This dataset contains Aerial LiDAR (also known as airborne laser scanning, ALS) data in .las format collected over tropical forests in Nouragues in French Guiana in 2019. The data were collected by Altoa using a BN2 aircraft flying at approximately 900 m altitude at a speed of approximately 180 km/hr. Trajectory files in txt format giving detailed flight data are included with the archived dataset. The LiDAR instrument was RIEGL LMS-Q780 and used a minimum pulse density of 15 points/sqm. The lateral overlap between two flight lines was 80%. with a Scan angle of +/- 30 degrees. The data coordinate reference system used with the data files is epsg 2972 more details of this and of the Nouragues site can be found in the documentation section.

enter image description here A 3D mapping of France’s soil and sursol As part of the national LiDAR HD programme, IGN produces and disseminates a 3D mapping of the entire soil and surface of France in LIDAR data. The data disseminated are in particular recalated point clouds, raw or classified, and 3D numerical modelling (MNT, MNS, MNH...). The 3D point clouds acquired under the LiDAR HD program are first classified into several classes (soil, water, vegetation, buildings, bridges, perennial sursol) and then give rise to the production of MNTs (digital field models), MNS (digital surface models) and MNH (digital height models). The acquisitions and productions are spread over 5 years according to the priority needs expressed by the national and local sponsors of the project and their uses. All data acquired and produced within the framework of the programme (gross and classified point clouds, derivatives) is disseminated in open data (ETALAB 2.0 open license) taking into account the decree listing the areas of the national territory prohibited for aerial shooting by camera, cinematographic or any other remote sensing sensor. Some slabs will thus be absent during the dissemination of the data.

The U.S. Geological Survey (USGS) contracted with Hawaii-based Aerial Surveying, Inc. to collect lidar-derived elevation data over the low-lying areas within the northwestern Hawaiian Islands (NWHI) during the summer of 2010. A separate contract issued to Aerial Surveying, Inc. by the National Oceanic and Atmospheric Administration (NOAA) funded the lidar data processing and elevation data product development phases of the project. Lidar data provide high resolution digital elevation models that are used for many applications, including but not limited to sea level rise modeling, habitat assessments, and tsunami inundation modeling. In April 2011, NOAA Papahanaumokuakea Marine National Monument and NOAA Office for Coastal Management deployed a survey crew to the NWHI to collect high accuracy point data to validate the 2010 lidar data. The survey crew used survey-grade Global Positioning System (GPS) receivers to collect high accuracy elevation points. This metadata covers the information for French Frigate Shoals. This dataset contains lidar point clouds in LAS 1.2 format, classified according to the ASPRS LAS 1.2 class table. The following are the equipment used to create the lidar data sets. Aircraft: Beechcraft Queen Air Lidar Systems: Riegl 140 and 240 Accuracy statements are based on areas of open terrain, with points classified as ground. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. Classified data sets such as this one may have varying posting due to some pulses not reaching the ground. This work was conducted under permit number PMNM-2010-033 as approved by NOAA, the U.S. Fish and Wildlife Service (USFWS), and the State of Hawaii, and acknowledged by Dr. Charles L. Littnan of NOAA's Pacific Islands Fisheries Science Center. Original contact information: Contact Name: Lidar Manager Contact Org: Aerial Surveying Inc. Title: Lidar Manager Phone: (808) 327-9439

In January 2020, the North Carolina Department of Transportation (NCDOT) began work on the Interstate 26 (I 26) highway widening project that involves a bridge crossing over the French Broad River (FBR) near Asheville, North Carolina. The U.S Geological Survey (USGS) in cooperation with the NCDOT conducted a pre-construction light detection and ranging (lidar) survey of the streambanks within a one-kilometer reach of the FBR at the bridge construction site in November 2019 (Whaling and others, 2023). In December 2020, a canoe-based repeat streambank lidar survey was collected approximately 11 months after construction began, with the purpose to monitor geomorphological changes to the streambank and inform the NCDOT of potential impacts from construction activities. The survey extended from 300 meters (m) upstream to 700 m downstream from the bridge. Two georeferenced lidar scans were collected; one of the right-descending bank and one of the left-descending bank. Three-dimensional points of the streambanks were collected with a canoe-mounted Velodyne VLP-16 laser scanner integrated with an SBG Systems Ellipse2-D inertial navigation systems (INS), which consists of dual Global Navigation Satellite Systems (GNSS) receivers and an inertial motion unit. The lidar scanner creates a “point cloud” of lidar returns and the INS computes the position and orientation of the points in three-dimensional space. The navigation solution from the INS was further improved in post processing. Ground points were identified in each point cloud with a Cloth Simulation Filter (Zhang and others, 2016) implemented in CloudCompare software (CloudCompare, 2023) and classified with code 2 (ground) according to the American Society for Photogrammetry and Remote Sensing (ASPRS) standard lidar point classes (ASPRS, 2011). Water-surface reflections were identified and classified as code 7 (low noise; ASPRS, 2011). All other points in each point cloud were classified as code 1 (unclassified; ASPRS, 2011). The left and right streambank point clouds are provided as separate LAS files, an industry-standard binary format for storing large point cloud datasets. Each LAS file is provided with position and elevation data in three dimensions in units of meters, 8-bit scaled intensity, and the classification code. The data are projected in Universal Transverse Mercator (UTM) coordinate system, zone 17 north, horizontally referenced to the North American Datum of 1983 (NGS, 2018a), 2011 realization (NAD83 2011), and vertically referenced to the North American Vertical Datum of 1988 (NAVD88; NGS, 2018b).

The MNS LiDAR HD product is the digital surface model derived from the LiDAR HD point cloud acquired under the national LiDAR HD programme with a density of at least 10 pulses per m2 and 5 pulses per m2 above 3200 m altitude. In addition to the terrain, this regular grid provides the elevation of all above-ground elements such as vegetation, buildings or structures. It is derived from the ground points, water points, low/medium/high vegetation points, buildings points and bridge deck points contained in the classified LiDAR HD point cloud. This product must cover all of metropolitan France and the DROMs (Departments and Overseas Regions except French Guiana) by 2026. You can follow the progress of the programme on the following link: acquisitionslidarhd - My IGN map and the progress of the availability of the digital surface model data here: treatmentslidarhd - My IGN card The content of these different classes is detailed in the product content description: LiDAR HD Version 1.0 - Content description (ign.fr) It is broadcast in the form of slabs of 1kmx1km and is available at the step of 50 centimeters. A 5m step version will also be available soon. The X and Y coordinates associated with the nodes of the numerical models are integer metric values in projection. These grids are written and provided in image format (Geotif). As an indication, a 32-bit GeoTiff slab weighs approximately 24 MB (for the MNS at a step of 50 cm) and 0.5 MB (for the MNT at a step of 5m). Digital models from HD LiDAR are subject to restrictions on ZICADs (Aerial Data Capture Zones) for which the information is confidential. Data is not provided on these areas in accordance with current regulations (in this case, a nodata value is used). The IGN disseminates another digital surface model data called MNS Correl. The difference between products is largely related to acquisition methodologies (image correlation on the one hand, lidar on the other) and acquisition seasonality (spring/summer for autumn/winter correlation mostly for Lidar). For more information, see the links below. Join the community of users of LiDAR HD products! Fill in the contact form available in the links below to integrate it.

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.

This dataset contains Aerial LiDAR (also known as airborne laser scanning, ALS) data in .las format collected over tropical forests in Paracou in French Guiana in 2019. The data were collected by Altoa using a BN2 aircraft flying at approximately 900 m altitude at a speed of approximately 180 km/hr. Trajectory files in txt format giving detailed flight data are included with the archived dataset. The LiDAR instrume was a RIEGL LMS-Q780 and used a minimum pulse density of 15 points/sqm. The lateral overlap between two flight lines was 80% with a scan angle of +/- 30 degrees. The data coordinate reference system used with the data files is epsg 2972 more details of this and of the Paracou site can be found in the documentation section.

These data were collected by Woolpert using a Leica Hawkeye4X system. Data for Nihoa and French Frigate Shoals were acquired from February 7, 2021 through July 27, 2023. The data includes raster topobathy data in geotiff format created from ground (2) and bathymetric point (40) lidar point values.

The MNT LiDAR HD product is the digital terrain model derived from the LiDAR HD point cloud acquired under the national LiDAR HD programme with a density of at least 10 pulses per m2 and 5 pulses per m2 above 3200 m altitude. It is derived from the "ground", "water" and "virtual" points contained in the classified HD LiDAR point cloud. This product must cover all of metropolitan France and the DROMs (Departments and Overseas Regions except French Guiana) by 2026. You can follow the progress of the programme on the following link: acquisitionslidarhd - My IGN map and the progress of the availability of the digital terrain model data here: treatmentslidarhd - My IGN card The content of these different classes is detailed in the product content description: LiDAR HD Version 1.0 - Content Description It is broadcast in the form of 1kmx1km slabs and is available in steps of 50 centimeters. A 5m step version will also be available soon. The digital models are composed of a rectangular grid, each node of which has an altitude. At a node of the grid corresponds a column number and a line number (c,l), two-dimensional coordinates (X,Y) and an altitude Z expressed in meters. The X and Y coordinates associated with the nodes of the numerical models are integer metric values in projection. These grids are written and provided in image format (.tif) Digital models from LiDAR HD are subject to restrictions on ZICADs (No Aerial Data Capture Zones) for which the information is confidential. Data is not provided on these areas in accordance with current regulations (in this case, a nodata value is used). The IGN disseminates another digital field model data entitled RGE ALTI®: the MNT LiDAR HD foreshadows the new generation of soil repository proposed by the Institute... Join the community of users of LiDAR HD products! Fill in the contact form available in the links below to integrate it.

The product The product MNH LiDAR HD is the digital height model resulting from the altitude difference between MNT LiDAR HD and MNS LiDAR HD. These products are derived from the LiDAR HD point cloud resulting from the acquisition under the national LiDAR HD programme with a density of at least 10 pulses per m2 and 5 pulses per m2 above 3200 m altitude. This MNH LiDAR HD product must cover all of metropolitan France and DROMs (Departments and Overseas Regions except French Guiana) by 2026. You can follow the progress of the programme on the following link: acquisitionslidarhd - My IGN map and the progress of the availability of the digital height model data here: treatmentslidarhd - My IGN card The content of the product is detailed in the following content description: LiDAR HD Version 1.0 - Content description (ign.fr) It is broadcast in the form of slabs of 1kmx1km and is available in step of 50 centimeters and in GeoTiff format. A 5m step version will also be available soon. The X and Y coordinates associated with the nodes of the numerical models are integer metric values in projection. These grids are written and provided in image format (.tif) Digital models from the LiDAR HD programme are subject to restrictions on ZICADs (No Aerial Data Capture Zones) for which the information is confidential. Data is not provided on these areas in accordance with current regulations (in this case, a nodata value is used). Join the community of users of LiDAR HD products! Fill in the contact form available in the links below to integrate it.

I December 2016, CyArk in collaboration with the The United States Military Academy at West Point documented sites associated with the D-Day landings in Normandy. Terrestrial and aerial photogrammetry and LiDAR laser scanning were deployed to document the the beach point of resistance known as Widerstandsnest 62, The American Normandy Cemetery, and Pointe du Hoc. Pointe du Hoc is a promontory with a 100-foot cliff overlooking the English Channel on the northwestern coast of Normandy in the Calvados department, France. External Project Link: \N Additional Info Link:

Digital Model of Elevation MNE LIDAR 2014 (Department of Ain and Department of Haute Savoie) of French territory Grand Geneva

The study area corresponds to the perimeter of the Franco-Valdo-genevoise agglomeration and its immediate periphery, particularly at the head watershed level, in order to maintain overall coherence (2 000 km² in total Switzerland and France).

The project to acquire remote sensing data will be carried out on the perimeter of the agglomeration project on the French side (1 400 km²), which concerns two departments in the Rhône-Alpes region: the department of Ain and the Haute Savoie department will come to aggregate with the Swiss data. Data include the Digital Elevation Model (MNE) with 50 cm resolution from classified LIDAR points (sursol class)

At least 116 municipalities are involved in 9 communities of municipalities: CC of Gex Country, CC Beaugardian Basin, CC. Geneva, CC Arve and Salève, CC Pays Rochois, CC. Faucigny-Glières, CC Bas Chablais, CC. Hills of Leman, CA.Annemasse Agglo and the commune of Thonon les Bains

These files are made available by the Department of Ain and are free of use and right, subject to the following logos: the Department of Ain, the Canton of Geneva, Europe INTERREG IV France Switzerland, the Agence de l’Eau Rhône Méditerranée Corse and the department of Haute Savoie. The Act of Commitment and the logos of the partners are available on the link “Internet Address (URL)” of the fiche. The undertaking must be completed, signed and sent to the Observatory and Geomatics Service of the Departmental Council of Ain (CD 01) (contact details of the metadata).

Original data files from ALC measurements at Paris–Meudon.

Part 1 of 3.

The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. This dataset contains backscatter, air temperature and air pressure measurements. Temperature and pressure reference to the NIMES radiosonde.

The Europe LiDAR market report segments the industry into By Product (Aerial LiDAR, Ground-based LiDAR), By Component (GPS, Laser Scanners, Inertial Measurement Unit, Other Components), By End-user Industry (Engineering, Automotive, Industrial, Aerospace and Defense), and By Country (United Kingdom, Germany, Spain, Netherlands, France, Belgium, Rest of Europe). Get five years of historical data alongside five-year market forecasts.

Orthophotographs 2014 colour of the French territory of Greater Geneva linked to the acquisition of LIDAR data 2014 (Department of Ain and Department of Haute Savoie)

The study area corresponds to the perimeter of the Franco-Valdo-genevoise agglomeration and its immediate periphery, particularly at the head watershed level, in order to maintain overall coherence (2 000 km² in total Switzerland and France). The project to acquire remote sensing data (MNT and MNE) will be carried out on the perimeter of the agglomeration project on the French side (1 400 km²), which concerns two departments in the Rhône-Alpes region: the department of Ain and the Haute Savoie department will come to aggregate with the Swiss data. At least 116 municipalities are involved in 9 communities of municipalities: CC of Gex Country, CC Beaugardian Basin, CC. Geneva, CC Arve and Salève, CC Pays Rochois, CC. Faucigny-Glières, CC Bas Chablais, CC. Hills of Leman, CA.Annemasse Agglo and the commune of Thonon les Bains

These files are made available by the Department of Ain and are free of use and right, subject to the following logos: the Department of Ain, the Canton of Geneva, Europe INTERREG IV France Switzerland, the Agence de l’Eau Rhône Méditerranée Corse and the department of Haute Savoie. The Act of Commitment and the logos of the partners are available on the link “Internet Address (URL)” of the fiche. The undertaking must be completed, signed and sent to the Observatory and Geomatics Service of the Departmental Council of Ain (CD 01) (contact details of the metadata).

The airborne data comprises laser elevation data acquired during an airborne geophysical survey over French Guiana in 1996. The study area, located along the coast in the south of Cayenne in French Guiana, measures 45 km x 55 km. The area is characterized by virgin forest and savannah. Most of the area is flat or slightly undulating, with elevation ranging from 0 to about 400 m above sea level. (e.g. Kaw mountain).

Maps of forest height, aboveground biomass (AGB)* and volume (VOL)* at 10 m spatial resolution for the year 2020 on France.

* AGB and Volume maps are available on request.

The methodology and validation of the maps are presented here: https://hal.science/hal-04249151

Please cite :

David Morin, Milena Planells, Stéphane Mermoz, Florian Mouret. Estimation of forest height and biomass from open-access multi-sensor satellite imagery and GEDI Lidar data: high-resolution maps of metropolitan France. 2023. hal-04249151

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Light Detection And Ranging Market Size 2025-2029

The light detection and ranging (LiDAR) market size is forecast to increase by USD 8.23 billion, at a CAGR of 29.1% between 2024 and 2029.

The market is experiencing significant growth, driven by the expanding application areas of LiDAR technology. This technology, which uses laser light to measure distances, is finding increasing use in various industries, including automotive, forestry, and construction, due to its ability to generate precise 3D maps and models. This technology offers advantages such as higher resolution and longer range compared to traditional time-of-flight LiDAR sensors. However, the high cost of LiDAR sensors remains a significant challenge for market growth. These sensors are integrated into a range of applications, from aerial surveying and remote sensing to obstacle avoidance and autonomous vehicles.
Companies seeking to capitalize on the opportunities presented by the LiDAR market must focus on reducing costs through technological advancements and economies of scale. Additionally, collaboration and partnerships with other industry players can help spread the development and implementation costs. Navigating this challenge effectively will be crucial for companies looking to establish a competitive edge in the LiDAR market. Pricing and strategic planning are crucial elements of the Lidar market, with big data and cloud computing facilitating efficient data management and analysis. The high upfront investment required for these sensors can limit their adoption, particularly in price-sensitive industries.

What will be the Size of the Light Detection And Ranging (LiDAR) Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Lidar market continues to evolve, driven by the increasing demand for advanced sensing technologies across various sectors. Lidar sensors, which utilize light detection and ranging to measure distances and create high-resolution 3D models, are at the forefront of this dynamic market. The integration of IMU (inertial measurement unit) systems, noise reduction techniques, and data acquisition technologies enhances Lidar's spatiotemporal resolution, enabling more precise depth sensing and object detection. Furthermore, machine learning and AI algorithms are employed to analyze vast amounts of data, extract features, and interpret results in real-time. A key trend in the market is the development of LiDAR sensors based on continuous-wave frequency modulation (CWFM) technology.

Predictive modeling, high-resolution imaging, and data analytics are crucial components of Lidar systems, allowing for accurate environmental monitoring and traffic management. Safety standards are rigorously upheld, ensuring reliable and secure data processing, storage, and transmission. Lidar's applications extend to precision agriculture, where it aids in crop yield optimization and soil analysis. Additionally, its integration with GPS and software algorithms enables real-time data processing and scanning frequency adjustments. Market penetration is further facilitated by the ongoing development of 3D modeling, digital twinning, and point cloud processing technologies. These advancements enable the creation of detailed, interactive digital representations of physical environments, enhancing their utility across various industries.

In summary, the Lidar market is characterized by continuous innovation and integration of various technologies, including IMU, noise reduction, data acquisition, data visualization, deep learning, AI algorithms, and safety standards. These advancements facilitate Lidar's applications in aerial surveying, remote sensing, obstacle avoidance, autonomous vehicles, precision agriculture, and environmental monitoring, among others. The market's ongoing dynamism is driven by the need for high-resolution, real-time data processing and analysis, ensuring the efficient and effective integration of Lidar systems into various industries.

How is this Light Detection And Ranging (LiDAR) Industry segmented?

The light detection and ranging (LiDAR) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Corridor mapping
  Engineering
  ADAS and driverless cars
  Environment
  Others


Product

  Airborne LiDAR
  Terrestrial LiDAR


Component

  Laser scanners
  Navigation systems
  Positioning systems
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Application Insights

This Aerial Laser Scanning (ALS) campaign was conducted in November 2022. The ALS data corresponding to plots FG5c1, FG6c2, FG8c4 and IRD-CNES also scanned by Terrestrial LiDAR Scanning (TLS) in October or November 2022 as part of the ForestScan Project are provided in four separate laz files.

The covered area: 3*2.16 ha + 1*1.44 ha; Pulse density: ~200 m2; Scanner type: VQ 780II RIEGL; Scanner wavelength: 1064 nm; Beam divergence: <=0.25 mrad (1/e2); Vehicle: Airplane BN2; Operator: Altoa. Acquisition parameters: swath angle: +/-20 degrees; PRR (channel type): ~ 1000 kHz; Ground footprint size of pulse: ~0.16 m; Flight height: 650m terrain follow mode (AGL); Acquisition mode: Full waveform, RGB camera on board but no orthomosaïc made.