Esa Snap - Stamps Integrated Processing for Sentinel-1 Persistent Scatterer Interferometry

Foumelis, Michael; Blasco, José Manuel Delgado; Desnos, Yves-Louis; Engdahl, Marcus; Fernández, Diego; Veci, Luis; Lu, Jun; Wong, Cecilia

doi:10.1109/igarss.2018.8519545

Cited by 86 publications

(57 citation statements)

References 7 publications

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“…The relief deformation analysis by the Sentinel Application Platform (SNAP) [11] followed the workflow indicated in Figure 4 from the Sentinel 1B images taken on May 21 and June 14, 2018.…”

Section: Methodsmentioning

confidence: 99%

Determination of Primary and Secondary Lahar Flow Paths of the Fuego Volcano (Guatemala) Using Morphometric Parameters

Cando-Jácome

Martínez-Graña

2019

Remote Sensing

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On 3 June 2018, a strong eruption of the Fuego volcano in Guatemala produced a dense cloud of 10-km-high volcanic ash and destructive pyroclastic flows that caused nearly 200 deaths and huge economic losses in the region. Subsequently, due to heavy rains, destructive secondary lahars were produced, which were not plotted on the hazard maps using the LAHAR Z software. In this work we propose to complement the mapping of this type of lahars using remote-sensing (Differential Interferometry, DINSAR) in Sentinel images 1A and 2A, to locate areas of deformation of the relief on the flanks of the volcano, areas that are possibly origin of these lahars. To determine the trajectory of the lahars, parameters and morphological indices were analyzed with the software System for Automated Geoscientific Analysis (SAGA). The parameters and morphological indices used were the accumulation of flow (FCC), the topographic wetness index (TWI), the length-magnitude factor of the slope (LS). Finally, a slope stability analysis was performed using the Shallow Landslide Susceptibility software (SHALSTAB) based on the Mohr–Coulomb theory and its parameters: internal soil saturation degree and effective precipitation, parameters required to destabilize a hillside. In this case, the application of this complementary methodology provided a more accurate response of the areas destroyed by primary and secondary lahars in the vicinity of the volcano.

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“…The relief deformation analysis by the Sentinel Application Platform (SNAP) [11] followed the workflow indicated in Figure 4 from the Sentinel 1B images taken on May 21 and June 14, 2018.…”

Section: Methodsmentioning

confidence: 99%

Determination of Primary and Secondary Lahar Flow Paths of the Fuego Volcano (Guatemala) Using Morphometric Parameters

Cando-Jácome

Martínez-Graña

2019

Remote Sensing

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“…SNAP software (Sentinel Application Platform) [22] was used for the processing of Sentinel-1 imagery. Specifically, the formation and stacking of Sentinel-1 interferograms, was performed using the open-source package for SNAP-StaMPS integrated processing [23,24].…”

Section: Data-sets and Processing Strategymentioning

confidence: 99%

Multi-Temporal InSAR Analysis for Monitoring Ground Deformation in Amorgos Island, Greece

Alatza

Papoutsis

Paradissis

et al. 2020

Sensors

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Radar Interferometry is a widely used method for estimating ground deformation, as it provides precision to a few millimeters to centimeters, and at the same time, a wide spatial coverage of the study area. On 9 July 1956, one of the strongest earthquakes of the 20th century in the area of the South Aegean, occurred in Amorgos, with a magnitude of Mw = 7.7. The objective of this research is to map ground deformation in Amorgos island, using InSAR techniques. We conducted a multi-temporal analysis of all available data from 2003 to 2019 by exploiting historical ENVISAT SAR imagery, as well as the dense archive of Sentinel-1 SLC imagery. Persistent Scatterer Interferometry (PS) and Small Baseline Subset (SBAS) methods were implemented. Results of both data-sets indicate a small-scale deformation on the island. A multi-track analysis was implemented on Sentinel-1 data to decompose the line of sight velocities to vertical and horizontal. The central south coast is experiencing horizontal movement, while uplift of a maximum value of 5 mm/y is observed in the southeastern coast. The combination of the good spatial coverage achievable via InSAR, with GPS measurements, is suggested an important tool for the seamless monitoring of Amorgos island towards tectonic hazard estimation.

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“…Latest versions of the scripts (not verified by the developing team) can also be found on the GitHub repository (https://github.com/mdelgadoblasco/ snap2stamps). The authors had released a first version of the snap2stamps package in July 2018, which automates the TOPSAR single master Differential InSAR (DInSAR) processing, fully compatible with StaMPS PSI [9], allowing the creation of stacks of single master interferograms in batch mode, just by defining some simple settings such as project folder, subswath to process and defining the bounding box coordinates of the area of interest.…”

Section: Open Source Toolboxesmentioning

confidence: 99%

“…The idea was for the open source InSAR processor to be used together with StaMPS PSI, boosting the utilization of the Copernicus Sentinel-1 data for geohazard-related applications. The potential of SNAP-StaMPS integration has been already demonstrated at [9], for which the authors had also published a set of scripts to support utilization by the scientific community [10].…”

Section: Introductionmentioning

confidence: 99%

“…Schematic diagram presenting the different chains of the SentiNel Application Platform (SNAP) workflow to prepare the interferometric inputs for Stanford Method for Persistent Scatterers (StaMPS) Persistent Scatterer Interferometry (PSI) processing[9]. Part A, B and C illustrate the workflow employed for slave splitting, coregistration, interferometric computation and StaMPS export, respectively.…”

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confidence: 99%

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Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry

et al. 2019

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Land subsidence in urban environments is an increasingly prominent aspect in the monitoring and maintenance of urban infrastructures. In this study we update the subsidence information over Rome and its surroundings (already the subject of past research with other sensors) for the first time using Copernicus Sentinel-1 data and open source tools. With this aim, we have developed a fully automatic processing chain for land deformation monitoring using the European Space Agency (ESA) SentiNel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS). We have applied this automatic processing chain to more than 160 Sentinel-1A images over ascending and descending orbits to depict primarily the Line-Of-Sight ground deformation rates. Results of both geometries were then combined to compute the actual vertical motion component, which resulted in more than 2 million point targets, over their common area. Deformation measurements are in agreement with past studies over the city of Rome, identifying main subsidence areas in: (i) Fiumicino; (ii) along the Tiber River; (iii) Ostia and coastal area; (iv) Ostiense quarter; and (v) Tivoli area. Finally, post-processing of Persistent Scatterer Inteferometry (PSI) results, in a Geographical Information System (GIS) environment, for the extraction of ground displacements on urban infrastructures (including road networks, buildings and bridges) is considered.

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Esa Snap - Stamps Integrated Processing for Sentinel-1 Persistent Scatterer Interferometry

Cited by 86 publications

References 7 publications

Determination of Primary and Secondary Lahar Flow Paths of the Fuego Volcano (Guatemala) Using Morphometric Parameters

Determination of Primary and Secondary Lahar Flow Paths of the Fuego Volcano (Guatemala) Using Morphometric Parameters

Multi-Temporal InSAR Analysis for Monitoring Ground Deformation in Amorgos Island, Greece

Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry

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