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Background Information: That data came from Monroe Mountain, Utah which is considered a sky island. High elevated isolated mountains surrounded on all sides by lower elevation landscapes. These mountains have a long history of different disturbances which has led to a decline in native aspen stands and different conservation efforts.
Lab Information: The lab objective was to compare/show the advantages and disadvantages between the 10 meter NED DEM, 5 meter autocorrelated DEM and a .5 meter LIDAR. I collected the data from Utah AGRC (Automated Geographic Reference Center). These are all created completely differently but some might show similarities or differences. Depending on how you want to use your data you have to know the differences in order to have accurate data representation. All images are focusing on Signal Peak
DEM Resolution Comparisons
10 Meter NED DEM
Is interpolated process pulled from contour maps and then uses known elevations to fill the rest of the data that is not known and builds a digital elevation surface.
5 Meter Autocorrelated DEM
Is created by using aerial images. Known data points are pin down and then it fills in the data in the unknown points. This model is best for visualization but if you are focusing in doing analysis of the surface then it would be best to use the 10m DEM or the .5m. This is because vegetation can get in the way.
.5 Meter Lidar
Is created by a reflective beam where we can take an intensity of a return and created a first return elevation model. On the second time you have to smooth out off of the features and obstructions. This is the truest and most accurate data we can usually acquire for a landscape. It shows the elevation in high detail like shown in the map. It has a couple of disadvantages like penetrating water and having things that might be of interests actually removed. Also it has very large data files which makes data a bit harder to interpret.
Contour Lines
If you look closely the 10m DEM and the .5m LIDAR look pretty similar. You see the most difference in the 5 auto-correlated DEM.
Map Created: February 15th, 2021
Author: Steph Aristizabal
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