eu 2016 - transforming rasters & point clouds

19
Transforming Rasters & Point Clouds

Upload: inovacao-gis-tecnologia-da-informacao

Post on 11-Jan-2017

68 views

Category:

Business


0 download

TRANSCRIPT

Page 1: EU 2016 - Transforming Rasters & Point Clouds

Transforming Rasters

& Point Clouds

Page 2: EU 2016 - Transforming Rasters & 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: EU 2016 - Transforming Rasters & Point Clouds
Page 4: EU 2016 - Transforming Rasters & Point Clouds
Page 5: EU 2016 - Transforming Rasters & Point Clouds

New in FME 2016.1

• Autodesk ReCap

• Cesium 3D Point Clouds

• Sentinel 1 and 2

Page 6: EU 2016 - Transforming Rasters & Point Clouds

Third-Party

Tool

Integrations

Make even more

with LAStools and

ImageMagick.

Page 7: EU 2016 - Transforming Rasters & Point Clouds

Custom Transformers

LAStools wrappers

• LAStools.lasground

• LAStools.lasheight

• LAStools.lasnoise

• LAStools.lasclassify

• LAStools.lasgrid

• LAStools.laspublish

ImageMagick wrappers

• SVGReader

• AnimatedGIFWriter

Article & downloads: fme.ly/3rdparty

Page 8: EU 2016 - Transforming Rasters & Point Clouds

LAStools wrappers

rapidlasso.com

Page 9: EU 2016 - Transforming Rasters & Point Clouds

LAStools wrappers: LASpublish

http://fme.ly/surrey

Page 10: EU 2016 - Transforming Rasters & Point Clouds

ImageMagick wrapper: AnimatedGIFWriter

Page 11: EU 2016 - Transforming Rasters & Point Clouds

Demo: Creating a Fancy Animated GIF

Page 12: EU 2016 - Transforming Rasters & 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: EU 2016 - Transforming Rasters & Point Clouds

Merge component values from

one point cloud to another.

Sort a point cloud by the

values of components.

Page 14: EU 2016 - Transforming Rasters & Point Clouds
Page 15: EU 2016 - Transforming Rasters & Point Clouds

Advanced

Transformations Using point cloud power

for Viewshed Analysis.

Page 16: EU 2016 - Transforming Rasters & 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: EU 2016 - Transforming Rasters & Point Clouds

Viewshed Analysis

Page 18: EU 2016 - Transforming Rasters & 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: EU 2016 - Transforming Rasters & Point Clouds

Thank you!

Questions?