Concerning landform classifications from DEM data.
Dr. Phil Giles undertook a number of studies to generate geomorphological
signatures from slope units computed from DEMs. An example of this work
Giles, P. T., 1998; Geomorphological Signatures: Classification of
Aggregated Slope Unit Objects from Digital Elevation and Remote Sensing
Data, Earth surface processes and landforms, v 23 n 7, pp. 581-
> From: Eric Pirard[SMTP:eric.pirard@...]
> Sent: November 10, 1998 6:38 AM
> To: ai-geostats@...
> Subject: Re: GEOSTATS: topography & modelling
> Hello Umberto,
> I have no knowledge of previous attempts of this kind to analyze DEMs and
> classify landforms. My experience with topography is more at microscopical
> level (surfometry).
> I would like to draw your attention on the potential of mathematical
> morphology to tackle the problem of analysis of landforms. Basic tools
> such as Opening / Closing and other subsequent classification tools such
> as Watersheds and Tophats are designed to tackle the problems you want to
> I had experience of using fractal dimensions, Fourier transforms and
> Mathematical Morphology in the analysis of roughness and found that Morpho
> Math is the most sensitive and most robust tool for such work.
> In any case, you should not neglect the literature on surface topography
> in tribology (mechanics) and in grey level image analysis. These
> disciplines are much closer to your work than you might expect.
> Basically, this cross disciplinary need is the reason why we are
> organising GEOVISION 99 in Liege. I hope to welcome you there.
> The second circular is no available from :
> Best regards and greetings from Enrico BONINO
> Prof. Eric PIRARD /.
> Universite de Liege
> ---- MICA ----
> Caracterisation des Matieres Minerales Naturelles
> Avenue des Tilleuls, 45
> 4000 LIEGE
> Tel.: +32-4-366.95.28. FAX: +32-4-366.95.20. e-mail :
> Join us at GEOVISION '99 ... http://www.lgih.ulg.ac.be/geovision -- *To
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