1 Detection of abrupt baseline length changes using cumulative sums
Dynamic processes are usually monitored by collecting a time series of observations, which is then analysed in order to detect any motion or non-standard behaviour. Geodetic examples include the monitoring of dams, bridges, high-rise buildings, landslides, volcanoes and tectonic motion. The cumulati...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.545.5617 2023-05-15T13:22:02+02:00 1 Detection of abrupt baseline length changes using cumulative sums Volker Janssen The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.5617 http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.5617 http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf GPS baseline length changes deformation monitoring Amery Ice Shelf text ftciteseerx 2016-01-08T11:16:17Z Dynamic processes are usually monitored by collecting a time series of observations, which is then analysed in order to detect any motion or non-standard behaviour. Geodetic examples include the monitoring of dams, bridges, high-rise buildings, landslides, volcanoes and tectonic motion. The cumulative sum (CUSUM) test is recognised as a popular means to detect changes in the mean and/or the standard deviation of a time series and has been applied to various monitoring tasks. This paper briefly describes the CUSUM technique and how it can be utilised for the detection of small baseline length changes by differencing two perpendicular baselines sharing a common site. A simulation is carried out in order to investigate the expected behaviour of the resulting CUSUM charts for a variety of typical deformation monitoring scenarios. This simulation shows that using first differences (between successive epochs) as input, rather than the original baseline lengths, produces clear peaks or jumps in the differenced CUSUM time series when a sudden change in baseline length occurs. These findings are validated by analysing several GPS baseline pairs of a network deployed to monitor the propagation of an active ice shelf rift on the Amery Ice Shelf, East Antarctica. Text Amery Ice Shelf Antarc* Antarctica East Antarctica Ice Shelf Unknown Amery ENVELOPE(-94.063,-94.063,56.565,56.565) Amery Ice Shelf ENVELOPE(71.000,71.000,-69.750,-69.750) East Antarctica |
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Open Polar |
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language |
English |
topic |
GPS baseline length changes deformation monitoring Amery Ice Shelf |
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GPS baseline length changes deformation monitoring Amery Ice Shelf Volker Janssen 1 Detection of abrupt baseline length changes using cumulative sums |
topic_facet |
GPS baseline length changes deformation monitoring Amery Ice Shelf |
description |
Dynamic processes are usually monitored by collecting a time series of observations, which is then analysed in order to detect any motion or non-standard behaviour. Geodetic examples include the monitoring of dams, bridges, high-rise buildings, landslides, volcanoes and tectonic motion. The cumulative sum (CUSUM) test is recognised as a popular means to detect changes in the mean and/or the standard deviation of a time series and has been applied to various monitoring tasks. This paper briefly describes the CUSUM technique and how it can be utilised for the detection of small baseline length changes by differencing two perpendicular baselines sharing a common site. A simulation is carried out in order to investigate the expected behaviour of the resulting CUSUM charts for a variety of typical deformation monitoring scenarios. This simulation shows that using first differences (between successive epochs) as input, rather than the original baseline lengths, produces clear peaks or jumps in the differenced CUSUM time series when a sudden change in baseline length occurs. These findings are validated by analysing several GPS baseline pairs of a network deployed to monitor the propagation of an active ice shelf rift on the Amery Ice Shelf, East Antarctica. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Volker Janssen |
author_facet |
Volker Janssen |
author_sort |
Volker Janssen |
title |
1 Detection of abrupt baseline length changes using cumulative sums |
title_short |
1 Detection of abrupt baseline length changes using cumulative sums |
title_full |
1 Detection of abrupt baseline length changes using cumulative sums |
title_fullStr |
1 Detection of abrupt baseline length changes using cumulative sums |
title_full_unstemmed |
1 Detection of abrupt baseline length changes using cumulative sums |
title_sort |
1 detection of abrupt baseline length changes using cumulative sums |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.5617 http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf |
long_lat |
ENVELOPE(-94.063,-94.063,56.565,56.565) ENVELOPE(71.000,71.000,-69.750,-69.750) |
geographic |
Amery Amery Ice Shelf East Antarctica |
geographic_facet |
Amery Amery Ice Shelf East Antarctica |
genre |
Amery Ice Shelf Antarc* Antarctica East Antarctica Ice Shelf |
genre_facet |
Amery Ice Shelf Antarc* Antarctica East Antarctica Ice Shelf |
op_source |
http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.5617 http://eprints.utas.edu.au/8836/1/Janssen_JAG_2009_author_version.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766362940252880896 |