Hi Maning

The discussion is open. I'm of course biased towards the raster terrain plugin (and plan to support it also in the future).

The raster terrain plugin has some new functions in 1.8:
- hillshade
- relief creation algorithm (see http://www.sourcepole.com/2012/1/16/shaded-relief-maps-with-qgis)
- z factor (to handle lat/long datasources)

Planned in future is the possibility to give output options (e.g. compression).

Regards,
Marco


Am 04.05.2012 10:26, schrieb maning sambale:
Dear devs,

What are the immediate plans to integrate terrain/dem tools?
Currently we have several terrain tools available (Raster Terrain
Modelling plugin, GdalTools, GRASS, Sextante).
I am currently preparing a howto on terrain analysis for newbies and I
am evaluating which of the above plugin to introduce.  Perhaps if
there are plans to integrate, I might as well introduce them to the
plugin the will eventually "survive" the integration.

Thanks!

---------- Forwarded message ----------
From: maning sambale<[email protected]>
Date: Thu, Apr 26, 2012 at 3:52 PM
Subject: gdaldem plugin versus raster terrain modelling plugin
To: qgis-user<[email protected]>


Currently we have two terrain analysis plugin, one for as a core
plugin (Raster Terrain Modelling) and the other in GdalTools
(gdaldem).

The Raster Terrain Modelling has 4 analysis algorithm (slope, aspect,
ruggedness, total curvature) and has simpler UI (analysis type, input,
output, output format).  On the other hand, gdaltools' dem analysis
has more algorithms (hillshade, slope, aspect, color-relief, TRI, TPI,
roughness) and parameter switches (i.e. for Slope, scale factor).

I tested the generation of both plugin on the same DEM and I got
different results.  Visually inspecting the map, the results looks
very similar.  But the data stats while not very divergent, are
different, see below.

$ gdalinfo -hist slope_terrainplugin.tif
<snip>
  Metadata:
    STATISTICS_MAXIMUM=88.384605407715
    STATISTICS_MEAN=10.562942081774
    STATISTICS_MINIMUM=0
    STATISTICS_STDDEV=10.476060265591

$ gdalinfo -hist slope_gdalplugin.tif
<snip>
  Metadata:
    STATISTICS_MAXIMUM=87.754096984863
    STATISTICS_MEAN=10.702959382095
    STATISTICS_MINIMUM=0
    STATISTICS_STDDEV=10.367163780773

I'm asking here for experience of people in using the two plugins,
which of the two has better results in your analysis?  FWIW, you can
also include GRASS' r.slope.aspect in the comparison.
--
cheers,
maning
------------------------------------------------------
"Freedom is still the most radical idea of all" -N.Branden
wiki: http://esambale.wikispaces.com/
blog: http://epsg4253.wordpress.com/
------------------------------------------------------




--
Dr. Marco Hugentobler
Sourcepole -  Linux&  Open Source Solutions
Weberstrasse 5, CH-8004 Zürich, Switzerland
[email protected] http://www.sourcepole.ch
Technical Advisor QGIS Project Steering Committee

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