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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Bibliographic Details
Main Author: Volker Janssen
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
GPS
Online Access: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
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spelling 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
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic GPS
baseline length changes
deformation monitoring
Amery Ice Shelf
spellingShingle 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.
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