[GRASS-SVN] r55354 - grass-promo/grassposter/2013_EGU_G7
svn_grass at osgeo.org
svn_grass at osgeo.org
Wed Mar 13 04:05:22 PDT 2013
Author: annakrat
Date: 2013-03-13 04:05:21 -0700 (Wed, 13 Mar 2013)
New Revision: 55354
Modified:
grass-promo/grassposter/2013_EGU_G7/poster.tex
Log:
2013_EGU_G7: cleaning from negative vspaces and innerblocks
Modified: grass-promo/grassposter/2013_EGU_G7/poster.tex
===================================================================
--- grass-promo/grassposter/2013_EGU_G7/poster.tex 2013-03-13 10:47:03 UTC (rev 55353)
+++ grass-promo/grassposter/2013_EGU_G7/poster.tex 2013-03-13 11:05:21 UTC (rev 55354)
@@ -40,6 +40,7 @@
\addlogo[north west]{(2,-1)}{9cm}{./svg_images/Grass_GIS.pdf}
\addlogo[north east]{(-2,-2.5)}{11cm}{./svg_images/IWMI_logo.pdf}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Abstract}{
\small GRASS 7 started its development by the branching out of GRASS 6.x from the main trunk of code (rev 31142).
This was done on 27th of April 2008, and a large amount of changes took place since that date, more
@@ -55,6 +56,7 @@
GRASS GIS capacity in remote sensing has also been under great changes and additions for version 7.
}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Linear features extraction}{
\small
An edge is considered as a change in image digital values.
@@ -77,6 +79,7 @@
\end{center}
}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Object recognition}{
\small The module i.segment is a region growing image segmentation algorithm [2].
It produces a raster map with segments (objects), and optionally other maps with segments statistics
@@ -90,8 +93,8 @@
\end{center}
}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Satellite imagery products}{
-\innerblockplain[colortwo!80!]{
\small
\begin{itemize}
\item {\bf i.vi} 15 vegetation indices available
@@ -126,15 +129,12 @@
Figure 3: Actual evapotranspiration (i.eb.*) for water monitoring and management [3]
\end{center}
}
-\vspace*{-25pt}
-}
\startsecondcolumn
-
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Interactive supervised classification}{
-\innerblockplain[colortwo!80!]{
\small
This interactive tool [4], aims at greatly simplifying quantitative surpervised class training areas creation.
It calculates the spectral signatures based on the cells within the specified areas.
@@ -153,12 +153,10 @@
Figure 4: Interactive image classification with coincidence plots (left side) \& histograms (right side)
\end{center}
}
-\hspace*{-25pt}
-}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Lidar}{
\medskip
-\innerblockplain[colortwo!80!]{
\small The Lidar library ({\url {www.liblas.org}}) included in GRASS GIS permits the import of Lidar (.las)
data in raster (r.in.lidar using statistics of choice) or in vector format (v.in.lidar).
Author Markus Metz tested r.in.lidar with a 705Gb .las file. \newline
@@ -173,11 +171,10 @@
Figure 5: On-Farm-Water-Storage Lidar survey and Depth-Volume-Area surveying [5]
\end{center}
}
-\vspace*{-25pt}
-}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\blocknode{Other Improvements \& Additions}{
\medskip
-\innerblockplain[colortwo!80!]{
\small
{\bf Remanufacturing, performance improvement}
@@ -213,9 +210,8 @@
\item {\bf i.lmf} Local maximum fitting of temporal data
\end{itemize}
}
-\vspace*{-25pt}
-}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% \initializesizeandshifts
\getcurrentrow{box}
\coordinate (funkcionalita) at (box.south west);
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