I finally got the processing of the geotiffs from <a href="http://nassgeodata.gmu.edu/CropScape/">http://nassgeodata.gmu.edu/CropScape/</a> to work properly and was advised to report it here so others can follow if they want to.<br>
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<p class="MsoNormal">The objective of this processing was to compute statistics (number of pixels of each value/category)
for each area I’m interested in (Areas equivalent to Counties in the
whole Country) anf for which I had a vector layer (shapefile) prepared.</p><p class="MsoNormal"><br></p><p style="margin-left:.5in">Thanks to the help of Micha Silver, I got to the final procedure used and here it is:</p>
<p style="margin-left:.5in"><span>1.<span style="font:7.0pt "Times New Roman""> </span></span>Downloaded the raster image from Cropspace (WGS84/Lag/long)</p><p style="margin-left:.5in"><span>2.<span style="font:7.0pt "Times New Roman""> </span></span>Imported the raster image into GRASS</p>
<p style="margin-left:.5in"><span>3.<span style="font:7.0pt "Times New Roman""> </span></span>Imported the area vector layer from a Shape file</p><p style="margin-left:.5in"><span>4.<span style="font:7.0pt "Times New Roman""> </span></span>Added centroids to the shape file (v.centroids)</p>
<p style="margin-left:.5in"><span>5.<span style="font:7.0pt "Times New Roman""> </span></span>Converted the vector layer into raster (v.to.rast using attr as values)</p><p style="margin-left:.5in"><span>6.<span style="font:7.0pt "Times New Roman""> </span></span>Computed
statistics for my raster layers using r.stats -c -a (gives me a table
with the sums of each combination of values in both layers. Filtering
this database for each value found in the area layer, I have the
statistics about the crop layer for each one of my areas</p><p> </p><p style="margin-left:.25in">It
worked beautifully, and the next step is to generate a batch/script
file to extend the analysis to the whole country and multiple years
(probably using Python, which I used before, or a DOS batch).</p><p style="margin-left:.25in"> </p><p>Thanks to Micha again,</p><p>Pedro<br></p>