Assessment of ground surface displacement in Taihape landslide, New Zealand, with C- and X-band SAR interferometry

This work presents an overview of the multiple aperture synthetic aperture radar interferometric (MAI) technique, which is primarily used to measure the along-track components of the Earth’s surface deformation, by investigating its capabilities and potential applications. Such a method is widely used to monitor the time evolution of ground surface changes in areas with large deformations (e.g., due to glaciers movements or seismic episodes), permitting one to discriminate the three-dimensional (up–down, east–west, north–south) components of the Earth’s surface displacements. The MAI technique relies on the spectral diversity (SD) method, which consists of splitting the azimuth (range) Synthetic Aperture RADAR (SAR) signal spectrum into separate sub-bands to get an estimate of the surface displacement along the azimuth (sensor line-of-sight (LOS)) direction. Moreover, the SD techniques are also used to correct the atmospheric phase screen (APS) artefacts (e.g., the ionospheric and water vapor phase distortion effects) that corrupt surface displacement time-series obtained by currently available multi-temporal InSAR (MT-InSAR) tools. More recently, the SD methods have also been exploited for the fine co-registration of SAR data acquired with the Terrain Observation with Progressive Scans (TOPS) mode. This work is primarily devoted to illustrating the underlying rationale and effectiveness of the MAI and SD techniques as well as their applications. In addition, we present an innovative method to combine complementary information of the ground deformation collected from multi-orbit/multi-track satellite observations. In particular, the presented technique complements the recently developed Minimum Acceleration combination (MinA) method with MAI-driven azimuthal ground deformation measurements to obtain the time-series of the 3-D components of the deformation in areas affected by large deformation episodes. Experimental results encompass several case studies. The validity and relevance of the presented approaches are clearly demonstrated in the context of geospatial analyses.

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Strike-slip ground-surface rupture (Greendale Fault) associated with the 4 September 2010 Darfield earthquake, Canterbury, New Zealand

Quarterly Journal of Engineering Geology and Hydrogeology ◽

10.1144/1470-9236/11-034 ◽

2011 ◽

Vol 44 (3) ◽

pp. 283-291 ◽

Cited By ~ 15

Author(s):

D.J.A. Barrell ◽

N.J. Litchfield ◽

D.B. Townsend ◽

M. Quigley ◽

R.J. Van Dissen ◽

...

Keyword(s):

New Zealand ◽

Ground Surface ◽

Strike Slip ◽

Surface Rupture

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Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas

Remote Sensing ◽

10.3390/rs10091360 ◽

2018 ◽

Vol 10 (9) ◽

pp. 1360 ◽

Cited By ~ 22

Author(s):

Tazio Strozzi ◽

Sofia Antonova ◽

Frank Günther ◽

Eva Mätzler ◽

Gonçalo Vieira ◽

...

Keyword(s):

Time Series ◽

Surface Displacement ◽

Deformation Monitoring ◽

In Situ Measurements ◽

River Delta ◽

Sar Interferometry ◽

The Arctic ◽

Lena River ◽

Lena River Delta

Low-land permafrost areas are subject to intense freeze-thaw cycles and characterized by remarkable surface displacement. We used Sentinel-1 SAR interferometry (InSAR) in order to analyse the summer surface displacement over four spots in the Arctic and Antarctica since 2015. Choosing floodplain or outcrop areas as the reference for the InSAR relative deformation measurements, we found maximum subsidence of about 3 to 10 cm during the thawing season with generally high spatial variability. Sentinel-1 time-series of interferograms with 6–12 day time intervals highlight that subsidence is often occurring rather quickly within roughly one month in early summer. Intercomparison of summer subsidence from Sentinel-1 in 2017 with TerraSAR-X in 2013 over part of the Lena River Delta (Russia) shows a high spatial agreement between both SAR systems. A comparison with in-situ measurements for the summer of 2014 over the Lena River Delta indicates a pronounced downward movement of several centimetres in both cases but does not reveal a spatial correspondence between InSAR and local in-situ measurements. For the reconstruction of longer time-series of deformation, yearly Sentinel-1 interferograms from the end of the summer were considered. However, in order to infer an effective subsidence of the surface through melting of excess ice layers over multi-annual scales with Sentinel-1, a longer observation time period is necessary.

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Study of ground surface displacement estimation using ALOS/PALSAR D-InSAR interferometry

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4423122 ◽

2007 ◽

Author(s):

Atsushi Iwashita ◽

Marina Kudo ◽

Hisatoshi Baba ◽

Toshikazu Morohoshi ◽

Masanao Hara ◽

...

Keyword(s):

Ground Surface ◽

Surface Displacement ◽

Alos Palsar ◽

Displacement Estimation

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Coseismic displacements of the 14 November 2016 Mw7.8 Kaikoura, New Zealand, earthquake using an optical cubesat constellation

10.5194/nhess-2017-30 ◽

2017 ◽

Cited By ~ 2

Author(s):

Andreas Kääb ◽

Bas Altena ◽

Joseph Mascaro

Keyword(s):

New Zealand ◽

Land Surface ◽

Near Infrared ◽

Sar Interferometry ◽

Optical Methods ◽

Optical Data ◽

Surface Displacements ◽

Before And After ◽

Optical Satellite Images ◽

Sentinel 2

Abstract. Satellite measurements of coseismic displacements are typically based on Synthetic Aperture Radar (SAR) interferometry or amplitude tracking, or based on optical data such as from Landsat, Sentinel-2, SPOT, ASTER, very-high resolution satellites, or airphotos. Here, we evaluate a new class of optical satellite images for this purpose – data from cubesats. More specific, we investigate the PlanetScope cubesat constellation for horizontal surface displacements by the 14 November 2016 Mw7.8 Kaikoura, New Zealand, earthquake. Single PlanetScope scenes are 2–4 m resolution visible and near-infrared frame images of approximately 20–30 km × 9–15 km in size, acquired in continuous sequence along an orbit of approximately 375–475 km height. From single scenes or mosaics from before and after the earthquake we observe surface displacements of up to almost 10 m and estimate a matching accuracy from PlanetScope data of up to ±0.2 pixels (~ ±0.6 m). This accuracy, the daily revisit anticipated for the PlanetScope constellation for the entire land surface of Earth, and a number of other features, together offer new possibilities for investigating coseismic and other Earth surface displacements and managing related hazards and disasters, and complement existing SAR and optical methods. For comparison and for a better regional overview we also match the coseismic displacements by the 2016 Kaikoura earthquake using Landsat8 and Sentinel-2 data.

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Vegetated Target Decorrelation in SAR and Interferometry: Models, Simulation, and Performance Evaluation

Remote Sensing ◽

10.3390/rs12162545 ◽

2020 ◽

Vol 12 (16) ◽

pp. 2545 ◽

Cited By ~ 3

Author(s):

Andrea Monti-Guarnieri ◽

Marco Manzoni ◽

Davide Giudici ◽

Andrea Recchia ◽

Stefano Tebaldini

Keyword(s):

Formal Method ◽

Temporal Stability ◽

Sar Interferometry ◽

Synthetic Aperture ◽

Short Term ◽

Realistic Case ◽

X Band ◽

Temporal Decorrelation ◽

And Performance

The paper addresses the temporal stability of distributed targets, particularly referring to vegetation, to evaluate the degradation affecting synthetic aperture radar (SAR) imaging and repeat-pass interferometry, and provide efficient SAR simulation schemes for generating big dataset from wide areas. The models that are mostly adopted in literature are critically reviewed, and aim to study decorrelation in a range of time (from hours to days), of interest for long-term SAR, such as ground-based or geosynchronous, or repeat-pass SAR interferometry. It is shown that none of them explicitly account for a decorrelation occurring in the short-term. An explanation is provided, and a novel temporal decorrelation model is proposed to account for that fast decorrelation. A formal method is developed to evaluate the performance of SAR focusing, and interferometry on a homogenous, stationary scene, in terms of Signal-to-Clutter Ratio (SCR), and interferometric coherence. Finally, an efficient implementation of an SAR simulator capable of handling the realistic case of heterogeneous decorrelation over a wide area is discussed. Examples are given by assuming two geostationary SAR missions in C and X band.

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Interferometric SAR Phase Denoising Using Proximity-Based K-SVD Technique

Sensors ◽

10.3390/s19122684 ◽

2019 ◽

Vol 19 (12) ◽

pp. 2684

Author(s):

Chandrakanta Ojha ◽

Adele Fusco ◽

Innocenzo M. Pinto

Keyword(s):

Noise Reduction ◽

Synthetic Data ◽

Sar Interferometry ◽

Phase Image ◽

Redundant Representations ◽

X Band ◽

Interferometric Phase ◽

Phase Images ◽

Mt Etna ◽

Interferometric Sar

This paper addresses the problem of interferometric noise reduction in Synthetic Aperture Radar (SAR) interferometry based on sparse and redundant representations over a trained dictionary. The idea is to use a Proximity-based K-SVD (ProK-SVD) algorithm on interferometric data for obtaining a suitable dictionary, in order to extract the phase image content effectively. We implemented this strategy on both simulated as well as real interferometric data for the validation of our approach. For synthetic data, three different training dictionaries have been compared, namely, a dictionary extracted from the data, a dictionary obtained by a uniform random distribution in [ − π , π ] , and a dictionary built from discrete cosine transform. Further, a similar strategy plan has been applied to real interferograms. We used interferometric data of various SAR sensors, including low resolution C-band ERS/ENVISAT, medium L-band ALOS, and high resolution X-band COSMO-SkyMed, all over an area of Mt. Etna, Italy. Both on simulated and real interferometric phase images, the proposed approach shows significant noise reduction within the fringe pattern, without any considerable loss of useful information.

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