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The Whitebox Geospatial Analysis
Tools Project
and Open-Access GIS
John Lindsay, Ph.D.
University of Guelph
GISRUK, Glasgow
April 16-18, 2014
1
What is Whitebox GAT?
2
http://www.uoguelph.ca/~hydrogeo/Whitebox/
• Origins in the Terrain Analysis System (TAS)
• Whitebox GAT project started in 2009
• Free and open-source GIS and remote sensing
software package
• Google code repository
• Multi-platform software
• Translated into 11 languages
3
Whitebox
• Currently contains 372 tools for processing DEMs,
raster images, vector data, and LiDAR.
• New tools can be added as plugins developed using
any JVM programming language (Java, Groovy,
Python).
• Useful as a powerful geoprocessing engine
4
Basic GIS and Vector Data Analysis
5
Terrain Analysis Toolbox
• Tools for extracting information
from DEMs.
• Surface derivatives (slope, aspect,
curvature)
• Hillshading and visibility analysis
• Relative landscape position
• Landform classification
• Topographic index, sediment
transport index, etc.
6
LiDAR represents the state of the science for
topographic and canopy mapping.
7
LiDAR Toolbox
LiDAR Toolbox
• Whitebox contains tools to
– interpolate LAS files,
– mosaic tiles,
– fill in missing data gaps,
– remove off-terrain objects
– model vegetation canopy
8
9
Removing Off-terrain Objects
10
Original last-return LiDAR DEM Bare-Earth DEM created using
‘remove off-terrain objects’ tool
Processing Massive DEM Datasets
11
This file was mosaiced from 4200 LiDAR
tiles
It consists of 4.25 billion grid cells and a
file of 15.8GB
Hydrology Toolbox
Flow accumulation image derived from a DEM
• Flow-path enforcement
• Flow algorithms
• D8, FD8, D∞, MD∞
• flow direction
• flow accumulation
• Flow-path length
• Watershed delineation
• Sub-basin delineation
• Hillslope mapping
12
13
Surface Flow-path Enforcement
Depression Filling
Depression Breaching
Road blocks flow in DEM
X
X
Filling Breaching
Stream Network Analysis Toolbox
• DEM-based automated stream
mapping
– Algorithms based on either valley
recognition methods (i.e. DEM
shape) or channel initiation
methods (i.e. contributing area
thresholding)
• Link length and slope
• Stream ordering
• Long profiles
• Link classification
14
Remote Sensing Applications
• Numerous spatial filters
• Contrast stretching
• Change detection algorithms
• PCA and inverse PCA
• Image classification, feature-space plotting
• Photogrammetry
15
Whitebox as an ‘Open-Access GIS’
• The potential benefits of O-S GIS include wider community
involvement, deeper user knowledge, and rapid innovation
in the field.
• The intention of O-S GIS is good but we could realize even
more benefits if we altered the implementation.
• The potential benefit of OSS is often defeated by the
barriers that are in place as a result of the implementation
of the O-S model.
• Open-Access GIS: software should be designed in a way
that reduces the barriers that often discourage or disallow
end-users from examining the algorithm design and
implementation associated with specific geospatial tools.
16
Whitebox as an ‘Open-Access GIS’
17
Whitebox as an ‘Open-Access GIS’
18
Whitebox as an ‘Open-Access GIS’
19
Whitebox Usage
20
• Downloaded 1573 times in last 17 weeks.
• Downloads originated in 91 countries
Concluding remarks
• Whitebox provides extensive tools for
extracting information from spatial data sets.
• The open-source(access) nature and ease of
use of Whitebox provides an ideal
environment for education and research.
21
Acknowledgements
• It’s been a wonderful honour to speak with
you today.
• Funding for this work has been provided by:
22

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Whitebox GAT - an introduction by its developer

  • 1. The Whitebox Geospatial Analysis Tools Project and Open-Access GIS John Lindsay, Ph.D. University of Guelph GISRUK, Glasgow April 16-18, 2014 1
  • 3. http://www.uoguelph.ca/~hydrogeo/Whitebox/ • Origins in the Terrain Analysis System (TAS) • Whitebox GAT project started in 2009 • Free and open-source GIS and remote sensing software package • Google code repository • Multi-platform software • Translated into 11 languages 3
  • 4. Whitebox • Currently contains 372 tools for processing DEMs, raster images, vector data, and LiDAR. • New tools can be added as plugins developed using any JVM programming language (Java, Groovy, Python). • Useful as a powerful geoprocessing engine 4
  • 5. Basic GIS and Vector Data Analysis 5
  • 6. Terrain Analysis Toolbox • Tools for extracting information from DEMs. • Surface derivatives (slope, aspect, curvature) • Hillshading and visibility analysis • Relative landscape position • Landform classification • Topographic index, sediment transport index, etc. 6
  • 7. LiDAR represents the state of the science for topographic and canopy mapping. 7 LiDAR Toolbox
  • 8. LiDAR Toolbox • Whitebox contains tools to – interpolate LAS files, – mosaic tiles, – fill in missing data gaps, – remove off-terrain objects – model vegetation canopy 8
  • 9. 9
  • 10. Removing Off-terrain Objects 10 Original last-return LiDAR DEM Bare-Earth DEM created using ‘remove off-terrain objects’ tool
  • 11. Processing Massive DEM Datasets 11 This file was mosaiced from 4200 LiDAR tiles It consists of 4.25 billion grid cells and a file of 15.8GB
  • 12. Hydrology Toolbox Flow accumulation image derived from a DEM • Flow-path enforcement • Flow algorithms • D8, FD8, D∞, MD∞ • flow direction • flow accumulation • Flow-path length • Watershed delineation • Sub-basin delineation • Hillslope mapping 12
  • 13. 13 Surface Flow-path Enforcement Depression Filling Depression Breaching Road blocks flow in DEM X X Filling Breaching
  • 14. Stream Network Analysis Toolbox • DEM-based automated stream mapping – Algorithms based on either valley recognition methods (i.e. DEM shape) or channel initiation methods (i.e. contributing area thresholding) • Link length and slope • Stream ordering • Long profiles • Link classification 14
  • 15. Remote Sensing Applications • Numerous spatial filters • Contrast stretching • Change detection algorithms • PCA and inverse PCA • Image classification, feature-space plotting • Photogrammetry 15
  • 16. Whitebox as an ‘Open-Access GIS’ • The potential benefits of O-S GIS include wider community involvement, deeper user knowledge, and rapid innovation in the field. • The intention of O-S GIS is good but we could realize even more benefits if we altered the implementation. • The potential benefit of OSS is often defeated by the barriers that are in place as a result of the implementation of the O-S model. • Open-Access GIS: software should be designed in a way that reduces the barriers that often discourage or disallow end-users from examining the algorithm design and implementation associated with specific geospatial tools. 16
  • 17. Whitebox as an ‘Open-Access GIS’ 17
  • 18. Whitebox as an ‘Open-Access GIS’ 18
  • 19. Whitebox as an ‘Open-Access GIS’ 19
  • 20. Whitebox Usage 20 • Downloaded 1573 times in last 17 weeks. • Downloads originated in 91 countries
  • 21. Concluding remarks • Whitebox provides extensive tools for extracting information from spatial data sets. • The open-source(access) nature and ease of use of Whitebox provides an ideal environment for education and research. 21
  • 22. Acknowledgements • It’s been a wonderful honour to speak with you today. • Funding for this work has been provided by: 22