panolowerskinup.jpg
introduction methodology results discussion references
 

A large problem occurred with the DEM resolution. The level of detail needed to identify different runs of a given mountain wasn’t possible with 30m DEMs. 10m DEMs (if they exist) would be detailed enough to correlate the slopes on ArcMap to the trail map runs of Whistler. Because of this problem, I had to instead, look at large regions of slopes per mountain and compare mountains with one another. 

ArcSlopeTIN.jpgI wanted to compare maps made from raster to those same maps created from vector. I quickly found that using the raster as a base for aspect and slope maps is a much better approach. Since the vector base used was a TIN, the slope map and especially aspect map proved to be an unnessesary array of triangles. However, the slope map does confirm the unusually moderate slope of Whistler, and the very high slopes of Garibaldi Park. 
From the DEM and Google Earth, the elevations of peaks throughout Garibaldi could be determined. Then, along with the elevations from the same DEM and table below, the heights could be compared. It would be interesting to see how tall the highest peaks are in Garibaldi since the tallest peaks could offer the most shade and be at the coldest altitude in the region. If this is true, then those tall points also probably have the longest year round snow cover.
WhistlerData.bmp 



whistler.jpg

Ari Shamash
Last modified on Dec. 2010