split mltrain into traindata (enabling extration of preliminary tree …

…map in rast and vect format) and mltrain (doing the random forest training)

grass-gis-addons/m.analyse.trees/m.analyse.trees.html

@@ -49,5 +49,6 @@ <h2>AUTHORS</h2>
 Momen Mawad, <a href="https://www.mundialis.de/">mundialis</a>, mawad at mundialis.de
 <p>
 Lina Krisztian, <a href="https://www.mundialis.de/">mundialis</a>, krisztian at mundialis.de
-
+<p>Guido Riembauer, <a href="https://www.mundialis.de/">mundialis</a>, riembauer at mundialis.de</p>
+<p>Victoria-Leandra Brunn, <a href="https://www.mundialis.de/">mundialis</a>, brunn at mundialis.de</p>
 

grass-gis-addons/m.analyse.trees/r.trees.mltrain/r.trees.mltrain.html

@@ -22,15 +22,10 @@ <h3>Generation of training data for tree and non-tree classification</h3>
                 ndgb_raster=top.ndgb \
                 ndsm=ndsm \
                 slope=ndsm_slope \
-                nearest=trees_nearest \
-                peaks=trees_peaks \
+                trees_pixel_ndvi=trees_pixel_ndvi \
+                trees_raw_rast=trees_raw_rast \
                 group=ml_input \
                 save_model=ml_trees_randomforest.gz \
-                ndvi_threshold=130 \
-                nir_threshold=130 \
-                ndsm_threshold=1 \
-                slopep75_threshold=70 \
-                area_threshold=5 
 </pre></div>
 
 <h2>SEE ALSO</h2>
@@ -44,4 +39,7 @@ <h2>SEE ALSO</h2>
 
 <h2>AUTHOR</h2>
 
-Markus Metz, <a href="https://www.mundialis.de/">mundialis</a>, metz at mundialis.de
+<p>Markus Metz, <a href="https://www.mundialis.de/">mundialis</a>, metz at mundialis.de</p>
+<p>Lina Krisztian, <a href="https://www.mundialis.de/">mundialis</a>, krisztian at mundialis.de</p>
+<p>Guido Riembauer, <a href="https://www.mundialis.de/">mundialis</a>, riembauer at mundialis.de</p>
+<p>Victoria-Leandra Brunn, <a href="https://www.mundialis.de/">mundialis</a>, brunn at mundialis.de</p>