Working with LiDAR Data and FME

Liz Sanderson
Liz Sanderson
  • Updated

Introduction 

LiDAR is changing how we model our world in 3D, bringing with it new data transformation challenges and huge data volumes. For a high-level overview of how FME can help you with LiDAR, see our website.

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Content Overview 

LiDAR Terminology 

LiDAR stands for “Light Detection and Ranging”. This remote sensing technology can be mounted on aerial vehicles to send laser pulses to the Earth’s surface; once the laser returns to the sensor, it records the returned data. A LiDAR system usually comprises a laser, a scanner, a GPS receiver, an inertial measurement unit, and an onboard computer.

Point Cloud: commonly the product of a LiDAR system, it is a collection of points useful for storing large amounts of data. Each point in the point cloud can hold information, called components, that describe the point. Components may include X, Y, and Z coordinates as well as information about the intensity, color, time, and many more not listed here.

Returns: when a laser pulse bounces off an object, the system processes it to determine what it bounced off of. I.e., bare earth, trees, cars, buildings. These are called returns. Up to five returns can be captured per laser pulse. 

Classification: returns can be classified to define the type of object that has reflected the laser pulse. The American Society for Photogrammetry and Remote Sensing has developed standard classifications for LiDAR-derived data.

LAS: a common LiDAR Data Exchange Format that contains LiDAR point records. It is used to interchange 3-dimensional point cloud data. It has less volume and is more easily transferred than the ASCII format. 

Tutorials 

Getting Started Articles 

Getting Started with Point Clouds

Intermediate Articles 

Tutorial: Point Cloud Transformations

Advanced Articles

Before completing the following articles, be sure to work through the Getting Started Articles first.

Using LiDAR Waveform Attributes in FME

Point Clouds for Profiling and Slicing

Volume Measurements with the VolumeCalculator

Format Documentation 

ASPRS LiDAR Data Exchange Format (LAS) Reader/Writer

Point Cloud XYZ Reader/Writer

Point Cloud Data Reader/Writer

Space Delimited XYZ Reader

Cesium 3D Point Cloud Reader/Writer

CARIS Spatial Archive (CSAR) Point Cloud Reader/Writer

Top Questions and Answers

Generate simple trees from Point Cloud (LIDAR)

Question regarding thinning out point clouds

Additional Resources

Blogs:

Think like a point cloud: Tips for effective data processing 

Top 4 LiDAR and Point Cloud Processing Workflows

Presentations:

Wood vs Wings [FME World Tour 2020]

Templates:

LAS to PDF 3D (DEM and TIN)

Point Cloud XYZ to DEM 

PXT Point Cloud Reader

Videos:

How to generate DEMs and HIllshades from LiDAR files [4:36]

LiDAR Processing: How to thin, combine, and convert point cloud data [3:08]

Webinars:

5 Ways to Improve Your LiDAR Workflows [40:20]

Troubleshooting

Oracle Spatial Point Cloud Troubleshooting

Known Issues

For a list of Known Issues, see the following articles:

Known Issues in FME

Known Issues in Retired Versions of FME

Support

Can’t find what you are looking for? Search our Community for a related question or post your question in our Forums or contact Support.

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As of January 14th, 2026, comments on knowledge base articles have been closed. To make sure questions don’t get missed and to enable more community support, we’ve moved discussions to the FME Community. If you have a question or a comment about this article, please create a new post or create a support ticket.