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The	
  Whitebox	
  Geospa/al	
  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	
  
hIp://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	
  
soUware	
  package	
  
•  Google	
  code	
  repository	
  
•  Mul/-­‐plaXorm	
  soUware	
  
•  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	
  extrac/ng	
  informa/on	
  
from	
  DEMs.	
  
•  Surface	
  deriva/ves	
  (slope,	
  aspect,	
  
curvature)	
  
•  Hillshading	
  and	
  visibility	
  analysis	
  
•  Rela/ve	
  landscape	
  posi/on	
  
•  Landform	
  classifica/on	
  
•  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	
  /les,	
  	
  
– fill	
  in	
  missing	
  data	
  gaps,	
  	
  
– remove	
  off-­‐terrain	
  objects	
  
– model	
  vegeta/on	
  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	
  
/les	
  
	
  
It	
  consists	
  of	
  4.25	
  billion	
  grid	
  cells	
  and	
  a	
  
file	
  of	
  15.8GB	
  
Hydrology	
  Toolbox	
  
Flow	
  accumula/on	
  image	
  derived	
  from	
  a	
  DEM	
  
•  Flow-­‐path	
  enforcement	
  
•  Flow	
  algorithms	
  	
  
•  D8,	
  FD8,	
  D∞,	
  MD∞	
  
•  flow	
  direc/on	
  
•  flow	
  accumula/on	
  
•  Flow-­‐path	
  length	
  
•  Watershed	
  delinea/on	
  	
  
•  Sub-­‐basin	
  delinea/on	
  
•  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	
  
recogni/on	
  methods	
  (i.e.	
  DEM	
  
shape)	
  or	
  channel	
  ini/a/on	
  
methods	
  (i.e.	
  contribu/ng	
  area	
  
thresholding)	
  
•  Link	
  length	
  and	
  slope	
  
•  Stream	
  ordering	
  	
  
•  Long	
  profiles	
  
•  Link	
  classifica/on	
  
14	
  
Remote	
  Sensing	
  Applica/ons	
  
•  Numerous	
  spa/al	
  filters	
  
•  Contrast	
  stretching	
  
•  Change	
  detec/on	
  algorithms	
  
•  PCA	
  and	
  inverse	
  PCA	
  
•  Image	
  classifica/on,	
  feature-­‐space	
  plomng	
  
•  Photogrammetry	
  
15	
  
Whitebox	
  as	
  an	
  ‘Open-­‐Access	
  GIS’	
  
•  The	
  poten/al	
  benefits	
  of	
  O-­‐S	
  GIS	
  include	
  wider	
  community	
  
involvement,	
  deeper	
  user	
  knowledge,	
  and	
  rapid	
  innova/on	
  
in	
  the	
  field.	
  
•  The	
  inten/on	
  of	
  O-­‐S	
  GIS	
  is	
  good	
  but	
  we	
  could	
  realize	
  even	
  
more	
  benefits	
  if	
  we	
  altered	
  the	
  implementa/on.	
  
•  The	
  poten/al	
  benefit	
  of	
  OSS	
  is	
  oUen	
  defeated	
  by	
  the	
  
barriers	
  that	
  are	
  in	
  place	
  as	
  a	
  result	
  of	
  the	
  implementa/on	
  
of	
  the	
  O-­‐S	
  model.	
  
•  Open-­‐Access	
  GIS:	
  soUware	
  should	
  be	
  designed	
  in	
  a	
  way	
  
that	
  reduces	
  the	
  barriers	
  that	
  oUen	
  discourage	
  or	
  disallow	
  
end-­‐users	
  from	
  examining	
  the	
  algorithm	
  design	
  and	
  
implementa/on	
  associated	
  with	
  specific	
  geospa/al	
  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	
  /mes	
  in	
  last	
  17	
  weeks.	
  
•  Downloads	
  originated	
  in	
  91	
  countries	
  
Concluding	
  remarks	
  
•  Whitebox	
  provides	
  extensive	
  tools	
  for	
  
extrac/ng	
  informa/on	
  from	
  spa/al	
  data	
  sets.	
  
•  The	
  open-­‐source(access)	
  nature	
  and	
  ease	
  of	
  
use	
  of	
  Whitebox	
  provides	
  an	
  ideal	
  
environment	
  for	
  educa/on	
  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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The Whitebox Geospatial-Analyisis Tools Project and Open-Access GIS

  • 1. The  Whitebox  Geospa/al  Analysis   Tools  Project     and  Open-­‐Access  GIS   John  Lindsay,  Ph.D.   University  of  Guelph     GISRUK,  Glasgow     April  16-­‐18,  2014   1  
  • 2. What  is  Whitebox  GAT?   2  
  • 3. hIp://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   soUware  package   •  Google  code  repository   •  Mul/-­‐plaXorm  soUware   •  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  extrac/ng  informa/on   from  DEMs.   •  Surface  deriva/ves  (slope,  aspect,   curvature)   •  Hillshading  and  visibility  analysis   •  Rela/ve  landscape  posi/on   •  Landform  classifica/on   •  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  /les,     – fill  in  missing  data  gaps,     – remove  off-­‐terrain  objects   – model  vegeta/on  canopy   8  
  • 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   /les     It  consists  of  4.25  billion  grid  cells  and  a   file  of  15.8GB  
  • 12. Hydrology  Toolbox   Flow  accumula/on  image  derived  from  a  DEM   •  Flow-­‐path  enforcement   •  Flow  algorithms     •  D8,  FD8,  D∞,  MD∞   •  flow  direc/on   •  flow  accumula/on   •  Flow-­‐path  length   •  Watershed  delinea/on     •  Sub-­‐basin  delinea/on   •  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   recogni/on  methods  (i.e.  DEM   shape)  or  channel  ini/a/on   methods  (i.e.  contribu/ng  area   thresholding)   •  Link  length  and  slope   •  Stream  ordering     •  Long  profiles   •  Link  classifica/on   14  
  • 15. Remote  Sensing  Applica/ons   •  Numerous  spa/al  filters   •  Contrast  stretching   •  Change  detec/on  algorithms   •  PCA  and  inverse  PCA   •  Image  classifica/on,  feature-­‐space  plomng   •  Photogrammetry   15  
  • 16. Whitebox  as  an  ‘Open-­‐Access  GIS’   •  The  poten/al  benefits  of  O-­‐S  GIS  include  wider  community   involvement,  deeper  user  knowledge,  and  rapid  innova/on   in  the  field.   •  The  inten/on  of  O-­‐S  GIS  is  good  but  we  could  realize  even   more  benefits  if  we  altered  the  implementa/on.   •  The  poten/al  benefit  of  OSS  is  oUen  defeated  by  the   barriers  that  are  in  place  as  a  result  of  the  implementa/on   of  the  O-­‐S  model.   •  Open-­‐Access  GIS:  soUware  should  be  designed  in  a  way   that  reduces  the  barriers  that  oUen  discourage  or  disallow   end-­‐users  from  examining  the  algorithm  design  and   implementa/on  associated  with  specific  geospa/al  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  /mes  in  last  17  weeks.   •  Downloads  originated  in  91  countries  
  • 21. Concluding  remarks   •  Whitebox  provides  extensive  tools  for   extrac/ng  informa/on  from  spa/al  data  sets.   •  The  open-­‐source(access)  nature  and  ease  of   use  of  Whitebox  provides  an  ideal   environment  for  educa/on  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