FME can do simple conversions and complex integrations. In this example, a 3D model is created for use in ArcGIS by using FME to combine an orthophoto, a DEM, building footprints, various LiDAR scans, and more. Watch a Demo
FME lets you generate a surface model from a point cloud dataset. This makes it easy to generate a DEM (Digital Elevation Model) or TIN (Triangulated Irregular Network). Watch a Demo
FME can be used to transform data on a point-by-point basis based on classification, intensity, colour, and more. In this flood prediction simulation, FME is used to colour points based on their elevation. Watch a Demo
Link several of FME’s transformers into advanced workflows. For example, feature extraction was performed on this point cloud by applying several transformations and converting it to vector polygons based on elevation analysis. Watch a Demo
LiDAR data is often enormous and difficult to use. FME gives you the ability to select the data you need via transformers for tiling, clipping, thinning, splitting, and filtering point clouds. Watch a Demo
FME Desktop includes validation tools to detect issues and clean data as needed. It also has an inspection application that allows you to view your point cloud data before, during, or after transformation. Watch a Demo
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.
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:
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.
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