25 years of GRASS GIS - Open Source geospatial analysis. Runs on Linux, MacOSX and MS-Windows with new user interface!

1. 25 Years of GRASS GIS Meeting “Present and Future of the GRASS User community in Japan” Markus Neteler Fondazione E Mach – IASMA Center of Research and Innovation Italy, markus.neteler@iasma.it OSGeo Japan – OSGeo.jp Tokyo, Nomura Research Institute, Marunouchi Center

2. GRASS: 25 years of GFOSS 1987 USA (GRASS 2.0, no Web!) 1995 USA 1997, Univ. of Hannover, Germany 2002 ITC-irst Trento + Baylor ITC-irst 2002 Today...

4. Written in C language, 800k SLOC, portable s ource code (32/64bit; various operating systems and hardware platforms), modular GRASS: The portable GIS Open Source GIS: GRASS Communities: www.grass-verein.de , www.gfoss.it , www.osgeo.jp , www.osgeo.it , www.osgeo.de ... GNU/Linux MacOSX MS-Windows iPAQ (2002)

5. New Windows Installers: OSGeo4W and winGRASS stand-alone

6. GRASS: command line and graphical user interfaces 1982.. .. 1995 Since 2007.. … today

8. Powerful Future:

9. Cartography tool Location Wizard Attribute manager

11. Object and vector transfer from background maps

13. Ongoing: Localization of GRASS GIS Status: Several hundred messages have been translated in January 2010 (MEXT project)

14. Geostatistics with GRASS and R-stats R statistical software is run inside a GRASS session: R reads and writes data directly from/to GRASS

15. A comparison of hiking paths in Val di Fassa, Italy Rot : existing path Blau : calculated with r.walk r.walk improved again in GRASS 6.5+ Arrival Start Autor: M. Franchi, “Young researchers wanted” award (PBZ, 2006) r.walk: Walking connectivity

16. r.walk: Terrain accessibility Hiking in complex terrain

17. GRASS terrain data elaboration Topographic index Solar energy Geomorphometry

18. Overlay of geocoded historical maps (1840) to recent orthophotos LANDSAT ETM+ color composite (from free archive) GRASS image processing

19. GRASS image processing: Atmospheric correction Haze reduction in LANDSAT ETM+ with Tasseled Cap transform Also available: 6S integration in GRASS (i.atcorr) METEOSAT, GOES east/west, NOAA AVHRR, SPOT HRV, LANDSAT TM and ETM+, IRS 1C-LISS, ASTER (ALOS + Ikonos in prep.)

20. GRASS visualization: Orthophotos over Lidar-DEM/DSM Visualization in GRASS-NVIZ tool

21. GIS and Remote sensing unit at FEM: Spatial modelling of disease vectors, biodiversity and beyond http://gis.fem-environment.eu

23. Carpi G., Cagnacci F., Neteler M., Rizzoli A, 2008: Tick infestation on roe deer in relation to geographic and remotely-sensed climatic variables in a tick-borne encephalitis endemic area . Epidem. and Infection, 136, pp. 1416-1424

24. M. Neteler, 2005: Time series processing of MODIS satellite data for landscape epidemiological applications . Intl J Geoinf., 1(1), pp. 133-138 Tiger mosquito (Ae. Albopictus) risk http://gis.fem-environment.eu °C LAND SURFACE TEMPERATURE (LST) Data enhancements in complex Alpine terrain 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 10 15 20 0.1 0.2 0.3 0.4 0.5 0.6 0.7 10day periods (2003) ‏ 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 2 3 Cavedine (570m a.s.l) ‏ Val di Non (610m a.s.l) ‏ Levico (760m a.s.l) ‏ April EVI 10km 3 1 2 Enhanced Vegetation Index (EVI) “Spring/autumn detection”: Trentino 2003 Effect of valley orientation and exposition

25. Original MODIS LST map, QA layer applied as filter Second and third filter stage applied to MODIS LST map [°C] [°C] Undetected outliers (clouds) MODIS LST (Aqua satellite) 1 st June 2003, 13:30 solar time

26. Original MODIS LST map, QA layer applied as filter Reconstructed MODIS LST map [°C] [°C] MODIS LST (Aqua satellite) 1 st June 2003, 13:30 solar time

28. 16-day period aggregated means

29. Linear regression for trend analysis Neteler, M., 2010: Estimating daily LST in mount. env. by reconstr. MODIS LST data. Rem. Sens. 2(1), 333-351

31. In total 128 nodes with 400 Gb RAM

32. Circa 1.7 Tflops/s

33. Linux operating system, blades diskless

34. Used for heavy GIS data processing

35. GRASS and R-stats

36. Queue system for job management (Grid Engine)

38. r.flow: Dinf, SFD

40. r.sim.sediment: soil erosion/deposition

43. 52N WPS : Java

44. vtkGRASSBridge : VTK

45. ZOO project - various languages

46. ... Web Ch. Schwartze, Geoinformatics FCE CTU 2008 Web Processing Service - WPS

48. r.cost : 50x faster

49. r.watershed : time consumption reduced from n to log(n)

50. r.horizon (new) + r.sun (rewritten): faster, improved Improved...

51. v.out.ascii : attribute export added

52. v.out.gpsbabel : new, export to GPS

53. v.buffer, v.delaunay, v.parallel: rewritten (Google SoC 2008 projects)

54. wxPython digitizer : Undo function added

55. wxPython GUI : MS-Windows portable Additionally: > 230 bug tickets fixed R-GRASS-Interface: now fast data exchange

57. r.external : link raster maps instead of import (think WPS!)

58. v.colors : new, easy vector color tables

59. v.generalize : new, 10 vector generalization algorithms

60. v.out.gpsbabel : new, export to GPS

61. and even more... d.split.frame, r.colors.stddev, r.grow.distance, v.to.3d

63. Raster processing: .cost, r.walk, r.watershed: faster by orders of magnitude (10x – 1000x)

65. v.krige : new kriging (using gstat/R)

67. Improved Python API , read/write GRASS rasters to/from NumPy

68. WPS support implemented in parser (c, c++, python, shell)

69. www.grassbook.org Translated by Tetsuji Uemura

71. ARIGATO.... … thanks to OSGeo.JP for making this trip possible!