First insights on the potential of Sentinel-1 for landslides detection

Commission VII, WG VII/2 KEY WORDS: Radar, SAR, Interferometry, C-band, Deformation, Monitoring. ABSTRACT:This paper is focused on deformation monitoring using a Persistent Scatterer Interferometry technique and the interferometric SAR data acquired by the Sentinel-1 satellite of the European Space Agency. The first part of the paper describes the procedure used to process and analyze Sentinel-1 interferometric SAR data. Two main approaches are described. The first one is a simplified Persistent Scatterer Interferometry approach that exploits two key properties of the Sentinel-1 data: the high coherence of the 12-day interferograms and the reduced orbital tube. The second approach is a full Persistent Scatterer Interferometry approach, where a more sophisticate data treatment is employed. The second part of the paper illustrates the results obtained with the two processing approaches. Two case studies are described. The first one concerns landslide detection and monitoring. In this case, the simplified Persistent Scatterer Interferometry approach was used. The second one regards the deformation monitoring of an urban area. In this case, a full Persistent Scatterer Interferometry approach was used.

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“…The maximum (average) deformation is approximately 70 mm. Details of this analysis are provided in Barra et al (2016).…”

Section: Resultsmentioning

confidence: 99%

Persistent Scatterer Interferometry Using Sentinel-1 Data

Crosetto¹,

Monserrat²,

Devanthéry³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The study area is affected by a great number of landslide phenomena, see for details Barra et al (2016). The analysis was based on 14 ascending images acquired in the period from October 2014 to April 2015.…”

Section: Examples Of Resultsmentioning

confidence: 99%

“…Starting from the unwrapped interferograms, we derive the phase temporal series in correspondence of the image acquisition dates. This is obtained by directly integrating the unwrapped phases (Barra et al, 2016). The above time series are then analysed to identify new spatial phase patterns characterized by slow deformation rates.…”

Section: Data Processing and Analysismentioning

confidence: 99%

Sentinel-1 Data Analysis for Landslide Detection and Mapping: First Experiences in Italy and Spain

Barra

Monserrat

Crosetto

et al. 2017

Advancing Culture of Living With Landslides

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Abstract:One of the key inputs to landslide susceptibility and hazard analyses is provided by a precise inventory map, including the information of landslide activity. In the last decade the satellite SAR Interferometry has been demonstrated to be a powerful tool for landslide mapping and monitoring. However, until now, the systematic use of the technique has been strongly limited by different aspects like the image availability, the revisit time and the loss of coherence. In this context, the Sentinel-1 constellation provides interesting characteristics for landslide mapping and monitoring: the wavelength (55.5 mm) and the short temporal baseline (6 days when Sentiel-1B data will be available). The latter one is expected to be a key feature for increasing coherence and for defining monitoring and updating plans. However, the exploitation of these high coherent data for landslide purposes is not straightforward and demands of new tools and methods to properly discriminate the real displacements. The aim of this work is to show which are, according to the authors experience, the main pros and cons of landslides mapping and monitoring with Sentinel-1 data. These conclusions are based on the analysis over three different test sites with different characteristics from the SAR view point: the Canarias Islands (Spain), the Molise region (Italy) and the Toscana region (Italy). The Canarias Islands test site shows a good example of how Sentinel-1 can systematically provide deformation maps over wide areas and with a very high sampling density. The Molise region application shows how the short temporal revisit time of Sentinel-1 allows the detection and monitoring of landslides also over agricultural areas. In particular, for this test site, are shown some examples of detection and update of active landslide phenomena. Finally, in the third example, the Toscana area, we show another example of difficult scenario, where the high temporal sampling has allowed the detection of some landslide phenomena. However, this test site is also a good example to show one of the main problems to be solved when applying short temporal baseline interferometry in rural environments: false deformation trends related to soil changes. AbstractThe differential interferometric SAR (DInSAR) technique is a powerful tool to detect and monitor ground deformation. In this paper we address an important DInSAR application, which is the detection and mapping of landslides. The potential of DInSAR to detect and monitor landslides has been extensively documented in the literature, mainly using the Cband data from the European Remote Sensing (ERS-1 and -2), Envisat and Radarsat missions. A significant improvement in landslide monitoring is expected by the SAR data of the two satellites Sentinel-1A and -1B of the European Space Agency. This paper describes the authors' first experience using Sentinel-1 for landslide monitoring. The paper describes the data processing and analysis strategy, and then illustrates some deformation measurement results obtaine...

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“…The potential of Sentinel-1-based PSI has been documented in the literature. Barra et al (2016) and Barra et al (2017) use Sentinel-1 data for landslide detection and mapping. A case study related to a mega-landslide is described in Dai et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Deformation Measurement Using Sentinel-1a/B Imagery

Crosetto

Monserrat

Devanthéry

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Land deformation monitoring based on C-band Synthetic Aperture Radar Sentinel-1A/B imagery is the main focus of this paper. This type of data is exploited using a Persistent Scatterer Interferometry technique. The paper describes a deformation monitoring strategy, which is related to a specific monitoring scenario: a relatively small deformation area of interest surrounded by a stable area. In the case study considered in this work, the scenario corresponds to an area of potential subsidence induced by underground water pumping. In this specific case, the deformation area of interest has a radius of approximately 1 km. The proposed monitoring strategy takes advantage of the specific scenario at hand, and, in particular, of the availability of stable areas close to the area that potentially is affected by deformation. In this paper we briefly describe the proposed data analysis strategy. The key component of the strategy, i.e. the estimation of the atmospheric component, is illustrated in detail. Some examples of the two main products of the procedure, i.e. the deformation velocity map and the deformation time series, are discussed.

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First insights on the potential of Sentinel-1 for landslides detection

Cited by 99 publications

References 13 publications

Persistent Scatterer Interferometry Using Sentinel-1 Data

Persistent Scatterer Interferometry Using Sentinel-1 Data

Sentinel-1 Data Analysis for Landslide Detection and Mapping: First Experiences in Italy and Spain

Deformation Measurement Using Sentinel-1a/B Imagery

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