This document discusses using FME for working with raster data. It provides an overview of raster types and formats supported by FME, as well as common raster workflows and transformations. These include format conversion, loading/extracting to databases, processing via resampling or cell operations, enriching GIS data by converting between raster and vector, 3D workflows like draping, and consuming/publishing raster to the web. The document demonstrates several raster workflows in FME including generating reports from LAS point clouds, writing raster images to Excel, creating KML for tracking storm paths over time, and modeling flood inundation from DEM and river vector data.

1. Exploring Raster with FME

2. Agenda
 Raster Types & Workflows
 Raster and FME
 Formats
 Transformations
 Demos
 LAS Report
 Excel Image Writing
 Storm Tracker
 Flood Model

3. Typical Raster Users
• Land use planning
• Agriculture
• Environmental & resource
management
• Disaster response
• Security & Defense
• Weather forecasting
• Climate modeling
• Web mapping / mobile
devices

4. Raster Types
 Imagery
 Photographs
 Elevation models
 Reports
 charting
 Numeric models
 time series

5. Vector:
• Precise coordinates
• Many features
• eg. polygons
*Both can have attributes, use
common transforms, and interact
Raster:
• One/few grid features
• Approximate cell values
• eg. DEM grid
Raster vs. Vector
*Both can have attributes, use
common transforms, and interact

6. Raster Workflows
 Format conversion (tif to jpg)
 Loading (database import)
 Extraction (database export)
 Processing (transformations)
 Enriching GIS with raster (raster to vector)
 Publishing vector layers (vector to raster)
 3D workflows (draping, texturing, shading)
 Consuming from and publishing to web

7. FME Raster Formats

8. Raster Transformations
 Resampling
 Reinterpretation
 Reprojection
 Mosaicking
 Tiling & clipping
 Georeferencing
 Surface modelling
 Vectorization
 Band & cell operations

9. Raster Bands
 What are Bands? Why important?
 Band Terminology
 Band Management
 Combining and Separating Bands
 Selecting Bands

10. Raster Terminology
 Band
 Palette
 Interleaving
 Origins and extents
 Data type / bit depth
 Numeric, color
 Compression(lzw,jpg)

11. Key to Format Conversion:
Interpretation
 Data Type
 Bit Depth
 Data Interpretation
 Palettes vs Bands
 RasterInterpretationCoercer
INT32 GRAY8 JPEG

12. Raster and Vector Interaction
Working with vector
and raster data
simultaneously

13. Raster Cell Manipulation & Algebra
Raster Cell Calculations:
 RasterCellValueReplacer
 RasterCellValueCalculator
 RasterExpressionEvaluator

14. Raster / Vector Interaction
& Cell Manipulation
 Flooded areas from
raster DEM
 RasterCellValueReplacer
 RasterToPolygonCoercer
 Generalization

15. Raster & 3D
 2.5D vs 3D
 Draping
 Appearances
 Surfaces, TINs

16. Raster & PointClouds

17. Read a LAS file and generate a report with:
 File name and location
 The extents and coordinate system
 Available components and other
information
 One top view and two perspective view
images
 Color and intensity distribution chart
LAS Report Demo

18. LAS Report Demo

19. LAS Report Demo
Raster Chart creation:
 Split point cloud by each color and
intensity
 Use ChartGenerator, new transformer
in FME 2015.1

20. LAS Report Demo

21. Raster to Excel writing
Water distribution QA example
 Read DWG file
 Pass through GeometryValidator
 For all errors, construct a URL to request
Google static map and mark the error on it
 Save the results to Excel

22. Raster to Excel writing
 Water distribution QA example

23. 1. Create request features from
parameters
2. Read WMS-T for time step
3. Georeference and format for KML
4. Use KMLTimeSetter to set time
stamp per time step feature
5. Write to KML
Storm Tracker Demo: Workspace

24. Storm Tracker Demo: Workspace
http://mesonet.agron.iastate.edu/cgi-bin/wms/nexrad/n0r-t.cgi?SERVICE=WMS
&REQUEST=GetMap&LAYERS=nexrad-n0r-wmst&TIME=2015-02-01T03:00:00Z*

25. Storm Tracker Demo:
KML Output

26. Storm Tracker Demo:
KML Output

27. Flood Model: Inputs
Raster DEM
2D River

28.  Read river vector and raster DEM
 Create river buffer in 2D
 Drape on DEM
 Convert river buffer areas to raster
DEM & elevate by flood height
 Use raster algebra to difference flood
level DEM from terrain DEM
 Convert flooded cells to polygons
(flood height > elevation)
 Write to 3DPDF
Flood Model Workflow

29. Flood Model Workspace

30. Flood Model Results
1 meter 2 meter

31. A Debate of The Year…

32. A World Wide Debate…

33. White And Gold
Or
Blue And Black?

34. Scientific approach
 Raster Analysis

35. A bit more about the debate
 http://www.dogonews.com/2015/3/6/w
hite-and-gold-or-blue-and-black-the-
great-dress-debate

36.  FME works with all kinds of raster data
 Full control of raster structures and values
 Convert between most formats
 Add value to raster through transformation
 Convert to / from vector
 Populate from point clouds and enrich 3D
 Consume from and publish to Web
FME & Raster: Take-Aways

37. Thank You!