Geoinformation for Disaster and Risk Management - ISPRS
Geoinformation for Disaster and Risk Management - ISPRS
Geoinformation for Disaster and Risk Management - ISPRS
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Some results<br />
The LC PDGNSS system at Aggenalm passed the<br />
first practical test in winter 2008/09 very<br />
satisfactorily. Snow coverage of 2 metres <strong>and</strong><br />
temperatures below -15°C had no negative effects<br />
on the different components. A winter impression<br />
from the site is presented with Fig. 4. Data<br />
recording has operated without failure since<br />
February 2009. Springtime with snow melt, which<br />
is generally a period of extraordinary concern <strong>for</strong><br />
l<strong>and</strong>slide movement processes, <strong>and</strong> also a period<br />
of continuous <strong>and</strong> heavy rainfall in June 2009,<br />
could be completely observed.<br />
Figure 4: Winter impression at Aggenalm<br />
L<strong>and</strong>slide. The picture shows a Novatel PDGNSS<br />
sensor <strong>and</strong> the weather station.<br />
Figure 5: Shadowing situation at the Aggenalm. On the right an obstacle mask <strong>for</strong> the baseline between SN #1 <strong>and</strong><br />
#4 <strong>for</strong> a time slot of 2 hours in summer 2009.<br />
However, no detailed assessment of the slide will<br />
be per<strong>for</strong>med here. In focus is only the achievable<br />
data quality with the developed LC PDGNSS<br />
system.<br />
However, the “raw” GNSS solutions which means<br />
the epoch solutions from the baseline processing<br />
of each sensor on the slope, have to be filtered to<br />
reject outliers <strong>and</strong> to bypass gaps. Outliers mainly<br />
occur due to temporary bad satellite visibility<br />
(typically shadowing effects in mountainous areas).<br />
With an increased number of satellites in future,<br />
hopefully a much better coverage will be available<br />
<strong>and</strong> reliable GNSS-based positioning will be<br />
permanently possible, even under often restricted<br />
conditions at l<strong>and</strong>slide sites (see Fig. 5).<br />
The quality of the processed horizontal position<br />
raw data (height is worse by a factor of 3) of<br />
sensor #3 (Lampl Alm) <strong>for</strong> a selected day is shown<br />
as an example in Fig. 6. After the elimination of<br />
incorrect measurements the total variations of the<br />
horizontal positions are clearly less than 1.5cm.<br />
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