FME Transformers: 2024.1

Categories
3D

3D

Rasters
Related Transformers
3DForcer
DEMGenerator
NumericRasterizer
SurfaceModeller

RasterDEMGenerator

Produces a raster digital elevation model (DEM) by uniformly sampling a Delaunay triangulation generated from input points and breaklines.

Jump to Configuration

Typical Uses

  • Creating raster elevation models from non-gridded features such as contours or point clouds.

How does it work?

The RasterDEMGenerator receives input features, triangulates a surface based on them, and then outputs a raster DEM with elevation values sampled from the surface at a specified regular interval. The output raster will contain a single numeric band, of the interpretation type Real64.

The input features are discarded.

Input features can be of a variety of types, including points, lines, areas, rasters, and point clouds. Aggregate geometries are supported, and multiple input features and types may be combined to produce one raster DEM output feature.

There are two input ports - Points/Lines and Breaklines. At least one input feature must be provided, which may be routed into either of these ports.

Input features may be either 2D or 3D - however, 2D features will be forced to 3D with an elevation (z value) of zero (0). If the source dataset’s z values are not stored as z coordinates (for example, contours with elevation stored as an attribute), a 3DForcer transformer may be used to convert them to a z coordinate prior to entering the RasterDEMGenerator.

A choice of breakline handling and interpolation methods is available. Surface tolerance and cell spacing may be adjusted, and a Nodata value may be defined.

This transformer is unaffected by raster band and palette selection.

Examples

Usage Notes

  • If input features’ elevation values are not stored as Z coordinates, use a 3DForcer prior to the RasterDEMGenerator.
  • To produce individual elevation points instead of a raster, consider using the DEMGenerator.
  • To build a TIN (triangulated irregular network) surface from points, lines, and/or rasters, see the TINGenerator and SurfaceModeller.

  • When processing large input datasets, increasing the Surface Tolerance may provide performance gains, but may reduce accuracy.
  • For more complex elevation modelling tasks, such as including contour generation, accessing components of the underlying surface model, feature draping, or creating multiple representations of a surface model, consider using the SurfaceModeller.

Choosing a Raster Transformer

FME has an extensive selection of transformers for working with raster data. They can be generally categorized as working with whole rasters, bands, cells or palettes, and those designed for workflow control or combining raster with vector data.

For information on raster geometry and properties, see Rasters (IFMERaster).

Configuration

Input Ports

Output Ports

Parameters

Editing Transformer Parameters

Transformer parameters can be set by directly entering values, using expressions, or referencing other elements in the workspace such as attribute values or user parameters. Various editors and context menus are available to assist. To see what is available, click beside the applicable parameter.

For more information, see Transformer Parameter Menu Options.

Reference

Processing Behavior

Group-Based

Feature Holding

Yes

Dependencies None
Aliases DEMGridGenerator
History This transformer was previously named DEMGridGenerator.

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for all results about the RasterDEMGenerator on the FME Community.

 

Examples may contain information licensed under the Open Government Licence – Vancouver, Open Government Licence - British Columbia, and/or Open Government Licence – Canada.