EN ESPANOL

DM4DEM (which stands for Data Mining for Digital Elevation Models) is well integrated with GRASS and/or TclTkGrass. It provides the user with a unique environment for detailed edition of a given DEM, looking for blunders (also known as outliers) and offering facilities and tools for guessing better values for the unlikely elevations. Its features have been described in a recent paper. It is open, in the sense that new detection algorithms can be added to the sofware. Two well known procedures are already implemented (see here or here for further details of the implemented methods).

The system is able to keep separate information of the different projects under development by the user, integrated as well with GRASS built-in tools for visualization, storage and manipulation of the output of the algorithms. The unlikely elevations can be edited automatically (see here about its performance). The elevation values can be inserted by the user as well, either in the candidate points provided by the blunder detection algorithms, or for any point of the DEM.

The system works in UNIX workstations, using the well known GRASS and/or TclTkGrass, in both cases integrated with the menu. The DM4DEM system was designed following the trends of the graphics interface, using the same style as TclTkGrass, in order to make the environment more familiar with the user. The GRASS style regarding programming style assures that the system can be installed easily in different architectures.

We assume that the end user has strong knowledge of the limitations of typical DEM's. An HTML file with online help for the functions provided with the program is included, as well as a complete and detailed user's manual (In spanish; to be translated soon!)

Author: Gonzalo Durañona

Advisors: Ings. Carlos López and Ana Spangenberg