For this lab, I
used the Little Colorado River dataset.
To find it, I looked it up on Google Maps, and then found the
approximate location on the USGS Seamless Server. To derive the sediment transport index, I
used a variety of steps which we learned in class. What follows is a summary of what I did. First, I unzipped the DEM and loaded it into
ArcGIS. Then, I took the DEM and
converted it from the GCS North America 1983 geographic coordinate system into
the USA Contiguous Albers Equal Area projected coordinate system.
After
inserting the new map into a new dataframe, I filled the sinks and created a
new raster from that data. Then, I
created Flow Accumulation and Direction maps.
Next, I used the raster calculator to find streams with a value greater
than that of 3000. After using this data
to create a stream network map, I used the stream to feature function to create
a vector map from the stream link data.
Then,
I created a pour point at the beginning of the Little Colorado River, and
calculated a watershed like I did in Lesson 3.
I also did the operations to calculate sediment deposition. When creating my map, I had a great deal of
difficulty including the sediment data into the map. I couldn’t fit the entire stream data into my
map, so I included the watershed of the area, and a legend with the Sediment
Deposition per Square Meter. I apologize
if this isn’t exactly what was asked for, and I can make changes if needed.
