[GRASS-SVN] r55373 - grass-promo/grassposter/2013_EGU_G7

svn_grass at osgeo.org svn_grass at osgeo.org
Wed Mar 13 22:32:41 PDT 2013


Author: ychemin
Date: 2013-03-13 22:32:41 -0700 (Wed, 13 Mar 2013)
New Revision: 55373

Modified:
   grass-promo/grassposter/2013_EGU_G7/poster.tex
Log:
Segmentation text and references addition, clean up

Modified: grass-promo/grassposter/2013_EGU_G7/poster.tex
===================================================================
--- grass-promo/grassposter/2013_EGU_G7/poster.tex	2013-03-14 04:11:28 UTC (rev 55372)
+++ grass-promo/grassposter/2013_EGU_G7/poster.tex	2013-03-14 05:32:41 UTC (rev 55373)
@@ -42,14 +42,14 @@
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Abstract}{
-\small GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization [1].
+\small GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System),
+is a free Geographic Information System (GIS) software used for geospatial data management and analysis,
+image processing, graphics/maps production, spatial modeling, and visualization [1].
 
 GRASS GIS 7 started its development by the branching out of GRASS GIS 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 
 are still underway.
 \begin{itemize}
-% commented, not that important
-% \item Display library in GRASS 7 (planning \& ongoing)
  \item Raster library in GRASS 7 (ongoing)
  \item Vector library in GRASS 7 (ongoing)
  \item Raster3D (volume) library and modules in GRASS 7 (finished)
@@ -84,9 +84,9 @@
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Object recognition}{
-\small The module i.segment is a region growing image segmentation algorithm [3].
-It produces a raster map with segments (objects), and optionally other maps with segments statistics 
-(mean/variance/range/etc.). 
+\small The module i.segment [3] is using a region growing algorithm [4], some ideas 
+have also been implemented from [5]. It produces a raster map with segments (objects), 
+and optionally other maps with segments statistics (mean/variance/range/etc.). 
 \begin{center}
  \includegraphics[width=0.48\textwidth]{./images/sltsu.png}
  \hspace{10mm}
@@ -116,20 +116,12 @@
 
 {\bf Actual ET: i.eb.* modules using thermodynamic heat flux modeling}
 
-% \begin{equation}\label{eq1}
-% \Lambda = \frac {Rn - G - H} {Rn - G}
-% \end{equation}
-% 
-% \begin{equation}\label{eq2}
-% ET_a = \Lambda \, ET_{potential}
-% \end{equation}
-
 \begin{center}
- \includegraphics[width=0.32\textwidth]{./images/slet2005}
+ \includegraphics[width=0.315\textwidth]{./images/slet2005}
  \hspace{20mm}
- \includegraphics[width=0.32\textwidth]{./images/slet2010}
+ \includegraphics[width=0.315\textwidth]{./images/slet2010}
  \newline
- Figure 3: Actual evapotranspiration (i.eb.*) for water monitoring and management [4]
+ Figure 3: Actual evapotranspiration (i.eb.*) for water monitoring and management [6]
 \end{center}
 }
 
@@ -139,7 +131,7 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Interactive supervised classification}{
 \small 
-This interactive tool [5], aims at greatly simplifying quantitative surpervised class training areas creation.
+This interactive tool [7], aims at greatly simplifying quantitative surpervised class training areas creation.
 It calculates the spectral signatures based on the cells within the specified areas. 
 The resulting signature file can be used by a maximum likelihood classification module (i.maxlik). 
 During the process the user is shown a histogram of the area cell values for each image band, 
@@ -163,21 +155,20 @@
 \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
-On-farm water storage study with lidar data in NSW (Australia) permitted to develop the 
-first full remote sensing monitoring methodology of water availability by a combination of 
-lidar-based bathymetric survey and multi-source remote sensing water area regular survey [6].\newline
+On-farm water storage study with lidar data in NSW (Australia) developed a full remote sensing monitoring methodology
+of water availability with lidar-based bathymetric survey and multi-source remote sensing survey [8].\newline
 \begin{center}
  \includegraphics[width=0.4\textwidth]{./images/ofs1}
  \hspace{10mm}
  \includegraphics[width=0.275\textwidth]{./images/ofs2}
  \newline
- Figure 5: On-Farm-Water-Storage Lidar survey and Depth-Volume-Area surveying [6]
+ Figure 5: On-Farm-Water-Storage Lidar survey and Depth-Volume-Area surveying [8]
 \end{center}
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \blocknode{Other Improvements \& Additions}{
-\medskip
+\smallskip
 \small 
 
 {\bf Remanufacturing, performance improvement}
@@ -187,7 +178,7 @@
  \item {\bf i.atcorr} atmospheric correction, more satellite sensors configured, faster
  \item {\bf i.pca} backward modeling implemented 
 \end{itemize}
-\vspace{15pt}
+
 {\bf Preparing Landsat, Aster and MODIS datasets}
 
 \begin{itemize}
@@ -195,25 +186,22 @@
  \item {\bf i.aster.toar} TOA reflectance correction for Terra-ASTER
  \item {\bf i.modis.qc} Quality flag interpretation for Terra/Aqua MODIS
 \end{itemize}
-\vspace{15pt}
+
 {\bf Geographical and astronomic functions}
 
 \begin{itemize}
  \item {\bf i.latlong} maps latitude or longitude (dd.ddd)
  \item {\bf i.sunhours} maps potential hours of sunshine in a day at a given location (hh.hhh)
+ \item {\bf r.sun.angle} maps the sun elevation and sun azimuth angles for the given time of day
 \end{itemize}
-\vspace{15pt}
+
 {\bf Temporal cleaning and smoothing}
 
-%%% Since being the only comment, taken out to gain vertical space:
-% A dedicated time-series environment (modules starting with t.*) is being developed for GRASS 7, 
-% the following functions initially developed for NDVI temporal interpolation and maximization might 
-% find their way in the t.* modules.
 \begin{itemize}
  \item {\bf r.hants} Fourier temporal smoothing
  \item {\bf i.lmf} Local maximum fitting of temporal data
 \end{itemize}
-\vspace{15pt}
+
 {\bf Multi- and hyperspectral data analysis}
 
 \begin{itemize}
@@ -222,25 +210,24 @@
 }
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-% \initializesizeandshifts
 \getcurrentrow{box}
 \coordinate (funkcionalita) at (box.south west);
 \coordinate (funkcionalitaeast) at (box.east);
 \coordinate (screenshot) at (box.north west);
-% \getcurrentrow{box}
 \blocknodew[($(funkcionalita)+(20,-1)$)]{35}{References}{
 \scriptsize
 \begin{center}
 \begin{tabular}{rp{0.9\textwidth}}
-[1] & Neteler \& Bowman \&  Landa \& Metz, 2012: GRASS GIS: a multi-purpose
-Open Source GIS. Environ Model Soft, 31:124-130\\{}
-% , DOI: 10.1016/j.envsoft.2011.11.014.\\{}
+[1] & Neteler \& Bowman \&  Landa \& Metz, 2012. Environment \& Modeling Software, 31:124-130\\{}
 [2] & Petráš, 2012. M.Sc. Thesis, OSGeoREL, FCE CTU, Prague.\\{}
-[3] & Momsen \& Metz, 2012. i.segment module. Geographic Resources
-Analysis Support System (GRASS GIS) Software, Version 7.\\{}
-[4] & Chemin, 2012. Chapter 19, DOI: 10.5772/23571 ({\url {http://bit.ly/16qJOep}})\\{}
-[5] & Kratochvílová \& Petráš, 2013. OSGeoREL, FCE CTU, Prague.\\{}
-[6] & Chemin \& Rabbani, 2011. International Journal of Geoinformatics,  7(3):1-6pp.
+[3] & Momsen \& Metz, 2012. i.segment module. GRASS GIS Software, Version 7.\\{}
+[4] & Sant'Anna Bins \& Fonseca \& Erthal \& Misuo, 1996. Anais VIII Simpósio Brasileiro de Sensoria.
+Rem., Salvador, Brasil, INPE, 677-680.\\{}
+[5] & Athelogou \& Schmidt \& Schäpe \& Baatz \& Binnig, 2007. Imaging Cellular \& Molecular Biological
+Functions, 407-422.\\{}
+[6] & Chemin, 2012. Chapter 19, DOI: 10.5772/23571 ({\url {http://bit.ly/16qJOep}})\\{}
+[7] & Kratochvílová \& Petráš, 2013. OSGeoREL, FCE CTU, Prague.\\{}
+[8] & Chemin \& Rabbani, 2011. International Journal of Geoinformatics,  7(3):1-6.
 \end{tabular}
 \end{center}
 \smallskip



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