Jeff Holcomb, Paul Andrus, & Ryan Pierson of Utah State university

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<TITLE>Progress Report Number Three</TITLE>
<H1>Jeff Holcomb, Paul Andrus, & Ryan Pierson of Utah State university</H1>
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<H2>Progress Report Number Three</H2>
<P>We copied a previously compiled GIS from the Pasture directory that Paul has done for the Utah Division of Water Resources>Once the spatial attributes of this GIS were in our directory ,taking up loads of memory space, we clipped it to fit the cache_cty boundry from the GISClass directory.   It took us several tries to get it to fully copy because we were having some problems with memory space.  Once we finally accomplished this task and named it cache_lu, which can be found in our land-use directory, we decided to reclassify the image into 8 classes from the more than 30 previous ones.  Using an aml we created we assigned a color to each of the classes as follows:
Alfalfa     - Dark Green
Pasture     - Brown
Water       - Blue
Crops       - Light Green
Riparian    - Purple
Residential - Red
Public Areas- Pink 
Commercial  - Grey</P>
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<H2>Here is an idea of what the reclassifies version of Cache_lu will look like</H2>
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<P> Our goal was to overlay our cache_lu vector map over the DEM datafile so we could obtain a 3-D perspecive of our data.  To do this we had to a projectdefine on cache_lu.  We used a UTM projection.  Our projection was in zone 12 and the units were meteres.  We then used psuedo-colors to match the image to the cache-lu vector map already done</P>
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<H2>Here is an idea of what the DEM grid with psuedo colors will look like</H2>
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<P>Also we decided to rectify a tm image with a spot image of the same location to achieve 10m. resolution with all the spectral bands of a spot image.  To do this we created identical AOI`s of our study aread and saved them to our directory.  At this point we are in the process of enhancing the spatial resolution of our tm image using the spot image as our guide in order to obtain a 10m high quality resolution.</P>
<P>The GPS points we collected the previous week on the 27 of April were not able to be corrected because the correction charts were only available for the previous day however it was a valuable learning experience in the operation of a GPS.  We did use the Pfinder Program in the computer to compute the points using a UTM measurements for the Airport the GPS coordinates were 4626602m N and 420801m E an observation that was 23m N and 6m E off.  A grass field nearby the GPS calculated to be 462655m N and 420658m E an observation that was 6m N and 4m E off.  The GPS was highly erratic in its' measurment accuracy </P>
<P> Our project is approaching it's conclusion and although the loss of the GPS data is a setback we feel we are now prepared to present our project in class next week</P>
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