Multi-sensor data fusion for remote sensing of post-eruptive deformation and depositional features at Redoubt Volcano

Monitoring volcanic activity by remote sensing is an essential component of volcanology. Remote sensing includes a variety of different sensing methods and instruments that collect data across a wide range of the electromagnetic spectrum. This study presents an overview of the improvements that are...

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Published inJournal of volcanology and geothermal research Vol. 259; pp. 414 - 423
Main Authors McAlpin, David, Meyer, Franz J.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2013
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ISSN0377-0273
1872-6097
DOI10.1016/j.jvolgeores.2012.08.006

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Abstract Monitoring volcanic activity by remote sensing is an essential component of volcanology. Remote sensing includes a variety of different sensing methods and instruments that collect data across a wide range of the electromagnetic spectrum. This study presents an overview of the improvements that are available to remote sensing imaging with multi-sensor and multi-temporal data fusion of optical and radar data, using Redoubt Volcano and related 2009 Drift River lahar deposits as a target area. From ALOS-PRISM data, high resolution DEMs were produced and used to generate elevation change maps of Redoubt Volcano and the Drift River, and to estimate the volcano's dome volume; these DEMs were then fused with ALOS-PALSAR radar images to produce differential interferograms demonstrating the effect of high-resolution DEMs on surface deformation measurements from interferometric radar data; and finally, multi-temporal InSAR coherence data were used to plot the boundaries of lahar flows at the distal end of the Drift River with high accuracy. These techniques demonstrate: (1) how the fusion of data from multiple sensors acquired at multiple temporal intervals can substantially increase the accuracy and precision of remote sensing measurements compared to those from one sensor alone; (2) how data fusion techniques can improve remote sensing change detection in areas otherwise ill-suited for single sensor observations; and (3) how data subject to temporal decorrelation may be used for boundary mapping with high accuracy. In addition to volcanic deformation, these methods can be applied to a number of disciplines, and will become more essential as the number of earth observing satellites increase. ► In this study, we generate elevation change maps of Redoubt Volcano and vicinity, and estimate the Volcano's dome volume. ► We fuse DEMs with InSAR images to demonstrate the positive effect of high-resolution DEMs on deformation measurements. ► Multi-temporal InSAR coherence data was used to plot lahar flows in the Drift River with high accuracy. ► We show that fusion of data from multiple sensors can substantially increase accuracy compared to data from one sensor alone.
AbstractList Monitoring volcanic activity by remote sensing is an essential component of volcanology. Remote sensing includes a variety of different sensing methods and instruments that collect data across a wide range of the electromagnetic spectrum. This study presents an overview of the improvements that are available to remote sensing imaging with multi-sensor and multi-temporal data fusion of optical and radar data, using Redoubt Volcano and related 2009 Drift River lahar deposits as a target area. From ALOS-PRISM data, high resolution DEMs were produced and used to generate elevation change maps of Redoubt Volcano and the Drift River, and to estimate the volcano's dome volume; these DEMs were then fused with ALOS-PALSAR radar images to produce differential interferograms demonstrating the effect of high-resolution DEMs on surface deformation measurements from interferometric radar data; and finally, multi-temporal InSAR coherence data were used to plot the boundaries of lahar flows at the distal end of the Drift River with high accuracy. These techniques demonstrate: (1) how the fusion of data from multiple sensors acquired at multiple temporal intervals can substantially increase the accuracy and precision of remote sensing measurements compared to those from one sensor alone; (2) how data fusion techniques can improve remote sensing change detection in areas otherwise ill-suited for single sensor observations; and (3) how data subject to temporal decorrelation may be used for boundary mapping with high accuracy. In addition to volcanic deformation, these methods can be applied to a number of disciplines, and will become more essential as the number of earth observing satellites increase.
Monitoring volcanic activity by remote sensing is an essential component of volcanology. Remote sensing includes a variety of different sensing methods and instruments that collect data across a wide range of the electromagnetic spectrum. This study presents an overview of the improvements that are available to remote sensing imaging with multi-sensor and multi-temporal data fusion of optical and radar data, using Redoubt Volcano and related 2009 Drift River lahar deposits as a target area. From ALOS-PRISM data, high resolution DEMs were produced and used to generate elevation change maps of Redoubt Volcano and the Drift River, and to estimate the volcano's dome volume; these DEMs were then fused with ALOS-PALSAR radar images to produce differential interferograms demonstrating the effect of high-resolution DEMs on surface deformation measurements from interferometric radar data; and finally, multi-temporal InSAR coherence data were used to plot the boundaries of lahar flows at the distal end of the Drift River with high accuracy. These techniques demonstrate: (1) how the fusion of data from multiple sensors acquired at multiple temporal intervals can substantially increase the accuracy and precision of remote sensing measurements compared to those from one sensor alone; (2) how data fusion techniques can improve remote sensing change detection in areas otherwise ill-suited for single sensor observations; and (3) how data subject to temporal decorrelation may be used for boundary mapping with high accuracy. In addition to volcanic deformation, these methods can be applied to a number of disciplines, and will become more essential as the number of earth observing satellites increase. ► In this study, we generate elevation change maps of Redoubt Volcano and vicinity, and estimate the Volcano's dome volume. ► We fuse DEMs with InSAR images to demonstrate the positive effect of high-resolution DEMs on deformation measurements. ► Multi-temporal InSAR coherence data was used to plot lahar flows in the Drift River with high accuracy. ► We show that fusion of data from multiple sensors can substantially increase accuracy compared to data from one sensor alone.
Author Meyer, Franz J.
McAlpin, David
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  publication-title: Canadian Journal of Remote Sensing
  doi: 10.5589/m10-014
– volume: 105
  year: 2000
  ident: 10.1016/j.jvolgeores.2012.08.006_bb0125
  article-title: Synthetic aperture radar interferometry of Okmok volcano, Alaska: radar observations
  publication-title: Journal of Geophysical Research
  doi: 10.1029/2000JB900034
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Snippet Monitoring volcanic activity by remote sensing is an essential component of volcanology. Remote sensing includes a variety of different sensing methods and...
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SubjectTerms Deformation
DEM
Fusion
InSAR
Lahar
Remote sensing
Title Multi-sensor data fusion for remote sensing of post-eruptive deformation and depositional features at Redoubt Volcano
URI https://dx.doi.org/10.1016/j.jvolgeores.2012.08.006
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