[GRASSweb-list]markus: web/intro main.inc,NONE,1.1

grass at intevation.de grass at intevation.de
Thu Nov 3 11:46:09 EST 2005

Author: markus

Update of /grassrepository/web/intro
In directory doto:/tmp/cvs-serv28248

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<h3>Geographic Resources Analysis Support System</h3>

Commonly referred to as GRASS, this is a Geographic Information
System (GIS) used for geospatial data management and analysis, image
processing, graphics/maps production, spatial modeling, and
visualization. GRASS is currently used in academic and commercial
settings around the world, as well as by many governmental agencies
and environmental consulting companies.

<h3>Who is using GRASS?</h3>

According to our download statistics, there are thousands of GRASS
users worldwide (please post your reference to get listed).

<li>ITC-irst, Italy: GRASS is used for 
    <a href="http://mpa.itc.it/pr-ux-ri-en.html">detection of unexploded bombs from World War II</a> as
    well as <a href="http://mpa.itc.it/pr-wi-ri.html">Road-kill risk maps</a> and other projects.</li>
<li>NOAA, USA: The GLOBE DEM was generated with GRASS: 
    <a href="http://www.ngdc.noaa.gov/mgg/topo/isprsdem.html">Development &amp; Assessment of the Global Land One-km Base Elevation Digital Elevation Model (GLOBE)</a></li>
<li>NOAA/NWS, USA: <a href="http://nws.noaa.gov/er/ohrfc"">The Ohio River Forecast Center (OHRFC)</a>.<br>
    <i>GRASS, R, and gstat are used for precipitation analyses, which focuses on
       determining the radar estimated precipitation bias relative to a rain
       gauge only estimate. GRASS is also used as part of the
       NOAA/NWS Advanced Hydrologic Prediction Services (AHPS) Ensemble Streamflow
       Prediction (ESP) probabilistic forecast process. For this they use 
       <a href="http://www.cpc.ncep.noaa.gov/products/predictions/610day/">NWS Climate
        Prediction Center (CPC) 6-to-10 day</a>, monthly, and
       <a href="http://www.cpc.ncep.noaa.gov/products/predictions/30day/">seasonal outlook grids</a>
       to make time series adjustments to the historical precipitation &amp; temperature inputs
       that drive their hydrologic models.</i></li>
<li>ORNL, USA: <a href="http://www.ornl.gov/sci/gist/">Geographic Information Science &amp; Technology Group</a>
    of Oak Ridge National Laboratory</li>

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