1. Geospatial Data Abstraction Library(GDAL) Sabya Sachi

2. Agenda Geospatial data Introduction to GDAL GDAL command line utilities

3. What is geospatial data? Data or information identifying the geographic location of features and boundaries on Earth Accessed, manipulated and analysed by Geographic Information System Two types: ▫Raster and Vector

4. Raster data ▫Contains rows and columns of data cells(pixels) ▫Each pixel stores a single value consisting of colour and some additional information ▫Stored in various formats- from tif and jpeg to BLOB as in RDBMS

5. Vector data ▫Geographical features expressed as vectors ▫Coordinates, points, lines, arcs and polygons ▫Geometries linked to database describing the attributes ▫Can be made to respect spatial attributes

6. Introduction to GDAL  A open source library for reading and writing raster geospatial data formats  Includes OGR library in its source tree which supports vector formats  Has various command line utilities for data translation and processing  Supports over 50 Raster formats  Primarily developed by Frank Warmerdam until version 1.3.2 when maintainership was transferred to GDAL/OGR Project management committee under Open Source geo spatial foundation

7. Crossplatform- supported on Linux, Windows, Mac Supports various softwares to read and write multiple data formats ▫Google Earth ▫Delta GIS ▫GRASS GIS ▫Orfeo Toolbox ▫………. Has all command line utilities compiled by Frank Warmerdam into a single software FWTools

8. GDAL Utility programs  22 utilities  gdalinfo: report information about a file  gdal_translate: Copy a raster file with control of output format  gdaladdo: Add overview to a file  gdalwarp: Warp an image into new coordinate system  gdaltindex: Build a mapserver raster tile index  gdalbuildvrt: Build a VRT from a list of datasets

9.  gdal_countours: Countours from DEM  gdaldem: Tools to analyze and visualize DEMs  rgbgdal_merge.py: Build a quick mosaic from a set of images  2pct.py: Convert a 24 bit RGB to 8 bit paletted.  pct2rgb.py: Convert a 8 bit paletted to 24 bit RGB  gdal2tiles.py: Create a TML tile structure,KML and simple web viewer  gdal_rasterize: Converts simple vector to raster

10.  gdaltransform: Transform coordinates  nearblack: Convert nearly black/white border to exact value  gdal_retile.py: Retiles a set of tiles or build tiled pyramid levels  gdal_grid: Create raster from scatter data  gdal_proximity.py: Compute a raster proximity map  gdal_polygonize.py: Generate polygons from raster  gdal_sieve.py: Raster sieve filter  gdal_fillnodata.py: Interpolate in non data regions  gdal-config:Get options required to build software using GDAL

11. gdalinfo Lists various information about GDAL supported dataset Eg. Format driver, raster size, coordinate system, band data types, band min/max values, descriptions, nodata value etc… Syntax:

12. An example output

13. gdal_translate Converts data from one format into another Can also perform rescaling and resampling Syntax:

14. gdaladdo Build or rebuild overview images for most of the raster data formats Supports multiple resampling algorithms including nearest resampling cubic resampling etc. Syntax:

15. gdalwarp A utility for image mosaicing, reprojection and warping Mosiacing: Correcting geometric deformations Warping: Mapping a point to another in an mage without changing the data value at that point, results in distortion sometimes, aids in mosaicing.

16. Syntax: Supports image mosaicing only if there is existing output image Doesn’t adjust existing output image spatial extent

17. gdaltindex Builds a shapefile with a record for each input raster file Shapefile: Contain nontopological geometry and attribute information for the spatial features in a data set. If a shapefile already exists, new data is appended to it. Used with mapserver

18. Syntax:

19. gdaldem Used for analyzing and visualizing DEMs- Digital Elevation models Has seven modes of operation: ▫Hillshade ▫Slope ▫Aspect ▫Color relief ▫TRI(Terrain Ruggedness Index) ▫TPI(Topographic Position Index) ▫Roughness

20. Example: Original dem image 100% 255 255 255 75% 235 220 175 50% 190 185 135 25% 240 250 150 0% 50 180 50

21. gdaldem color-relief clip.tif ramp.txt colored.tif Coloured relief raster

22. gdaldem slope clip slope.tif -s 111120 Slope map

23. gdaldem aspect clip.tif aspect.tif Aspect map

24. gdaldem hillshade clip.tif hillshade.tif -z 5 -s 111120 Hillshade- colour relief

25. gdal_merge A python utility Automatically mosaic a set of images into a single one Images must be in same coordinate system Images have must have matching raster bands Resolution can be different Can overlap

26. Syntax:

27. Example :

28. Conclusion GDAL is currently a major project in open source community and commercial GIS community “ I see GDAL as the glibc/glibc++ of the geospatial software world. It's open, it provides core functionality, I can't understand how anybody gets anything done without it. ” - Howard Butler

29. References http://en.wikipedia.org/wiki/Geoinformation http://www.webopedia.com/TERM/S/spatial_d ata.htmlhttp://www.webopedia.com/TERM/S/spatial_d ata.html http://en.wikipedia.org/wiki/Geographic_infor mation_systemhttp://en.wikipedia.org/wiki/Geographic_infor mation_system http://www.geom.unimelb.edu.au/gisweb/GIS Module/GIST_Vector.htmhttp://www.geom.unimelb.edu.au/gisweb/GIS Module/GIST_Vector.htm http://www.geom.unimelb.edu.au/gisweb/GIS Module/GIST_Raster.htmhttp://www.geom.unimelb.edu.au/gisweb/GIS Module/GIST_Raster.htm

30. http://www.gdal.org/gdal_utilities.html http://en.wikipedia.org/wiki/GDAL http://trac.osgeo.org/gdal/wiki/UserDocs/R asterProcTutorialhttp://trac.osgeo.org/gdal/wiki/UserDocs/R asterProcTutorial http://www.gdal.org/ogr/osr_tutorial.html http://en.wikipedia.org/wiki/Digital_elevatio n_modelhttp://en.wikipedia.org/wiki/Digital_elevatio n_model http://research.dmsolutions.ca/?p=350

31. THANK YOU