuge (Idaho), Monroe Mountain, Utah Lake, Washington County, Washakie, Weber Valley, and the Whites Valley areas in Utah and the Colorado and Green River corridors in Utah. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.4.

TASK NAME:(NRCS) Saginaw Bay, MI LiDAR LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G11PD01254 Woolpert Order No. 071804 CONTRACTOR: Woolpert, Inc. 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 meter. The final products include first, last, and at least one intermediate return LAS, full classified LAS and one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. The LiDAR data was acquired on November 18, 2011, November 21, 2011, November 22, 2011, November 23, 2011, December 26, 2011, April 4, 2012, April 5, 2012, and April 6, 2012.

description: TASK NAME: Lake Erie LiDAR Priority Area 1 LiDAR Data Acquisition and Processing Production Task- Jackson, Hillsdale, and Lenawee Counties USGS Contract No. G10PC00057 Task Order No: G10PD02054 Woolpert ORDER NUMBER: 70398 CONTRACTOR: Woolpert, Inc. 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 measurment 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 resolution of 0.44 points per square meter (PPSM). The final products include first, last, and at least one intermediate return LAS, full classified LAS and a bare earth model in separate files.; abstract: TASK NAME: Lake Erie LiDAR Priority Area 1 LiDAR Data Acquisition and Processing Production Task- Jackson, Hillsdale, and Lenawee Counties USGS Contract No. G10PC00057 Task Order No: G10PD02054 Woolpert ORDER NUMBER: 70398 CONTRACTOR: Woolpert, Inc. 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 measurment 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 resolution of 0.44 points per square meter (PPSM). The final products include first, last, and at least one intermediate return LAS, full classified LAS and a bare earth model in separate files.

There are three tasks associated with this delivery order: Task 1: Elevations of the Low Steel for bridge superstructures on the following rivers: St. Croix between river miles 0 - 24 (05 bridges) Mississippi between river miles 634 - 858 (39 bridges) Minnesota between river miles 1 - 15 (05 bridges) Black between river miles 1 - 2 (01 bridges) Total =50 Task 2: Elevations of the Lowest Sag Point of Overhead cables and extents/locations of supporting pylons on the following rivers: St. Croix between river miles 8 - 22 (04 O/H Cables) Mississippi between river miles 678 - 858 (26 O/H Cables) Minnesota between river miles 0 - 15 (09 O/H Cables) Black between river miles 0 - 1 (01 O/H Cables) Total = 40 Task 3: Collection of Navigation features and RAW Point Cloud of specified Lock and Dams on the following river: Mississippi between river miles 615 - 854 (13 Lock & Dams) The navigation features to be collected are Lock Guidewall, Lock Chamber and Lock Gates. Additionally, the RAW point cloud shall be collected for all accessible areas of the specified Lock and Dams. The total number of structures is 103. See attachment A for a detailed list of structures.

The Point Cloud LiDAR Data Processing Software market is experiencing robust growth, driven by the increasing adoption of LiDAR technology across various sectors. The surge in demand for accurate 3D spatial data in applications like autonomous vehicles, precision agriculture, infrastructure management, and urban planning is fueling market expansion. Technological advancements, including the development of sophisticated algorithms for point cloud processing and the integration of AI and machine learning capabilities, are enhancing the efficiency and accuracy of these software solutions. The market is segmented by software type (e.g., point cloud editing, registration, classification, and modeling software), deployment mode (cloud-based and on-premise), and end-user industry. While competition is intense among established players like Trimble, Bentley Systems, Leica Geosystems, Autodesk, and FARO, the market also presents opportunities for specialized niche players focusing on specific industry applications or innovative processing techniques. The global market is geographically diverse, with North America and Europe currently holding significant market share due to early adoption and technological advancements. However, rapid growth is anticipated in Asia-Pacific and other emerging regions driven by infrastructure development and increasing government investments in digitalization initiatives. The forecast period (2025-2033) projects sustained growth, potentially exceeding a Compound Annual Growth Rate (CAGR) of 15%, reflecting the continued integration of LiDAR data processing into mainstream workflows. Challenges remain, including the high cost of LiDAR data acquisition and processing, the complexity of software solutions, and the need for skilled professionals to operate and interpret the results. Nevertheless, ongoing innovation and the increasing affordability of LiDAR technology are mitigating these challenges, contributing to the market's positive outlook. The competitive landscape is dynamic, with both established players and new entrants continually seeking to improve software features, expand their market reach, and enhance customer support. Strategic partnerships and acquisitions are expected to play a significant role in shaping the market's future trajectory.

LiDAR_Point_Clouds, Classified. AHD have been preocessed to conform to the Australian Height Datum and converted from files collected as swaths in to tiles of data. The file formats is LAS.

LAS is an industry format created and maintained by the American Society for Photogrammetry and Remote Sensing (ASPRS). LAS is a published standard file format for the interchange of lidar data. It maintains specific information related to lidar data. It is a way for vendors and clients to interchange data and maintain all information specific to that data. Each LAS file contains metadata of the lidar survey in a header block followed by individual records for each laser pulse recorded. The header portion of each LAS file holds attribute information on the lidar survey itself: data extents, flight date, flight time, number of point records, number of points by return, any applied data offset, and any applied scale factor. The following lidar point attributes are maintained for each laser pulse of a LAS file: x,y,z location information, GPS time stamp, intensity, return number, number of returns, point classification values, scan angle, additional RGB values, scan direction, edge of flight line, user data, point source ID and waveform information. Each and every lidar point in a LAS file can have a classification code set for it. Classifying lidar data allows you to organize mass points into specific data classes while still maintaining them as a whole data collection in LAS files. Typically, these classification codes represent the type of object that has reflected the laser pulse. Point classification is usually completed by data vendors using semi-automated techniques on the point cloud to assign the feature type associated with each point. Lidar points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files. The following table contains the LAS classification codes as defined in the LAS 1.1 standard: Class code Classification type 0 Never classified 1 Unassigned 2 Ground 3 Low vegetation 4 Medium vegetation 5 High vegetation 6 Building 7 Noise 8 Model key 9 Water

Lineage: Fugro Spatial Solutions (FSS) were awarded a contract by Geoscience Australia to carry out an Aerial LiDAR Survey over the Kakadu National Park. The data will be used to examine the potential impacts of climate change and sea level rise on the West Alligator, South Alligator, East Alligator River systems and other minor areas. The project area was flight planned using parameters as specified. A FSS aircraft and aircrew were mobilised to site and the project area was captured using a Leica ALS60 system positioned using a DGPS base-station at Darwin airport. The Darwin base-station was positioned by DGPS observations from local control stations. A ground control survey was carried out by FSS surveyors to determine ground positions and heights for control and check points throughout the area. All data was returned to FSS office in Perth and processed. The deliverable datasets were generated and supplied to Geoscience Australia with this metadata information.

NEDF Metadata Acquisition Start Date: Saturday, 22 October 2011 Acquisition End Date: Wednesday, 16 November 2011 Sensor: LiDAR Device Name: Leica ALS60 (S/N: 6145) Flying Height (AGL): 1409 INS/IMU Used: uIRS-56024477 Number of Runs: 468 Number of Cross Runs: 28 Swath Width: 997 Flight Direction: Non-Cardinal Swath (side) Overlap: 20 Horizontal Datum: GDA94 Vertical Datum: AHD71 Map Projection: MGA53 Description of Aerotriangulation Process Used: Not Applicable Description of Rectification Process Used: Not Applicable Spatial Accuracy Horizontal: 0.8 Spatial Accuracy Vertical: 0.3 Average Point Spacing (per/sqm): 2 Laser Return Types: 4 pulses (1st 2nd 3rd 4th and intensity) Data Thinning: None Laser Footprint Size: 0.32 Calibration certification (Manufacturer/Cert. Company): Leica Limitations of the Data: To project specification Surface Type: Various Product Type: Other Classification Type: C0 Grid Resolution: 2 Distribution Format: Other Processing/Derivation Lineage: Capture, Geodetic Validation WMS: Not Applicable?

Airborne LiDAR data were acquired over the East River Watershed on June 8, 2015 to August 10, 2015. The area covered was approximately 4933 square kilometers with an average point density of 10-12 points per square meter to comply with USGS's QL1 standard. Additional products include the LiDAR point cloud and derived products (including the digital elevation map, top-of-canopy elevation). The attached LIDAR acquisition report accompanies the delivered LiDAR data and documents contract specifications, data acquisition procedures, acquisition parameters (e.g., flight line trajectories, coverage maps), processing methods, and analysis of the final dataset including LiDAR accuracy and density. The metadata can be accessed by using GIS software (QGIS, ArcGIS) or remote sensing software (ENVI). The LiDAR data collection was funded by the Watershed Function SFA project and IDEAS-Watersheds projects supported by U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under award no. DE-AC02-05CH11231.

This data set is comprised of a hydro-flattened digital elevation model (DEM). The total area collected for Horry County, SC for this project is approximately 1092 square miles. Lidar data was collected and processed to meet the requirements of the project task order. The lidar collection was a collaborative effort between two data acquisition firms. While Woolpert was responsible for collection of the majority of the county, the coastal portion of the data was collected by Quantum Geospatial and is detailed in the processing steps of the metadata. 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, four (4) foot 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. Ground conditions: Water at normal levels; no unusual inundation; no snow. The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly. One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 2.5 feet. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value. During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the bare earth DEM. In all cases, professional practice was applied to best represent the topography. The data received by the NOAA OCM are topographic data in LAS 1.2 format, classified as unclassified (1), ground (2), all noise (7), water (9), ignored ground (10), overlap unclassified (17), and overlap ground (18). Digital Elevation Models (DEMs) and breakline data are also available. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office of Coastal Management (OCM) or its partners. Original contact information: Contact Org: Woolpert Phone: (937) 461-5660