lidar - thomaspingel/advanced_remote_sensing GitHub Wiki
Getting Data
- National Map
- USGS Lidar Explorer Map
- USGS direct download
- NOAA Lidar
- OpenTopography - https://portal.opentopography.org/datasets. Create a free account using your university ID.
To Add:
Getting Started
Lidar is a laser scanning technology used to create 3D models of both interior and exterior spaces. The laser scanners themselves can be flown on an aerial platform such as an airplane or helicopter (ALS), mounted on a drone (DLS), mounted on tripods for terrestrial use (TLS), or mounted on another mobile system like a backpack (MLS). The outputs of such systems are called point clouds, which usually consist of millions or billions of irregular individual points along the surfaces of the study area. Point clouds are often processed to create 3D meshes, which are "solid" digital models. Aerial lidar data generally has a resolution of 5-15 points per square meter, while terrestrial scanners may produce hundreds or thousands of points per square meter. Lidar data is generally distributed as binary LAS files or compressed versions called LAZ files. There are many alternative formats as well, some using simple CSV-style encoding. Lidar data will always include the 3D positions of each point (x,y,z) but may also contain much additional ancillary information, including the intensity of the return, a color value, and a number of other attributes.
To get started learning about lidar the following resources may be helpful:
- Pingel delivers three lectures on lidar in GEOG 4404 (Geovisualization)
- The USGS publishes a viewer of terrain / lidar data at https://apps.nationalmap.gov/3depdem/
- NOAA has a great introductory video on lidar that takes about an hour to watch.
- CNRE's own John McGee has an Online Tutorial Series on Lidar and Drones
- Virginia's complete lidar dataset is available online, and individual tiles and be downloaded. All US data is available via the National Map.
- When getting started, it may be easiest to use the open-source software CloudCompare. Dr. Pingel an introductory video, as well as a number of additional tutorials to support learning various operations.
- We also do a fair bit of work in lidar visualization and processing with Python / laspy / neilpy, lastools, PDAL, Potree, and ArcGIS Pro.
- A very exciting new development is that all US lidar data is now hosted via Microsoft's Planetary Computer. Please see this example notebook for how to access and use the data.
Hardware
There are a wide variety of lidar sensors available. Our group tends to focus on smaller, inexpensive mobile units like:
- Ouster [workshop]
- Velodyne
- Intel RealSense L515
- Blickfeld
- Livox
- https://e38surveysolutions.com/products/resepi-hesai-xt-32-drone-lidar
This information needs to be sorted!
Software
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Primary
-
Other
- Telesculptor
- R packages such as lidR and rlas
-
Background
- Briese. 2010. Extraction of Digital Terrain Models. [archive].
- CloudCompare. Cloth Simulation Filter.
- Lidar360
- PointNet++
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Data
State Lidar Portals
ME | ||||||||||
MN | VT | NH | ||||||||
WA | ID | MT | ND | WI | IL | MI | NY | MA | ||
OR | NV | WY | SD | IA | IN | OH | PA | NJ | CT | RI |
CA | UT | CO | NE | MO | KY | WV | VA | MD | DE | |
AZ | NM | KS | AR | TN | NC | SC | ||||
OK | LA | MS | AL | GA | ||||||
HI | AK | TX | FL |
Mobile lidar units
- https://www.geosunlidar.com/sale-13559422-short-range-130m-detection-0-96km2-dji-drone-lidar.html
- https://www.foxtechfpv.com/foxtech-slam100-handheld-laser-scanner.html
Ice-Sat 2
- https://www.youtube.com/watch?v=Dj_5QDVaOEI
- https://openaltimetry.org/data/icesat2/
- https://observer.globe.gov/news-events-and-people/news/-/obsnewsdetail/19589576/tree-height-clouds-and-icesat-2-an-example-of-the-importance-of-taking-multiple-observations-at-the-same-time-and-same-place
Popular Press Articles
- This North Carolina boulder carved a satisfying track as it slid downhill, and you can see it with lidar imagery
- How to clear mines using UAV LiDAR
FAQ
- How many ground points does it take to make a DTM?
- How do you make a profile and download LAS data in Potree
References
- Sithole and Vosselman. 2004. Experimental Comparison of Filter Algorithms for Bare-Earth Extraction from Airborne Laser Scanning Point Clouds. [archive]
- Meng et al. 2010. Ground Filtering Algorithms for Airborne LiDAR Data - A Review of Critical Issues. [archive]
- Pingel et al. 2013. An Improved Simple Morphological Filter for the Terrain Classification of Airborne LiDAR Data. [archive]
- Abdeldayem. 2019. Automatic Weighted Splines Filter (AWSF): A New Algorithm for Extracting Terrain Measurements From Raw LiDAR Point Clouds.
- Axelsson. 1999. Processing of Laser Scanner Data - Algorithms and Applications.
- Axelsson. 2000. DEM Generation from Laser Scanner Data Using Adaptive TIN Models.
- Butler et al. 2021. PDAL: An open source library for the processing and analysis of point clouds.
- Casana et al. 2021. Exploring archaeological landscapes using drone-acquired lidar: Case studies from Hawai’i, Colorado, and New Hampshire, USA.
- Ćmielewski et al. 2021. UAV LiDAR Mapping in the Historic Sanctuary of Machupicchu: Challenges and Preliminary Results: Part 1. [archive]
- Jin et al. 2020. A point-based fully CNN for airborne lidar ground point filtering in forested environments. [data]
- Krishnan et al. 2011. OpenTopography: a services oriented architecture for community access to LIDAR topography.
- Kreylos et al. 2008. Immersive Visualization and Analysis of LiDAR Data. [Academia.edu]
- Ozcan et al. 2018. Ground filtering and DTM generation from DSM data using probabilistic voting and segmentation.
- Prathap et al. 2019. Ground and Non-Ground Separation Filter for UAV Lidar Point Cloud.
- Song et al. 2022. 2D&3DHNet for 3D Object Classification in LiDAR Point Cloud.
- Yilmaz. 2021. Automated ground filtering of LiDAR and UAS point clouds with metaheuristics.
- Zhang et al. 2016. An easy-to-use airborne lidar filtering method based on cloth simulation.
- Zhao et al. 2016. Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas.