manual and keyword improvements

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@56424 15284696-431f-4ddb-bdfa-cd5b030d7da7

imagery/i.aster.toar/i.aster.toar.html

@@ -29,8 +29,8 @@ The function is defined in gain_aster.c file.
 <h2>SEE ALSO</h2>
 
 <em>
-<a href="i.landsat.toar.html">i.landsat.toar</a><br>
-<a href="r.in.aster.html">r.in.aster</a><br>
+<a href="i.landsat.toar.html">i.landsat.toar</a>,
+<a href="r.in.aster.html">r.in.aster</a>
 </em>
 
 <h2>AUTHORS</h2>

imagery/i.class/main.c

@@ -90,6 +90,7 @@ int main(int argc, char *argv[])
     module = G_define_module();
     G_add_keyword(_("imagery"));
     G_add_keyword(_("classification"));
+    G_add_keyword(_("signatures"));
     module->label =
 	_("Generates spectral signatures for an image by allowing the user "
 	  "to outline regions of interest.");

imagery/i.gensig/main.c

@@ -40,6 +40,7 @@ int main(int argc, char *argv[])
     G_add_keyword(_("classification"));
     G_add_keyword(_("supervised"));
     G_add_keyword(_("MLC"));
+    G_add_keyword(_("signatures"));
     module->description =
 	_("Generates statistics for i.maxlik from raster map.");
 

imagery/i.gensigset/main.c

@@ -41,6 +41,7 @@ int main(int argc, char *argv[])
     G_add_keyword(_("classification"));
     G_add_keyword(_("supervised"));
     G_add_keyword(_("SMAP"));
+    G_add_keyword(_("signatures"));
     module->description =
 	_("Generates statistics for i.smap from raster map.");
 

imagery/i.landsat.acca/main.c

@@ -103,7 +103,7 @@ int main(int argc, char *argv[])
     module->description =
 	_("Performs Landsat TM/ETM+ Automatic Cloud Cover Assessment (ACCA).");
     G_add_keyword(_("imagery"));
-    G_add_keyword(_("landsat"));
+    G_add_keyword(_("Landsat"));
     G_add_keyword(_("acca"));
     
     band_prefix = G_define_option();

imagery/i.landsat.toar/i.landsat.toar.html

@@ -202,9 +202,10 @@ i.landsat.toar input_prefix=203_30. output_prefix=_toar \
 <h2>SEE ALSO</h2>
 
 <em>
-  <a href="i.atcorr.html">i.atcorr</a>,
-  <a href="r.mapcalc.html">r.mapcalc</a>,
-  <a href="r.in.gdal.html">r.in.gdal</a>
+<a href="i.aster.toar.html">i.aster.toar</a>,
+<a href="i.atcorr.html">i.atcorr</a>,
+<a href="r.mapcalc.html">r.mapcalc</a>,
+<a href="r.in.gdal.html">r.in.gdal</a>
 </em>
 
 <h2>AUTHOR</h2>

imagery/i.landsat.toar/main.c

@@ -67,9 +67,11 @@ int main(int argc, char *argv[])
 	_("Calculates top-of-atmosphere radiance or reflectance and temperature for Landsat MSS/TM/ETM+.");
     G_add_keyword(_("imagery"));
     G_add_keyword(_("radiometric conversion"));
-    G_add_keyword(_("landsat"));
-    G_add_keyword(_("top-of-atmosphere reflectance"));
-    G_add_keyword(_("dos-type simple atmospheric correction"));
+    G_add_keyword(_("radiance"));
+    G_add_keyword(_("reflectance"));
+    G_add_keyword(_("brightness temperature"));
+    G_add_keyword(_("Landsat"));
+    G_add_keyword(_("atmospheric correction"));
     module->overwrite = TRUE;
     
     /* It defines the different parameters */

imagery/imageryintro.html

@@ -61,8 +61,9 @@ GRASS is able to geocode raster and image data of various types:
  defining a certain number of ground control points 
  (<a href="i.group.html">i.group</a>, <a href="i.target.html">i.target</a>,
  <a href="i.points.html">i.points</a>, <a href="i.rectify.html">i.rectify</a>)</li>
+<li>interactive graphical <a href="wxGUI.gcp.html">Ground Control Point (GCP) manager</a></li>
 <!--
-<li>orthophoto based on DEM: <a href="i.ortho.photo.html">i.ortho.photo</a></li>
+<li>orthophoto generation based on DEM: <a href="i.ortho.photo.html">i.ortho.photo</a></li>
 <li>digital handheld camera geocoding: modified procedure for
     <a href="i.ortho.photo.html">i.ortho.photo</a></li>
 -->
@@ -119,12 +120,11 @@ GRASS supports the following methods:
     or <a href="g.gui.iclass.html">g.gui.iclass</a>, <a href="i.maxlik.html">i.maxlik</a>)
    using the Maximum Likelihood classification method</li>
   </ul>
-<li> Combined radiometric/geometric (segmentation based) supervised
-   classification (<a href="i.gensigset.html">i.gensigset</a>,
+<li> Combined radiometric/geometric (segmentation based) classification:
+  <ul>
+  <li> Supervised classification (<a href="i.gensigset.html">i.gensigset</a>,
    <a href="i.smap.html">i.smap</a>)
-</ul>
-
-<ul>
+  </ul>
 <li> Object-oriented classification:
   <ul>
   <li> Unsupervised classification (segmentation based: 
@@ -133,7 +133,8 @@ GRASS supports the following methods:
 </ul>
   
 Kappa statistic can be calculated to validate the results
-(<a href="r.kappa.html">r.kappa</a>).
+(<a href="r.kappa.html">r.kappa</a>). Covariance/correlation matrices can be
+calculated with <a href="r.covar.html">r.covar</a>.
 
 <h3>Image fusion</h3>
 
@@ -143,6 +144,16 @@ channels. GRASS provides the HIS (<a href="i.rgb.his.html">i.rgb.his</a>,
 <a href="i.his.rgb.html">i.his.rgb</a>) and the Brovey and PCA transform
 (<a href="i.pansharpen.html">i.pansharpen</a>) methods.
 
+<h3>Radiometric corrections</h3>
+
+Atmospheric effects can be removed with <a href="i.atcorr.html">i.atcorr</a>.
+Correction for topographic/terrain effects is offered in <a href="i.topo.corr.html">i.topo.corr</a>.
+Clouds in LANDSAT data can be identified and removed with
+<a href="i.landsat.acca.html">i.landsat.acca</a>.
+Calibrated digital numbers of LANDSAT and ASTER imagery may be converted to
+top-of-atmosphere radiance or reflectance and temperature (<a href="i.aster.toar.html">i.aster.toar</a>,
+<a href="i.landsat.toar.html">i.landsat.toar</a>).
+
 <h3>Time series processing</h3>
 
 GRASS also offers support for time series processing (<a

scripts/i.tasscap/i.tasscap.py

@@ -36,6 +36,8 @@
 #% description: Performs Tasseled Cap (Kauth Thomas) transformation for LANDSAT-TM data.
 #% keywords: imagery
 #% keywords: transformation
+#% keywords: Landsat
+#% keywords: Tasseled Cap transformation
 #%end
 #%flag
 #% key: 4