[GRASS-SVN] r71541 - grass-addons/grass7/raster/r.terrain.texture

[svn_grass at osgeo.org]

Author: neteler
Date: 2017-10-07 23:35:32 -0700 (Sat, 07 Oct 2017)
New Revision: 71541

Modified:
   grass-addons/grass7/raster/r.terrain.texture/r.terrain.texture.html
Log:
r.terrain.texture addon manual: fix HTML; break long example line

Modified: grass-addons/grass7/raster/r.terrain.texture/r.terrain.texture.html
===================================================================
--- grass-addons/grass7/raster/r.terrain.texture/r.terrain.texture.html	2017-10-08 06:33:54 UTC (rev 71540)
+++ grass-addons/grass7/raster/r.terrain.texture/r.terrain.texture.html	2017-10-08 06:35:32 UTC (rev 71541)
@@ -3,7 +3,7 @@
 <em>r.terrain.texture</em> calculates the nested-means terrain classification of Iwahashi and Pike (2007). This classification procedure relies on three surface-form metrics consisting of: (a) terrain surface texture which is represented by the spatial frequency of peaks and pits; (b) surface-form convexity and concavity which are represented by the spatial frequency of convex/concave locations; and (c) slope-gradient which should be supplied by <em>r.slope.aspect</em> or <em>r.param.scale</em>. These metrics are combined using the mean of each variable as a dividing measure into a 8, 12 or 16 category classification of the topography.
 
 <p>
-The calculation follows the description in Iwahashi and Pike (2007). Terrain surface texture is calculated by smoothing the input <i>elevation</i> using a median filter over a neighborhood specified by the <i>filter_size</i> parameter (in pixels). Second, pits and peaks are extracted based on the difference between the smoothed DEM and the original terrain surface. By default the algorithm uses a threshold of 1 (> 1 m elevation difference) to identify pits and peaks. This threshold is set in the <i>flat_thres</i> parameter. The spatial frequency of pits and peaks is then calculated using a Gaussian resampling filter over a neighborhood size specified in the <i>counting_filter</i> parameter (default is 21 x 21 pixels, as per Iwahashi and Pike (2007).
+The calculation follows the description in Iwahashi and Pike (2007). Terrain surface texture is calculated by smoothing the input <i>elevation</i> using a median filter over a neighborhood specified by the <i>filter_size</i> parameter (in pixels). Second, pits and peaks are extracted based on the difference between the smoothed DEM and the original terrain surface. By default the algorithm uses a threshold of 1 (> 1 m elevation difference) to identify pits and peaks. This threshold is set in the <i>flat_thres</i> parameter. The spatial frequency of pits and peaks is then calculated using a Gaussian resampling filter over a neighborhood size specified in the <i>counting_filter</i> parameter (default is 21 x 21 pixels, as per Iwahashi and Pike (2007).
 </p>
 
 <p>
@@ -35,7 +35,9 @@
 <p>Then we produce the terrain classification:</p>
 
 <div class="code"><pre>
-r.terrain.texture elevation=elev_state_500m at PERMANENT slope=slope_state_500m at PERMANENT texture=texture_state_500m convexity=convexity_state_500m concavity=concavity_state_500m features=classification_state_500m
+r.terrain.texture elevation=elev_state_500m at PERMANENT slope=slope_state_500m at PERMANENT \
+  texture=texture_state_500m convexity=convexity_state_500m concavity=concavity_state_500m \
+  features=classification_state_500m
 </pre></div>
 
 <p>Terrain surface texture:</p>