[GRASS-SVN] r52598 - in grass/trunk/raster: r.in.lidar r.in.xyz

[svn_grass at osgeo.org]

Author: mmetz
Date: 2012-08-08 06:44:31 -0700 (Wed, 08 Aug 2012)
New Revision: 52598

Modified:
   grass/trunk/raster/r.in.lidar/r.in.lidar.html
   grass/trunk/raster/r.in.xyz/r.in.xyz.html
Log:
r.in.[lidar|xyz]: update manual

Modified: grass/trunk/raster/r.in.lidar/r.in.lidar.html
===================================================================
--- grass/trunk/raster/r.in.lidar/r.in.lidar.html	2012-08-08 11:52:40 UTC (rev 52597)
+++ grass/trunk/raster/r.in.lidar/r.in.lidar.html	2012-08-08 13:44:31 UTC (rev 52598)
@@ -2,9 +2,14 @@
 
 The <em>r.in.lidar</em> module will load and bin LAS LiDAR point clouds
 into a new raster map. The user may choose from a variety of statistical
-methods in creating the new raster. Gridded data provided as a stream of
-x,y,z points may also be imported.
+methods in creating the new raster.
 <p>
+Please note that the current region extents and resolution are used for 
+the import. It is therefore recommended to first use the <em>-s</em> 
+flag to get the extents of the LiDAR point cloud to be imported, then 
+adjust the current region accordingly and only now proceed with the 
+actual import.
+<p>
 <em>r.in.lidar</em> is designed for processing massive point cloud datasets,
 for example raw LIDAR or sidescan sonar swath data. It has been tested with
 datasets as large as tens of billion of points (705GB in a single file).

Modified: grass/trunk/raster/r.in.xyz/r.in.xyz.html
===================================================================
--- grass/trunk/raster/r.in.xyz/r.in.xyz.html	2012-08-08 11:52:40 UTC (rev 52597)
+++ grass/trunk/raster/r.in.xyz/r.in.xyz.html	2012-08-08 13:44:31 UTC (rev 52598)
@@ -5,6 +5,12 @@
 methods in creating the new raster. Gridded data provided as a stream of
 x,y,z points may also be imported.
 <p>
+Please note that the current region extents and resolution are used for 
+the import. It is therefore recommended to first use the <em>-s</em> 
+flag to get the extents of the input points to be imported, then 
+adjust the current region accordingly and only now proceed with the 
+actual import.
+<p>
 <em>r.in.xyz</em> is designed for processing massive point cloud datasets,
 for example raw LIDAR or sidescan sonar swath data. It has been tested with
 datasets as large as tens of billion of points (705GB in a single file).