Geomorphometry: Difference between revisions

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== GRASS in Geomorphometry ==
== Geomorphometry in GRASS ==


Geomorphometry is viewed as the science of quantitative analysis of earth surface (Pike, 2000).
Geomorphometry is viewed as the science of quantitative analysis of earth surface (Pike, 2000).

Revision as of 08:08, 20 June 2013

Geomorphometry in GRASS

Geomorphometry is viewed as the science of quantitative analysis of earth surface (Pike, 2000).

Import and computing of DEMs

  • Grid-based DEMs in various formats can be imported using the r.in.gdal command
  • Elevation data represented by digitised contours or measured points can be imported using the v.in.ogr command that supports numerous vector formats
  • Data given as an ASCII list of (x, y, z) coordinates can be imported with v.in.ascii
  • Very dense ASCII point data (e.g. from LiDAR), can be directly converted to raster using r.in.xyz by performing a binning procedure based on different statistical measures (min, max, mean, range, etc.).

Useful commands

References

  • Grohmann, C.H., 2004. Morphometric analysis in geographic information systems: applications of free software GRASS and R. Computers & Geosciences, 30(9-10), pp.1055-1067. http://dx.doi.org/10.1016/j.cageo.2004.08.002
  • Grohmann, C.H., 2005. Trend-surfaces analysis of morphometric parameters: A case study in southeastern Brazil Computers & Geosciences, 31, 1005-1014. http://dx.doi.org/10.1016/j.cageo.2005.02.011
  • Grohmann, C. H.; Riccomini, C. & Alves, F. M. , 2007. SRTM-based morphotectonic analysis of the Pocos de Caldas Alkaline Massif, southeastern Brazil Computers & Geosciences, 33, 10-19. http://dx.doi.org/10.1016/j.cageo.2006.05.002
  • Grohmann, C. H. & Riccomini, C., 2009. Comparison of roving-window and search-window techniques for characterising landscape morphometry Computers & Geosciences, 35, 2164-2169. http://dx.doi.org/10.1016/j.cageo.2008.12.014
  • Grohmann, C. H.; Smith, M. J. & Riccomini, C., 2010. Multiscale Analysis of Topographic Surface Roughness in the Midland Valley, Scotland Geoscience and Remote Sensing, IEEE Transactions on, 49, 1200-1213. http://dx.doi.org/10.1109/TGRS.2010.2053546
  • Grohmann, C. H.; Riccomini, C. & Chamani, M. A. C., 2011. Regional scale analysis of landform configuration with base-level (isobase) maps Hydrology and Earth System Sciences, 15, 1493-1504. http://dx.doi.org/10.5194/hess-15-1493-2011
  • Hengl, T. & Reuter, H.I., 2009. Geomorphometry: concepts, software, applications, Amsterdam; Oxford: Elsevier. http://geomorphometry.org/book
  • Hofierka, J., Mitasova, H. & Neteler, M., 2009. Geomorphometry in GRASS GIS. In Developments in Soil Science. Elsevier, pp. 387-410. Available at: http://dx.doi.org/10.1016/S0166-2481(08)00017-2.
  • Le Coz, M. et al., 2009. Assessment of Digital Elevation Model (DEM) aggregation methods for hydrological modeling: Lake Chad basin, Africa. Computers & Geosciences, 35(8), pp.1661-1670.