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February 25th, 2013




                                             © http://www.viewfinderpanoramas.org


Xander Bakker - GIS Team, Grontmij GIS&ICT
2




The digital elevation model represents the bare ground surface
without any objects like plants and buildings


A digital elevation model (DEM) is a digital representation of
ground surface topography or terrain.


A digital elevation model (DEM) is defined as "any digital representation
of the continuous variation of relief over space,“ Burrough, 1986


Digital Elevation Model (DEM) is a grid where each cell is a value
referenced to a common datum (sea level), Aronoff 1989
3
4




In some definitions a DTM is the same as a DEM



DTM is defined as spatial distribution of terrain attributes, a
topographic map in digital format, that not only consist of the
DEM but also slope, aspect and so on… (Meijerink, A. M. J., De
Brouwer, H. A. M., Mannaerts, C. M. & Valenzuela)



What’s more important; be aware that there are different definitions!
5

 Spot elevation
6

 Contour lines
7
8




© http://maps.google.com
9
10

                No break lines   Soft break lines   Hard break lines


  Input data



Triangulation



     Surface




     3D view


                                                    © http://www.ian-ko.com
11




© Ramon Hanssen, TU Delft
ght etection nd   anging
                           12
ght etection nd   anging
                           13
14
15
16

              ‘Raw’ AHN2 points(DSM)   Filtered AHN2 points ( DEM)
Point cloud
TIN
17




ditch

river

tree

road

hedge

farm
18
19




Buildings not in TOP10
are detected




Buildings mainly
covered with NoData
are depicted as well
20
21




Digital Surface Model



                              Slope


                        GIS
Buildings footprints




                              Aspect


Cities
22




© http://www.iabg.de
23




West   East




              Cundinamarca, Colombia
24




     3D




2D
25




            bare earth
Soil maps

                         Soil maps




GeoTOP
                         GeoTOP
26
27
28




Speed bumps
29




                            6
                                             7

A
        2       4   5
                                                 8   9
B

            3                                            10   11

    1
                        Center of the dike
30



1200 km of dike
Evaluate every 0.5 meter
Retrieve 11 heights

> 26 million queries
… from a dataset with 7 billon pixels (30GB)




Read each time only the extent of 1
dike into memory. Hours of processing
time reduced to minutes!
31




height ≥ A
B ≤ height < A
height< B
Insufficient data
No Data
32




 More than 1.5m, AHN2 > A                  More than 70% NoData
                                                                                    AHN2 < B




Insufficient data, less than 70% NoData,            More than 1.5m, B <= AHN2 < A
but no 3 consecutive points with data
33




height ≥ A
B ≤ height < A
B-10cm ≤ height < B
B-20cm ≤ height < B-10cm   height ≥ A
B-30cm ≤ height < B-20cm   B ≤ height < A
B-40cm ≤ height < B-30cm   height < B
height < B-40cm            Insufficient data
Insufficient data          No Data
No Data
34



                                      Sections of 100m


DEM




Dike center line   Cross profile




                                      H100min




                   Standard profile   3D dike profile
35
36
                         Standard profiel
                         after iteration




               H100min




Standard profile
before iteration
37
                                               Z

                                                   X
                                           Y




                       First result

Second result          before correction

after correction
with better position
38
39
40
41




More information about LAStools:
  https://twitter.com/#!/LAStools
  http://www.cs.unc.edu/~isenburg/lastools/
  http://www.linkedin.com/groups/LAStools-4408378
  http://www.facebook.com/LAStools
42
43
44
http://twitter.com/#!/XanderBakker



                                                       http://nl.linkedin.com/in/xanderbakker
            Xander Bakker
            Senior GIS Advisor
                                                       Xander [DOT] Bakker [AT] Grontmij [DOT] NL



                                                       http://software.grontmij.nl




Grontmij Netherlands BV :: GIS & ICT – GIS Team :: http://www.Grontmij.com :: +31 30 220 79 11

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Digital Elevation Models - WUR - Grontmij

  • 1. February 25th, 2013 © http://www.viewfinderpanoramas.org Xander Bakker - GIS Team, Grontmij GIS&ICT
  • 2. 2 The digital elevation model represents the bare ground surface without any objects like plants and buildings A digital elevation model (DEM) is a digital representation of ground surface topography or terrain. A digital elevation model (DEM) is defined as "any digital representation of the continuous variation of relief over space,“ Burrough, 1986 Digital Elevation Model (DEM) is a grid where each cell is a value referenced to a common datum (sea level), Aronoff 1989
  • 3. 3
  • 4. 4 In some definitions a DTM is the same as a DEM DTM is defined as spatial distribution of terrain attributes, a topographic map in digital format, that not only consist of the DEM but also slope, aspect and so on… (Meijerink, A. M. J., De Brouwer, H. A. M., Mannaerts, C. M. & Valenzuela) What’s more important; be aware that there are different definitions!
  • 7. 7
  • 9. 9
  • 10. 10 No break lines Soft break lines Hard break lines Input data Triangulation Surface 3D view © http://www.ian-ko.com
  • 12. ght etection nd anging 12
  • 13. ght etection nd anging 13
  • 14. 14
  • 15. 15
  • 16. 16 ‘Raw’ AHN2 points(DSM) Filtered AHN2 points ( DEM) Point cloud TIN
  • 18. 18
  • 19. 19 Buildings not in TOP10 are detected Buildings mainly covered with NoData are depicted as well
  • 20. 20
  • 21. 21 Digital Surface Model Slope GIS Buildings footprints Aspect Cities
  • 23. 23 West East Cundinamarca, Colombia
  • 24. 24 3D 2D
  • 25. 25 bare earth Soil maps Soil maps GeoTOP GeoTOP
  • 26. 26
  • 27. 27
  • 29. 29 6 7 A 2 4 5 8 9 B 3 10 11 1 Center of the dike
  • 30. 30 1200 km of dike Evaluate every 0.5 meter Retrieve 11 heights > 26 million queries … from a dataset with 7 billon pixels (30GB) Read each time only the extent of 1 dike into memory. Hours of processing time reduced to minutes!
  • 31. 31 height ≥ A B ≤ height < A height< B Insufficient data No Data
  • 32. 32 More than 1.5m, AHN2 > A More than 70% NoData AHN2 < B Insufficient data, less than 70% NoData, More than 1.5m, B <= AHN2 < A but no 3 consecutive points with data
  • 33. 33 height ≥ A B ≤ height < A B-10cm ≤ height < B B-20cm ≤ height < B-10cm height ≥ A B-30cm ≤ height < B-20cm B ≤ height < A B-40cm ≤ height < B-30cm height < B height < B-40cm Insufficient data Insufficient data No Data No Data
  • 34. 34 Sections of 100m DEM Dike center line Cross profile H100min Standard profile 3D dike profile
  • 35. 35
  • 36. 36 Standard profiel after iteration H100min Standard profile before iteration
  • 37. 37 Z X Y First result Second result before correction after correction with better position
  • 38. 38
  • 39. 39
  • 40. 40
  • 41. 41 More information about LAStools: https://twitter.com/#!/LAStools http://www.cs.unc.edu/~isenburg/lastools/ http://www.linkedin.com/groups/LAStools-4408378 http://www.facebook.com/LAStools
  • 42. 42
  • 43. 43
  • 44. 44
  • 45. http://twitter.com/#!/XanderBakker http://nl.linkedin.com/in/xanderbakker Xander Bakker Senior GIS Advisor Xander [DOT] Bakker [AT] Grontmij [DOT] NL http://software.grontmij.nl Grontmij Netherlands BV :: GIS & ICT – GIS Team :: http://www.Grontmij.com :: +31 30 220 79 11