Introduction
The purpose of this lab is to set up a micro topographic
profile of the area with the use of a Topcon Total Station. Measurements taken
by this survey method were then used to create a digital elevation model (DEM)
of the study area.
Study area
Map one. Study area for total station demo.
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As this exercise was designed to introduce students to the
concepts of total station data recording it was unnecessary to go far from
campus. The total station was set up just a few meters west of Phillips Science
Hall on the University of Wisconsin Eau Claire campus (Map one).
Methods
The first step of this project was the initial set up of the Topcon total station. Students did not participate in this task as course instructor Dr. Hupy completed it before their arrival. When setting up a total station there are several expectations that need to be met in order for data to be recorded properly. The operators need to define an occupied point, this is place which the total station occupies; essentially the central hub of the study area. The occupied point is recorded by a high accuracy GPS reading in the same fashion as those done in the previous lab, the total station is then placed directly above it. The height of the Topcon unit above ground level is then measured and defined in the software. This is a very important step in setup as the height measurement is necessary to be able to accurately measure elevation of the stadia rod via relative comparison. The final step for getting the total station ready is to define where due north is in relation to the occupied point. This direction is entered into the machine allowing it to record accurate azimuth measurements. Once the total station is set up it is very important not to touch the sensor, or the tripod on which it stands. The slightest disturbance will throw survey points off by a very large amount.
Figure one. Students collecting survey points with total
station. Note the stadia rod being held by the student in the foreground and
total station in the background.
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Once all points were collected they were exported from the total station as a comma delaminated text file. This file was then converted to an Excel spreadsheet and uploaded as a new feature class to ESRI ArcMap with the create feature from XY coordinates tool. This new feature class was then ready to go through the processes of 3d interpolation to create a DEM of the area. A Kriging interpolation method was used to display the results in three dimensions through ESRI’s ArcScene program.
Results/discussion
Map two. Total station survey results shown in two
dimensions with Kriging interpolation raster. Contour intervals generated from
this raster at half meter intervals.
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Figure two. Total station survey results shown in three
dimensions with Kriging interpolation, elevation data exaggerated five times.
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Despite the setup being longer than with a survey GPS unit there
are several advantages of a total station in comparison. A total station
doesn’t have any interference problems relating to picking up satellite
signals. So, once an occupied point is defined other points can be recorded in
areas where satellite signals would be impossible to detect with a GPS device.
The operation of the stadia rod is also a lot faster than using a survey GPS
for individual points. The elevation measurements are also far more accurate
than those taken by a survey grade GPS device.
Total stations have several disadvantages as well, chief
amongst them being the small area which can be recorded without moving the
station to a different occupied point. The stadia rod will not receive any
laser signal from the total station if there is an object obstructing the two
devices. The stadia rod may have to be extended if the area being measured is
at a significantly low elevation. This leaves a lot of room for errors in
measurements as it introduces a human component to the survey process. As with
other point based surveys, a total statin survey is still subject to the
limitations of a survey which doesn’t equally represent the area of interest
well. In this survey the lack of representation is most apparent on the edges
of the Kriging raster, as one would expect the river banks to be of similar
elevation for the entire length of the stream. In the survey it appears as if
it is a depression and not a stream. In order to correct this issue, which is
partially due to the interpolation technique, one would either have to accept a
smaller focus area from the existing data or collect more points to correct
fill in the gaps.
Conclusion
Students were introduced to a total station survey device
built by Topcon by collecting points in pairs. As a class a survey of the area West
of UWEC’s Phillip’s Science hall was completed. This survey data was then exported
from the total station to a comma delimited text file. This file was then
imported to ArcMap and used to visualize the survey area in both two and three
dimensions by converting the point feature class to an interpolated raster file.
From this analysis it was easy to see changes in elevation across the survey
area and places where additional survey points could be used were identified.
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