Aerial Lidar Mapping Solutions Market Outlook

The global aerial LiDAR mapping solutions market size was valued at approximately USD 1.25 billion in 2023 and is projected to grow to USD 4.50 billion by 2032, at a compound annual growth rate (CAGR) of 15.2%. This robust growth trajectory is primarily driven by the increasing demand for precise geospatial data and advancements in technology that have made LiDAR systems more efficient and affordable. Another significant growth factor is the expanding application of LiDAR technology across various industries, from forestry and agriculture to infrastructure and environmental monitoring, as these sectors seek more accurate and efficient mapping solutions.

One of the primary growth drivers for the aerial LiDAR mapping solutions market is the rising adoption of advanced technologies such as drones and unmanned aerial vehicles (UAVs). These platforms enable rapid and flexible data collection over large areas, significantly reducing the time and cost associated with traditional mapping methods. Additionally, the integration of artificial intelligence (AI) and machine learning algorithms into LiDAR systems enhances data processing capabilities, allowing for more accurate and comprehensive analysis. This technological evolution is making LiDAR increasingly indispensable for sectors that require high-precision mapping and data collection.

Another compelling factor contributing to market growth is the increasing need for disaster management and environmental monitoring. Governments and organizations worldwide are recognizing the importance of real-time data for effective disaster response and environmental conservation efforts. LiDAR technology provides detailed topographical information that is crucial for predicting natural disasters like floods and landslides, as well as for monitoring changes in forests, water bodies, and urban areas. This growing awareness and adoption in environmental applications are expected to drive significant demand for aerial LiDAR mapping solutions.

Furthermore, the burgeoning infrastructure sector is set to propel market growth substantially. As urbanization accelerates globally, there is a heightened need for detailed and accurate mapping of infrastructure projects. LiDAR technologies are increasingly being utilized to survey and map construction sites, roadways, and rail systems with unmatched precision, enabling better planning and execution. This is especially critical in smart city initiatives where accurate geospatial data is fundamental for planning efficient infrastructure and public services. Thus, the infrastructure boom is likely to be a key driver for the aerial LiDAR mapping solutions market through 2032.

The integration of UAV Surveying Laser Lidar technology is transforming the landscape of aerial mapping by enhancing the precision and efficiency of data collection. UAVs equipped with laser lidar systems can capture high-resolution topographical data with remarkable accuracy, even in challenging terrains. This capability is particularly beneficial for applications in forestry, agriculture, and infrastructure, where detailed spatial information is crucial. The use of UAVs for surveying not only reduces operational costs but also minimizes the environmental impact compared to traditional methods. As industries continue to recognize the advantages of UAV Surveying Laser Lidar, its adoption is expected to grow, further driving the demand for advanced aerial mapping solutions.

Regionally, North America is expected to dominate the aerial LiDAR mapping solutions market over the forecast period. This can be attributed to the region's early adoption of advanced technologies, substantial investments in disaster management and environmental monitoring, and the presence of key market players. Additionally, the Asia Pacific region is anticipated to exhibit the highest growth rate, driven by rapid urbanization, infrastructural developments, and increasing governmental initiatives to adopt advanced geospatial technologies. Europe and Latin America are also expected to witness substantial growth, spurred by the rising use of LiDAR in forestry, agriculture, and urban planning initiatives.

Component Analysis

The aerial LiDAR mapping solutions market is segmented into hardware, software, and services. The hardware segment encompasses LiDAR sensors, GPS units, and inertial measurement units (IMUs), which are essential for capturing accurate geospatial data. Advances in sensor

The Aerial LiDAR Mapping Solutions market is experiencing robust growth, driven by increasing demand for high-accuracy geospatial data across diverse sectors. Applications span infrastructure development (precise surveying for roads, bridges, and pipelines), precision agriculture (optimizing crop yields through detailed terrain analysis), environmental monitoring (mapping deforestation, floodplains, and coastal erosion), and autonomous vehicle development (creating highly detailed 3D maps for navigation). Technological advancements, such as the integration of advanced sensors and improved processing capabilities, are further accelerating market expansion. The market's competitive landscape is characterized by a mix of established players and emerging technology companies, each vying for market share through innovation and strategic partnerships. We estimate the current market size to be around $2.5 billion in 2025, projecting a Compound Annual Growth Rate (CAGR) of 12% through 2033, leading to a market valuation exceeding $7 billion by the end of the forecast period. This growth is largely attributed to the increasing adoption of LiDAR technology across various industries and geographic regions. Market restraints primarily include the high initial investment costs associated with LiDAR equipment and the need for specialized expertise in data processing and interpretation. However, ongoing technological advancements are leading to more cost-effective solutions and easier-to-use software, mitigating these challenges. Furthermore, the rising availability of cloud-based data processing solutions is reducing the reliance on expensive in-house infrastructure. Segmentation within the market is driven by application type (infrastructure, agriculture, environmental, etc.), sensor type, and geographic location. Key players, including Kokusai Kogyo, Pasco, Asia Air Survey Co., Ltd., Zenrin, and others, are continuously developing innovative solutions and expanding their service offerings to cater to the growing demand. The North American and European markets currently hold significant market share, but emerging economies in Asia-Pacific are demonstrating rapid growth potential, fueled by infrastructure development projects and increasing government investments in geospatial technologies.

The EarthScope Northern California Lidar project acquired high resolution airborne laser swath mapping imagery along major active faults as part of the EarthScope Facility project funded by the National Science Foundation (NSF). Between this project and the previously conducted B4 project, also funded by NSF, the entire San Andreas fault system has now been imaged with high resolution airborne lidar, along with many other important geologic features. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (http://www.ncalm.org). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).

This record is for Approval for Access product AfA439. A habitat map derived from airborne data, specifically CASI (Compact Airborne Spectrographic Imager) and LIDAR (Light Detection and Ranging) data.

The habitat map is a polygon shapefile showing site relevant habitat classes. Geographical coverage is incomplete because of limits in data available. It includes those areas where the Environment Agency, Natural England and the Regional Coastal Monitoring Programme have carried out sufficient aerial and ground surveys in England.

The habitat map is derived from CASI multispectral data, LIDAR elevation data and other GIS products. The classification uses ground data from sites collected near to the time of CASI capture. We use ground data to identify the characteristics of the different habitats in the CASI and LIDAR data. These characteristics are then used to classify the remaining areas into one of the different habitats.

Habitat maps generated by Geomatics are often derived using multiple data sources (e.g. CASI, LIDAR and OS-base mapping data), which may or may not have been captured coincidentally. In instances where datasets are not coincidentally captured there may be some errors brought about by seasonal, developmental or anthropological change in the habitat.

The collection of ground data used in the classification has some limitations. It has not been collected at the same time as CASI or LIDAR capture; it is normally within a couple of months of CASI capture. Some variations between the CASI data and situation on site at the time of ground data collection are possible. A good spatial coverage of ground data around the site is recommended, although not always practically achievable. For a class to be mapped on site there must have been samples collected for it on site. If the class is not seen on site or samples are not collected for a class, it cannot be mapped.

No quantitative accuracy assessment has been carried out on the habitat map, although the classification was trained using ground data and the final habitat map has been critically evaluated using Aerial Photography captured simultaneously with the CASI data by the processors and independently by habitat specialists. Please note that this content contains Ordnance Survey data © Crown copyright and database right [2014] and you must ensure that a similar attribution statement is contained in any sub-licences of the Information that you grant, together with a requirement that any further sub-licences do the same.

This is a seamless bare earth digital elevation model (DEM) created from lidar terrain elevation data for the Commonwealth of Massachusetts. It represents the elevation of the surface with vegetation and structures removed. The spatial resolution of the map is 1 meter. The elevation of each 1-meter square cell was linearly interpolated from classified lidar-derived point data.This version of the DEM stores the elevation values as integers. The native VALUE field represents the elevation above/below sea level in meters. MassGIS added a FEET field to the VAT (value attribute table) to store the elevation in feet as calculated by multiplying VALUE x 3.28084.Dates of lidar data used in this DEM range from 2010-2015. The overlapping lidar projects were adjusted to the same projection and datum and then mosaicked, with the most recent data replacing any older data. Several very small gaps between the project areas were patched with older lidar data where necessary or with models from recent aerial photo acquisitions. See https://www.mass.gov/doc/lidar-project-areas-original/download for an index map.This DEM is referenced to the WGS_1984_Web_Mercator_Auxiliary_Sphere spatial reference.See the MassGIS datalayer page to download the data as a file geodatabase raster dataset.View this service in the Massachusetts Elevation Finder.

The Download Tool is available through CT ECO, a partnership between UConn CLEAR and CT DEEP. The tool provides easy download access to aerial imagery and lidar elevation collected during multiple flights.

LiDAR (Light Detection and Ranging) is a remote sensing technology, i.e. the technology is not in direct contact with what is being measured. From satellite, aeroplane or helicopter, a LiDAR system sends a light pulse to the ground. This pulse hits the ground and returns back to a sensor on the system. The time is recorded to measure how long it takes for this light to return. Knowing this time measurement scientists are able to create topography maps.LiDAR data are collected as points (X,Y,Z (x & y coordinates) and z (height)). The data is then converted into gridded (GeoTIFF) data to create a Digital Terrain Model and Digital Surface Model of the earth. This LiDAR data was collected in 2011.This data shows the areas in Ireland for which you can download LiDAR data and contains links to download the data. This is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).The LiDAR coverage is shown as polygons. Each polygon is 2000m by 2000m in size and holds information on: the location, data provider, owner, licence, published date, capture date, surveyor, RMS error, resolution and a link to download the LiDAR raster data in 2000m by 2000m sections.

Mapping Lidar Laser Market Outlook

The global market size for Mapping Lidar Laser in 2023 is estimated to be around USD 2.3 billion, and it is projected to reach approximately USD 7.1 billion by 2032, growing at a CAGR of 13.2% during the forecast period. This growth trajectory is driven by the expanding adoption of Lidar technology in various industries such as construction, transportation, and environmental monitoring, as well as technological advancements and the increasing need for precise geospatial measurements.

One of the primary growth factors in the Mapping Lidar Laser market is the rise in infrastructure development activities globally. Governments and private sectors are heavily investing in smart city projects, which require advanced mapping technologies for urban planning and development. Lidar technology, with its high accuracy and rapid data collection capabilities, is becoming indispensable for creating detailed 3D maps and models. Additionally, the increasing demand for autonomous vehicles, which rely heavily on Lidar systems for navigation and safety, is further propelling the market growth.

Furthermore, the need for efficient corridor mapping and aerial surveying has been driving the market. Lidar technology offers precise topographical data, which is crucial for planning transportation routes, such as highways and railway lines. This technology is also being extensively adopted in the forestry and agriculture sectors for vegetation analysis and land use planning. The ability of Lidar to penetrate through foliage and provide detailed ground surface models makes it a valuable tool in these industries.

Technological advancements in Lidar systems are also contributing significantly to market growth. The development of compact, lightweight, and cost-effective Lidar sensors has made the technology more accessible to a broader range of applications. Innovations such as solid-state Lidar and advancements in data processing algorithms have improved the performance and reduced the costs of Lidar systems, making them an attractive option for various industries. This continuous evolution in technology is expected to sustain the market's growth momentum over the forecast period.

Light Detection and Ranging Devices, commonly known as Lidar, have revolutionized the way we perceive and interact with our environment. These devices utilize laser pulses to measure distances with high precision, creating detailed three-dimensional maps of the surroundings. The ability of Lidar to provide accurate and real-time data has made it an essential tool in various industries, from urban planning to autonomous vehicles. As the technology continues to advance, the integration of Lidar into everyday applications is becoming more seamless, enhancing our ability to monitor and manage complex systems. The growing demand for such devices underscores their critical role in driving innovation and efficiency across multiple sectors.

Regionally, North America is expected to dominate the Mapping Lidar Laser market due to the early adoption of advanced technologies and significant investments in infrastructure projects. The presence of major Lidar system manufacturers and the increasing use of Lidar in autonomous vehicles and environmental monitoring are driving the market in this region. Meanwhile, the Asia Pacific region is projected to witness the highest growth rate due to rapid urbanization, infrastructure development, and the adoption of smart city initiatives by countries such as China and India.

Component Analysis

The Mapping Lidar Laser market by component is segmented into hardware, software, and services. The hardware segment includes Lidar sensors, GPS systems, and IMUs (Inertial Measurement Units). This segment currently holds the largest market share due to the essential role of hardware components in Lidar systems. Continuous innovations in sensor technology, such as the development of solid-state Lidar, are enhancing the performance and reducing the costs of these systems, thereby driving market growth.

Software components are also crucial for the efficient processing and analysis of Lidar data. This segment is expected to grow significantly due to the increasing need for sophisticated data processing algorithms and visualization tools. Software advancements are enabling more accurate and faster data interpretation, which is essential for applications like urban planning and environme

This metadata record describes the topographic mapping of Harrison County, Mississippi in March of 2004. Products generated include lidar point clouds in .LAS format and lidar bare-earth elevation models in .LAS format using lidar collected with a Leica ALS-40 Aerial Lidar Sensor.

Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email:...

The LiDAR in Mapping market is experiencing robust growth, driven by increasing demand for high-precision mapping solutions across various sectors. The market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. The automotive industry's push for autonomous vehicles necessitates detailed and accurate 3D maps, boosting the adoption of LiDAR technology. Similarly, the infrastructure development and construction sectors are leveraging LiDAR for precise surveying and modeling, leading to increased efficiency and cost savings. Furthermore, advancements in LiDAR sensor technology, such as the development of smaller, lighter, and more cost-effective sensors, are expanding its applicability across diverse mapping applications. The increasing availability of high-performance computing and data processing capabilities further enhances the value proposition of LiDAR in mapping. The market is segmented by LiDAR type (solid-state and mechanical) and application (mobile mapping, aerial mapping, and others). Solid-state LiDAR is gaining traction due to its improved reliability and reduced maintenance costs. Mobile mapping currently holds the largest market share, with aerial mapping experiencing steady growth driven by advancements in drone technology and the rising adoption of UAVs. The geographical distribution of the LiDAR in Mapping market is spread across various regions, with North America and Europe currently leading the market due to established infrastructure and high technology adoption rates. However, the Asia-Pacific region is poised for significant growth, propelled by rapid urbanization and increasing investments in infrastructure projects. Key players in the LiDAR in Mapping market are continually innovating to enhance sensor capabilities and develop advanced data processing algorithms. This intense competition drives market growth and fuels the development of sophisticated mapping solutions. The challenges include high initial investment costs for LiDAR systems and the need for skilled professionals for data processing and interpretation, which can potentially hinder adoption in certain regions. Nevertheless, the overall market outlook for LiDAR in Mapping remains exceptionally positive, promising substantial growth and transformative applications across diverse industries in the coming years. This report provides an in-depth analysis of the burgeoning LiDAR in mapping market, projected to reach $25 billion by 2030. We delve into key trends, regional dominance, competitive landscapes, and future growth projections, offering invaluable insights for investors, industry players, and researchers. This analysis covers the global market, focusing on technological advancements, regulatory impacts, and emerging applications across various sectors. Search terms include: LiDAR mapping, 3D mapping, point cloud data, autonomous vehicles, aerial LiDAR, mobile LiDAR, solid-state LiDAR, LiDAR sensor, GIS data, surveying.

USGS task order 140G0218F0420 required Winter, 2018/Spring, 2019 LiDAR surveys to be collected over 32,562 square miles covering part or all of 82 counties in Georgia and 3 partial counties in South Carolina in support of the State of Georgia and the USGS 3DEP program. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS...

The global navigation map market is experiencing robust growth, driven by increasing adoption of location-based services across various sectors. Our analysis projects a market size of $15 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. The automotive industry's reliance on advanced driver-assistance systems (ADAS) and autonomous vehicles is a primary driver, demanding high-precision and regularly updated map data. Furthermore, the proliferation of mobile devices with integrated GPS and mapping applications continues to stimulate market growth. The burgeoning enterprise solutions segment, utilizing navigation maps for logistics, fleet management, and delivery optimization, contributes significantly to overall market value. Government and public sector initiatives promoting smart cities and infrastructure development further fuel demand. Technological advancements, such as the integration of LiDAR and improved GIS data, enhance map accuracy and functionality, attracting more users and driving market expansion. The market segmentation reveals substantial contributions from various application areas. The automotive segment is projected to maintain its dominance throughout the forecast period, followed closely by the mobile devices and enterprise solutions segments. Within the type segment, GIS data holds a significant market share due to its versatility and application across various sectors. However, LiDAR data is experiencing rapid growth, driven by its high precision and suitability for autonomous driving applications. Geographic regional analysis indicates strong market presence in North America and Europe, primarily driven by advanced technological infrastructure and high adoption rates. However, the Asia-Pacific region is poised for substantial growth, fueled by rapid urbanization, increasing smartphone penetration, and government investments in infrastructure development. Competitive landscape analysis reveals a blend of established players and emerging technology companies, signifying an increasingly dynamic and innovative market environment.

A collection of maps to showcase what's available and on its way in the Bay of Plenty in relation to aerial imagery and LiDAR. Includes:Aerial Imagery CollectionsPlanned Imagery CaptureHistoric Imagery Photo CentresLiDAR Collections

The global digital mapping aerial photography market is experiencing robust growth, driven by increasing demand for high-resolution imagery across diverse sectors. The market size in 2025 is estimated at $2.5 billion, projecting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This expansion is fueled by several key factors. The surge in the adoption of unmanned aerial vehicles (UAVs or drones) for data acquisition offers cost-effective and efficient solutions compared to traditional manned aircraft. Furthermore, advancements in sensor technology, such as the development of higher-resolution cameras and LiDAR systems, are enabling the creation of more detailed and accurate maps. The increasing need for precise geospatial data in various applications, including urban planning, infrastructure development, precision agriculture, and environmental monitoring, significantly contributes to market growth. Government initiatives promoting the use of geospatial technologies and the growing adoption of cloud-based platforms for data processing and analysis also play crucial roles. However, several restraints influence market growth. High initial investment costs associated with acquiring advanced aerial photography equipment and specialized software can be a barrier to entry for smaller companies. Data processing and analysis can be complex and time-consuming, requiring skilled personnel and sophisticated software. Moreover, regulatory hurdles and safety concerns related to UAV operations in certain regions can hinder market expansion. Despite these challenges, the market's growth trajectory remains positive, with significant opportunities for players focusing on innovative solutions and expanding into new applications and geographical markets. Segmentation reveals strong growth across both linear and area array sensors, with the unmanned aircraft segment leading the charge due to its cost-effectiveness and flexibility.

Airborne LiDAR Market size was valued at USD 1.35 Billion in 2023 and is projected to reach USD 4.05 Billion by 2030, growing at a CAGR of 17% during the forecast period 2024-2030.

Global Airborne LiDAR Market Drivers

The market drivers for the Airborne LiDAR Market can be influenced by various factors. These may include:

Infrastructure Development and Urban Planning: Projects involving infrastructure development, urban planning campaigns, and the requirement for precise topographic data are the main drivers of the need for precise and comprehensive geospatial data. For such initiatives, the collection of high-resolution data is greatly aided by the use of airborne LiDAR. Increased Use in Agriculture and Forestry: Airborne LiDAR is used for agricultural landscape assessment, vegetation health monitoring, and forestry management. The system facilitates decision-making by offering comprehensive three-dimensional information on crop health, tree canopy structure, and terrain. Effective Disaster Response and Management: To swiftly evaluate and model impacted areas, airborne LiDAR is utilized in disaster response and management. Accurate mapping of changing topography, hazard detection, and emergency response activity planning are made possible by it. Applications for Surveying and Mapping: Airborne LiDAR is extensively used in surveying and mapping because it provides quick and accurate data collection for cadastral mapping, terrain modelling, and other geospatial applications. The accuracy and efficiency of surveying procedures are improved by technology. Developments in LiDAR Sensor Technology: The market for aerial LiDAR is expanding as a result of continuous developments in LiDAR sensor technology, which include the creation of lightweight, high-resolution sensors. More precise and comprehensive data collection is made possible by enhanced sensor capabilities. Demand for 3D Modelling and Visualization: The adoption of aerial LiDAR is propelled by the need for 3D modelling and visualization across a range of industries, such as environmental monitoring, urban planning, and geographic mapping. It makes it possible to create intricate 3D models of buildings and landscapes. Crop monitoring and Precision Agriculture: Airborne LiDAR technology is beneficial to agriculture in the context of precision agriculture applications. LiDAR data provides comprehensive information on terrain, vegetation, and soil conditions, which helps with crop monitoring, yield estimation, and farming practice optimization. Environmental Monitoring and Conservation: Efforts to monitor and conserve the environment make use of aerial LiDAR. By giving precise spatial data, it supports conservation efforts, helps evaluate changes in ecosystems, and monitors wildlife habitats. Demand for LiDAR in driverless cars: The advancement of advanced driver-assistance systems (ADAS) and driverless cars is one factor driving the need for LiDAR technology. For navigation and obstacle detection, precise and current maps can be made using airborne LiDAR data. Natural Resource Management: By offering comprehensive data on terrain, waterways, and forests, airborne LiDAR aids in the management of natural resources. Planning sustainably, analyzing wildlife habitats, and keeping an eye on the health of ecosystems can all benefit from this data. Government rules and laws: The use of aerial LiDAR technology is influenced by government rules and laws pertaining to mapping standards, geospatial data, and mapping. Adherence to guidelines established by governmental entities promotes the utilization of LiDAR in diverse contexts. Growing Need for LiDAR in Construction: Topographic surveys, terrain modelling, and construction site planning are all done by the construction sector using aerial LiDAR. LiDAR's precise and up-to-date data improves construction procedures and reduces problems.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

LiDAR (Light Detection and Ranging) data of the City of Vancouver and UBC Endowment Lands with an Area of Interest (AOI) covering a total of 134 square kilometers.​Data products includes a classification that defines "bare earth" ground surface, water and of the upper most surface defined by vegetation cover, buildings and other structures.Data accessEach of the 181 polygons on the map or rows in the table provides corresponding link to the data in LAS format (zipped, file sizes range from 16.45MB to 2.74GB).AttributesPoint data was classified as:Unclassified;Bare-earth and low grass;Low vegetation (height <2m);High vegetation (height >2m);Water;Buildings;Other; andNoise (noise points, blunders, outliners, etc) Note​The 2022 LiDAR data is being utilized for initiatives including land management, planning, hazard assessment, (e.g. floods, landslides, lava flows, and tsunamis), urban forestry, storm drainage, and watershed analysis. Data currency​Aerial LiDAR was acquired on September 7th and September 9th, 2022 and is current as of those dates. Data accuracyThe LiDAR data is positioned with a mean density of approximately 49 points per square metreSidelap: minimum of 60% in north-south and east-west directionsVertical accuracy: 0.081 metre (95% confidence level)Coordinate system​The map of grid cells on this portal is in WGS 84 but the LiDAR data in the LAS files are in the following coordinate system:Projection: UTM Zone 10 (Central Meridian 123 West)Hz Datum: NAD 83 (CSRS) 4.0.0.BC.1.GVRDVertical Datum: CGVD28GVRDMetro Vancouver Geoid (HTMVBC00_Abbbyn.zip) Websites for further information City boundary dataset

The data set consists of color infrared orthophotography (TerrainVision® - High resolution Topographic Mapping & Aerial Photography, with 6-inch pixel resolution), lidar elevation returns (raw/combined, filtered to bare ground/snow, and filtered to top of vegetation), elevation contours (0.5 meter) and snow depth contours (0.1 meter).

Classified Point Cloud -- USGS task order 140G0219F0277 required Winter 2019/Spring 2020 LiDAR surveys to be collected over 20,320 square miles covering part or all of 60 counties in Georgia and 5 counties in Alabama in support of the USGS 3DEP Program. Aerial LiDAR data for this task order was planned, acquired, processed, and produced at an aggregate nominal pulse spacing (ANPS) of less than...

lidaRtRee is an R package that provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al., 2015) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin, 2014); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al., 2020) and forest maturity mapping (Fuhr et al., 2022); model calibration with ground reference; maps export. It is available on CRAN. Tutorials are available in the documentation. lidaRtRee est un package R pour l'analyse de la structure des forêts à partir de données acquises par scanner laser (LiDAR) aéroporté : détection d'arbres (méthode 1 dans Eysn et al., 2015) et segmentation ; estimation de variables forestière et cartographie par approche surfacique. Il propose des fonctions additionnelles telles que : géoréférencement des données de terrain avec les données LiDAR (Monnet and Mermin, 2014); extraction de statistiques et d'objets (trouées, lisières, arbres) utilisables par exemple pour la modélisation d'habitat (Glad et al., 2020) et la cartographie de la maturité des forêts (Fuhr et al., 2022); calibration de modèles avec des données de terrrain ; production de cartes. Le package est disponible sur CRAN. Des tutoriels sont disponibles dans la documentation.