A clustering approach for the analysis of InSAR Time Series: application to the Bandung Basin (Indonesia)

Rygus, Michelle; Novellino, Alessandro; Hussain, Ekbal; Syafiudin, Fifik; Andreas, Heri; Meisina, Claudia. 2023 A clustering approach for the analysis of InSAR Time Series: application to the Bandung Basin (Indonesia). Remote Sensing, 15 (15), 3776. 10.3390/rs15153776

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Official URL: https://doi.org/10.3390/rs15153776

Abstract/Summary

Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to monitor a variety of processes including subsidence, landslides, and volcanic activity. However, interpreting large InSAR datasets can be difficult due to the volume of data generated, requiring sophisticated signal-processing techniques to extract meaningful information. We propose a novel framework for interpreting the large number of ground displacement measurements derived from InSAR time series techniques using a three-step process: (1) dimensionality reduction of the displacement time series from an InSAR data stack; (2) clustering of the reduced dataset; and (3) detecting and quantifying accelerations and decelerations of deforming areas using a change detection method. The displacement rates, spatial variation, and the spatio-temporal nature of displacement accelerations and decelerations are used to investigate the physical behaviour of the deforming ground by linking the timing and location of changes in displacement rates to potential causal and triggering factors. We tested the method over the Bandung Basin in Indonesia using Sentinel-1 data processed with the small baseline subset InSAR time series technique. The results showed widespread subsidence in the central basin with rates up to 18.7 cm/yr. We identified 12 main clusters of subsidence, of which three covering a total area of 22 km2 show accelerating subsidence, four clusters over 52 km2 show a linear trend, and five show decelerating subsidence over an area of 22 km2. This approach provides an objective way to monitor and interpret ground movements, and is a valuable tool for understanding the physical behaviour of large deforming areas.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.3390/rs15153776
ISSN:	2072-4292
Additional Keywords:	IGRD
Date made live:	03 Aug 2023 08:34 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/535521

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.3390/rs15153776

ISSN:

2072-4292

Additional Keywords:

IGRD

Date made live:

03 Aug 2023 08:34 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/535521