scholarly journals InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives

2018 ◽  
Vol 10 (9) ◽  
pp. 3152 ◽  
Author(s):  
Marco Polcari ◽  
Matteo Albano ◽  
Antonio Montuori ◽  
Christian Bignami ◽  
Cristiano Tolomei ◽  
...  
Keyword(s):  
Ground Deformation ◽  
Coastal Areas ◽  
Coastal Hazards ◽  
Synthetic Aperture ◽  
Campi Flegrei ◽  
Interferometric Synthetic Aperture Radar ◽  
Future Perspectives ◽  
Multi Temporal ◽  
Sar Data ◽  
Small Baseline

In this work, we use X and C-band SAR data provided by the COSMO-SkyMed and ENVISAT missions to detect and measure some ground deformation phenomena along six coastal areas of Italy. In particular, we exploit multi-temporal interferometric synthetic aperture radar (InSAR), i.e., small baseline subsets (SBAS) and interferometric point target analysis (IPTA) methods, to retrieve the deformation rate maps and time series for each investigated area. Multi-temporal InSAR analysis revealed local subsidence and uplifting effects in Ravenna Coastal Areas, Fiumicino, Campi Flegrei, Sibari Plain, Augusta Bay, and Taranto Gulf. Our work is meant as a demonstrator to show how InSAR-based analysis can provide a detailed understanding of the coastal hazards. Such analysis also opens up new monitoring scenarios such as the possibility of designing a near real-time surveillance service based on Sentinel-1 SAR data.

scholarly journals Multi-Temporal Small Baseline Interferometric SAR Algorithms: Error Budget and Theoretical Performance

2021 ◽  
Vol 13 (4) ◽  
pp. 557
Author(s):  
Antonio Pepe
Keyword(s):  
Synthetic Aperture Radar ◽  
Phase Unwrapping ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Error Budget ◽  
Multi Temporal ◽  
Small Baseline ◽  
Time Inconsistent ◽  
Interferometric Sar ◽  
Aperture Radar

Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques are well recognized as useful tools for detecting and monitoring Earth’s surface temporal changes. In this work, the fundamentals of error noise propagation and perturbation theories are applied to derive the ground displacement products’ theoretical error bounds of the small baseline (SB) differential interferometric synthetic aperture radar algorithms. A general formulation of the least-squares (LS) optimization problem, representing the SB methods implementation’s core, was adopted in this research study. A particular emphasis was placed on the effects of time-uncorrelated phase unwrapping mistakes and time-inconsistent phase disturbances in sets of SB interferograms, leading to artefacts in the attainable InSAR products. Moreover, this study created the theoretical basis for further developments aimed at quantifying the error budget of the time-uncorrelated phase unwrapping mistakes and studying time-inconsistent phase artefacts for the generation of InSAR data products. Some experiments, performed by considering a sequence of synthetic aperture radar (SAR) images collected by the ASAR sensor onboard the ENVISAT satellite, supported the developed theoretical framework.

scholarly journals Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Stephen Grebby ◽  
Andrew Sowter ◽  
Jon Gluyas ◽  
David Toll ◽  
David Gee ◽  
...  
Keyword(s):  
Iron Ore ◽  
Ground Deformation ◽  
Synthetic Aperture ◽  
Environmental Damage ◽  
Interferometric Synthetic Aperture Radar ◽  
Tailings Dam ◽  
Consolidation Settlement ◽  
Small Baseline Subset ◽  
Advanced Analysis ◽  
Small Baseline

AbstractCatastrophic failure of a tailings dam at an iron ore mine complex in Brumadinho, Brazil, on 25th January 2019 released 11.7 million m3 of tailings downstream. Although reportedly monitored using an array of geotechnical techniques, the collapse occurred without any apparent warning. It claimed more than 200 lives and caused considerable environmental damage. Here we present the Intermittent Small Baseline Subset (ISBAS) technique on satellite-based interferometric synthetic aperture radar (InSAR) data to assess the course of events. We find that parts of the dam wall and tailings were experiencing deformation not consistent with consolidation settlement preceding the collapse. Furthermore, we show that the timing of the dam collapse would have been foreseeable based on this observed precursory deformation. We conclude that satellite-based monitoring techniques may help mitigate similar catastrophes in the future.

scholarly journals Removal of systematic seasonal atmospheric signal from interferometric synthetic aperture radar ground deformation time series

2014 ◽  
Vol 41 (17) ◽  
pp. 6123-6130 ◽  
Author(s):  
Sergey V. Samsonov ◽  
Alexander P. Trishchenko ◽  
Kristy Tiampo ◽  
Pablo J. González ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Ground Deformation ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Aperture Radar

scholarly journals P-Band InSAR for Geohazard Detection over Forested Terrains: Preliminary Results

2021 ◽  
Vol 13 (22) ◽  
pp. 4575
Author(s):  
Yuankun Xu ◽  
Zhong Lu ◽  
Jin-Woo Kim
Keyword(s):  
Ground Deformation ◽  
Ground Surface ◽  
Radar System ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Forest Canopies ◽  
Jet Propulsion ◽  
Long Wavelength ◽  
Dense Forest ◽  
L Band

Decorrelation of X, C, and L-band InSAR (Interferometric Synthetic Aperture Radar) over densely vegetated regions is a common obstacle for detecting ground deformation beneath forest canopies. Using long-wavelength P-band SAR sensors (wavelength of 69.72 cm), which can penetrate through dense forests and collect relatively consistent signals from ground surface, is one potential solution. Here, we experimented using the NASA JPL (Jet Propulsion Laboratory)’s P-band AirMOSS (Airborne Microwave Observatory of Subcanopy and Subsurface) radar system to collect repeat-pass P-band SAR data over densely vegetated regions in Oregon and California (USA), and generated by far the first P-band InSAR results to test the capability of P-band InSAR for geohazard detection over forested terrains. Our results show that the AirMOSS P-band InSAR could retain coherence two times as high as the L-band satellite ALOS-2 (Advanced Land Observing Satellite-2) data, and was significantly more effective in discovering localized geohazards that were unseen by the ALOS-2 interferograms over densely vegetated areas. Our results suggest that the airborne P-band InSAR could be a revolutionary tool for studying geohazards under dense forest canopies.

scholarly journals Ground Deformation in The Ciloto Landslides Area Revealed by Multi-Temporal InSAR

Geosciences ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 156 ◽  
Author(s):  
Noorlaila Hayati ◽  
Wolfgang Niemeier ◽  
Vera Sadarviana
Keyword(s):  
Ground Deformation ◽  
Extended Period ◽  
Alos Palsar ◽  
Temporal Perspective ◽  
Prone Area ◽  
Multi Temporal ◽  
Single Compound ◽  
Torrential Rainfall ◽  
Precautionary Measures ◽  
Small Baseline

Landslides are one of the natural hazards that occur annually in Indonesia. A continuous geodetic observation in the landslide prone area is essential to support the precautionary measures. Because of its hilly topography, torrential rainfall and landslide history, the Ciloto district in Indonesia has been affected by ground deformation for an extended period of time. The purpose of our study is to detect significant movement and quantify the kinematics of its motion using the Interferometric synthetic aperture radar (InSAR) time series analysis and multi-band SAR images. We utilized the small baseline SDFP technique for processing multi-temporal SAR data, comprising ERS1/2 (1998–1999), ALOS PALSAR (2007–2009), and Sentinel-1 (2014–2018). Based on the detected deformation signal in the Ciloto area, the displacement rates are categorized as very slow movements. Two active main landslide zones; the Puncak Pass and the Puncak Highway area, which show the trend of slow movement progressively increasing or descreasing, were detected. The integration of the velocity rate between InSAR results and ground observations (e.g., terrestrial and GPS) was conducted at the Puncak Highway area from the temporal perspective. Using the polynomial model, we estimated that the area had cumulatively displaced up to −42 cm for 25 years and the type of movements varied from single compound to multiple rotational and compound.

scholarly journals Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes?

2020 ◽  
Vol 12 (9) ◽  
pp. 1511
Author(s):  
Yusuf Eshqi Molan ◽  
Zhong Lu
Keyword(s):  
Soil Moisture ◽  
Phase Changes ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Land Cover Type ◽  
Strongly Correlated ◽  
Sar Image ◽  
Sar Data ◽  
Zero Phase ◽  
Properties Of Soil

We studied the influence of the statistical properties of soil moisture changes on the Interferometric Synthetic Aperture Radar (InSAR) coherence and closure phase to determine whether the InSAR coherence and closure phase can be used to estimate soil moisture changes. We generated semi-synthetic multi-looked interferograms by pairing n real single-looked pixels of an observed SAR image with n synthetic single-looked pixels. The synthetic SAR data are generated from the real SAR data by applying soil moisture changes with a pre-defined mean and standard deviation of changes. Our results show that the diversity of soil moisture changes within the multi-look window gives rise to decorrelation, a multi-looked phase artifact, and a non-zero phase triplet. The decorrelation and closure phase increase by enlarging the diversity of soil moisture changes. We also showed that non-soil moisture changes can lead to larger decorrelations and closure phases. Furthermore, the diversity of phase changes, decorrelation, and closure phases are correlated with land cover type. We concluded that the closure phase and coherence are independent of the magnitude of soil moisture changes and are inappropriate tools to estimate soil moisture changes. Coherence, however, can be used as a proxy for soil moisture changes if the diversity and magnitude of soil moisture changes within a multi-looked pixel are strongly correlated.

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