LiDAR Data Processing

FME is the ultimate productivity software for LiDAR data. Use FME to process and integrate point clouds with the rest of your data.

Top Point Cloud Transformations with FME

Integrate LiDAR with Raster, GIS

On its own, LiDAR data has limited value. But when processed and combined with your other data it offers something amazing. And that's where FME comes in. FME lets you convert data in hundreds of formats and applications, including:

  • LAS, Autodesk ReCap, ASCII XYZ, Terrasolid TerraScan, ASTM E57, etc.
  • ECW, Shapefile, KML, CSV, GeoTIFF, PNG, File Geodatabase, Oracle, etc.

See All Supported Formats

Top Point Cloud Transformers

FME Desktop contains hundreds of general purpose transformers, plus more than 20 transformers specifically designed for point cloud processing tasks. These include:

PointCloudCombiner Learn More

Combines multiple geometries into a single point cloud.

PointCloudCoercer Learn More

Coerces point cloud geometries into points or multipoints.

PointCloudThinner Learn More

Outputs point cloud features that have fewer points than the original input features.

PointCloudSplitter Learn More

Splits a single point cloud feature into multiple point cloud features.

PointCloudFilter Learn More

Filters a point-cloud feature into one or more parts, output via separate ports, based on evaluating expressions.

PointCloudCreator Learn More

Creates a new point cloud feature with the specified size and components.

Best LiDAR Productivity Tool

LiDAR data is often massive and cumbersome to work with. You need a tool that’s powerful enough to process billions of points, yet easy enough to actually use. FME Desktop lets you take control of your LiDAR data using a drag-and-drop interface – no coding is required.

FME Desktop turns repetitious tasks into simple, automated ones. It also integrates with leading software like rapidlasso’s LAStools, extending the range of what’s possible for converting and transforming your point cloud data.

About LiDAR and Point Clouds

A simplistic definition for point clouds would be to think of them as a collection of multiple data points in a coordinate system. Point clouds are vector-based structures, each with their own XYZ coordinates and containing attributes called components that can represent things like time, flight line, and intensity. Point cloud data can be captured relatively quickly and is typically used to create 3D representations.

Especially in GIS, point clouds are very frequently mistakenly known as LiDAR (or Light Detection And Ranging). LiDAR is merely one way of capturing point clouds. So while it is true that all LiDAR data is also point cloud data, it’s not the case that all point cloud data are LiDAR data. Other types of point cloud data include sonar data and radar data, and point clouds are increasingly being created from pairs of images. Learn More


Getting Started with Point Clouds

Read the Article

How to Get the Most Out of LiDAR Data

Watch the Webinar

14 Ways to Take Control of LiDAR Data

Read the Blog Post

Get Started

Download a free and fully functional 30-day trial of FME Desktop.