National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment

  title={National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment},
  author={Ivana Zinno and Manuela Bonano and Sabatino Buonanno and Francesco Casu and Claudio De Luca and Michele Manunta and Mariarosaria Manzo and Riccardo Lanari},
  journal={IEEE Transactions on Big Data},
We present an automatic pipeline implemented within the Amazon Web Services (AWS) Cloud Computing platform for the interferometric processing of large Sentinel-1 (S1) multi-temporal SAR datasets, aimed at analyzing Earth surface deformation phenomena at wide spatial scale. The developed processing chain is based on the advanced DInSAR approach referred to as Small BAseline Subset (SBAS) technique, which allows producing, with centimeter to millimeter accuracy, surface deformation time series… 

Figures and Tables from this paper

Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment

The achieved results demonstrate the capability of the proposed solution to successfully retrieve the DInSAR time series relevant to such a huge area, opening new scenarios for the analysis and interpretation of these ground deformation measurements.

A Fully Automatic and Cloud-Based P-SBAS DINSAR Pipeline for Sentinel-1 Processing

  • C. D. LucaM. Bonano R. Lanari
  • Environmental Science
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
  • 2019
A cloud-computing based strategy for generating surface displacement time series and mean deformation velocity maps of very large areas by exploiting Sentinel-1 (S1) data and has been migrated to the Amazon Web Service (AWS) environment.

The Parallel SBAS Approach for Sentinel-1 Interferometric Wide Swath Deformation Time-Series Generation: Algorithm Description and Products Quality Assessment

The presented results demonstrate the capability of the implemented P-SBAS approach to efficiently and effectively process large S-1 IW data sets relevant to extended portions of the earth surface, paving the way to the systematic generation of advanced DInSAR products to monitor ground displacements at a very wide spatial scale.

Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy

The Parallel Small BAseline Subset (P-SBAS) advanced InSAR processing chain running on the Geohazards Exploitation Platform (GEP) is trialed to process two unprecedentedly big stacks of Copernicus Sentinel-1 C-band SAR images acquired in 2014–2020 over a coastal study area in southern Italy.

Ground Deformation Analysis of the Italian Peninsula Through the Sentinel-1 P-SBAS Processing Chain

  • R. LanariZ. Ali I. Zinno
  • Mathematics
    IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
  • 2020
The achieved results demonstrate the capability of the P-SBAS processing chain to efficiently process large S-1 datasets to investigate ground deformation dynamics of large portions of the Earth surface.

Automatic generation of Sentinel-1 DInSAR co-seismic maps at global scale

We built a global archive of DInSAR co-seismic displacement maps based on Sentinel-1 (S1) data. The DInSAR measurements are generated through a tool that considers the main significant (Mw > 5.5)

Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-Scale Surface Deformation Mapping

This work presents a novel parallel computing-based coherent scatterer InSAR (P-CSInSAR) method for automatic and efficient generation of deformation results from Sentinel-1 raw data, and evaluates the efficiency and accuracy of the proposed method.

Parallel CS-InSAR for Mapping Nationwide Deformation in China

  • Yixian TangChao Wang Longkai Dong
  • Environmental Science, Computer Science
    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
  • 2021
By developing the parallelized CS-InSAR algorithm on the Big Earth Data Platform, 11922 satellite SAR data from September 2018 to December 2019 over China were processed, and the preliminary national InSAR-based surface deformation mapping for 2018–2019 was produced, with the deformation accuracy better than 0.6 cm in urban area.

A Procedure for the Quantitative Comparison of Rainfall and DInSAR-Based Surface Displacement Time Series in Slow-Moving Landslides: A Case Study in Southern Italy

Earth observation data are useful to analyze the impact of climate-related variables on geomorphological processes. This work aims at evaluating the impact of rainfall on slow-moving landslides, by

OSARIS, the “Open Source SAR Investigation System” for Automatized Parallel InSAR Processing of Sentinel-1 Time Series Data With Special Emphasis on Cryosphere Applications

OSARIS provides a series of modules to detect and mask unwrapping errors, correct for atmospheric disturbances, and remove large-scale trends in S1-based region-wide investigations of surface movement events over multiple years.



Cloud Computing for Earth Surface Deformation Analysis via Spaceborne Radar Imaging: A Case Study

A case study on the migration to a Cloud Computing environment of the advanced differential synthetic aperture radar interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS), which allows the production of mean deformation velocity maps and the corresponding displacement time-series from a temporal sequence of radar images by exploiting distributed computing architectures.

An On-Demand Web Tool for the Unsupervised Retrieval of Earth's Surface Deformation from SAR Data: The P-SBAS Service within the ESA G-POD Environment

On-demand web tool that permits to set up an efficient on-line P-SBAS processing service to produce surface deformation mean velocity maps and time series in an unsupervised manner may contribute to drastically expand the user community exploiting the DInSAR products and methodologies.

A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data

Two‐scale surface deformation analysis using the SBAS‐DInSAR technique: a case study of the city of Rome, Italy

We have exploited the capability of the differential synthetic aperture radar (SAR) interferometry (DInSAR) technique, referred to as Small BAseline Subset (SBAS) approach, to analyse surface

SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation

  • F. CasuS. Elefante R. Lanari
  • Computer Science
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2014
The proposed parallel solution (P-SBAS) is based on a dual-level parallelization approach and encompasses combined parallelization strategies, which are fully discussed in this paper and confirm the effectiveness of the proposed parallel computing solution.

On the generation of ERS/ENVISAT DInSAR time-series via the SBAS technique

The small baseline subset (SBAS) algorithm is exploited for generating deformation time-series from SAR data acquired by sensors with different characteristics but with the same illumination geometry to investigate large-scale displacements with a relatively low spatial resolution.

Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d'Aosta Case Study, Northern Italy

The results demonstrate how the DInSAR application can obtain reliable information of ground displacement over time in these regions, and may represent a suitable instrument for natural hazards assessment.

Combined Use of C- and X-Band SAR Data for Subsidence Monitoring in an Urban Area

In this study, we present the detection and characterization of ground displacements in the urban area of Pisa (Central Italy) using Interferometric Synthetic Aperture Radar (InSAR) products. Thirty

Long-term ERS/ENVISAT deformation time-series generation at full spatial resolution via the extended SBAS technique

We extend the small baseline subset (SBAS) differential synthetic aperture radar (SAR) interferometry (DInSAR) approach to allow the generation of deformation time-series by processing, at the full