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Transforming Rasters & Point Clouds

Transforming Rasters and Point Clouds

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Page 1: Transforming Rasters and Point Clouds

Transforming Rasters

& Point Clouds

Page 2: Transforming Rasters and Point Clouds

Agenda

• Point Clouds and Rasters in FME• New in FME 2016.1

• Do more with third-party tool integrations• LAStools• ImageMagick

• Example point cloud to raster transformation

• Advanced transformations for big data problems• Viewshed Analysis with point

clouds

Page 3: Transforming Rasters and Point Clouds

Read/write 75+ raster and point cloud formats

75+ raster and point cloud

transformers

View and inspect

Page 4: Transforming Rasters and Point Clouds
Page 5: Transforming Rasters and Point Clouds

New in FME 2016.1• Autodesk ReCap• Cesium 3D Point

Clouds• Sentinel 1 and 2

Raster opacity setting in FME Data Inspector

Page 6: Transforming Rasters and Point Clouds

Third-Party Tool

IntegrationsMake even morewith LAStools and ImageMagick.

Page 7: Transforming Rasters and Point Clouds

Custom TransformersLAStools wrappers• LAStools.lasground• LAStools.lasheight• LAStools.lasnoise• LAStools.lasclassify• LAStools.lasgrid• LAStools.laspublish

ImageMagick wrappers• SVGReader• AnimatedGIFWriter

Article & downloads: fme.ly/3rdparty

Page 8: Transforming Rasters and Point Clouds

LAStools wrappers

rapidlasso.com

Page 9: Transforming Rasters and Point Clouds

LAStools wrappers: LASpublish

http://fme.ly/surrey

Publish this excellent

point cloud

dataset to Potree

Page 10: Transforming Rasters and Point Clouds

ImageMagick wrapper: AnimatedGIFWriter

Page 11: Transforming Rasters and Point Clouds

Demo: Creating a Fancy Animated GIF

Don’t be scared. This is the important

transformer here.

Page 12: Transforming Rasters and Point Clouds

Example point cloud to raster transformation

Create a Digital Terrain Model (DTM) and Digital Surface Model (DSM) from a point cloud.

Page 13: Transforming Rasters and Point Clouds

Merge component values from one point cloud to another.

Sort a point cloud by the values of components.

Page 14: Transforming Rasters and Point Clouds
Page 15: Transforming Rasters and Point Clouds

AdvancedTransformations

Using point cloud power for Viewshed Analysis.

Page 16: Transforming Rasters and Point Clouds

Viewshed Analysis● Goal: Identify which land parcels have a view of the water● Expressing a big data problem as a point cloud made the

impossible possible● Millions of parcels and lines of sight = 17 billion points

○ Point clouds can handle this volume!● Test if the DEM intersects with the line-of-sight points

Page 17: Transforming Rasters and Point Clouds

Viewshed Analysis

Page 18: Transforming Rasters and Point Clouds

● FME is extremely efficient when handling point clouds and rasters.

● Many powerful transformers and custom transformers are available.

● Try using point clouds for your big data problems.

Page 19: Transforming Rasters and Point Clouds

Thank you!Questions?