GPU accelerated interferometric SAR processing for Sentinel-1 TOPS data

Yu, Yanghai; Balz, Timo; Luo, Heng; Liao, Mingsheng; Zhang, Lu

doi:10.1016/j.cageo.2019.04.010

Cited by 28 publications

(23 citation statements)

References 18 publications

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“…Each satellite has a 12-day revisit frequency, double star cooperation, and the revisit frequency can be shortened to 6 days [22,32]. Sentinel-1 guarantees reduced spatial baselines and short temporal baselines (down to 12 days) and additionally has an orbital tube diameter of about 200 m [22,33], which makes it appropriate for the monitoring of slow deformation. Combined with other satellite data, Sentinel-1 data are widely used in land, ocean, atmospheric, and environmental monitoring, as well as in disaster response and the monitoring of changes to the earth's surface.…”

Section: Datamentioning

confidence: 99%

“…Data from satellite missions such as Envisat, Radarsat, Advanced Land Observing Satellite (ALOS), Shuttle Radar Topographic Mission (SRTM), TerraSAR, and Sentinel have been effectively used for global land surface terrain monitoring [21]. As an all-weather and high-precision information extraction technology, InSAR has been widely used for the monitoring of changes in glacier velocity and morphology [15,22]. However, if the image pairs used to produce InSAR images have a longer time interval, the decorrelation would cause that it is therefore difficult to obtain deformation time series.…”

Section: Introductionmentioning

confidence: 99%

“…In order to overcome this problem, several approaches aimed at conducting time series analysis and improving the accuracy of InSAR-based deformation time series have been presented [23][24][25][26]. One of these methods is SBAS InSAR [25,27], which is an advanced InSAR approach that allows the generation of mean deformation velocity maps and deformation time series from a dataset of SAR (Synthetic Aperture Radar) images with a spatial resolution of centimeters to millimeters [22,25]. Compared with conventional SAR monitoring, SBAS InSAR technology reduces the errors caused by the spatial and temporal decorrelation on interference fringes using the multi-temporal technique [27].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method

et al. 2020

IJERPH

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Glacier melting is one of the important causes of glacier morphology change and can provide basic parameters for calculating glacier volume change and glacier mass balance, which, in turn, is important for evaluating water resources. However, it is difficult to obtain large-scale time series of glacier changes due to the cloudy and foggy conditions which are typical of mountain areas. Gravity-measuring satellites and laser altimetry satellites can monitor changes in glacier volume over a wide area, while synthetic-aperture radar satellites can monitoring glacier morphology with a high spatial and temporal resolution. In this article, an interferometric method using a short temporal baseline and a short spatial baseline, called the Small Baseline Subsets (SBAS) Interferometric Synthetic-Aperture Radar (InSAR) method, was used to study the average rate of glacier deformation on Karlik Mountain, in the Eastern Tienshan Mountains, China, by using 19 Sentinel-1A images from November 2017 to December 2018. Thus, a time series analysis of glacier deformation was conducted. It was found that the average glacier deformation in the study region was −11.77 ± 9.73 mm/year, with the observation sites generally moving away from the satellite along the Line of Sight (LOS). Taking the ridge line as the dividing line, it was found that the melting rate of southern slopes was higher than that of northern slopes. According to the perpendicular of the mountain direction, the mountain was divided into an area in the northwest with large glaciers (Area I) and an area in the southeast with small glaciers (Area II). It was found that the melting rate in the southeast area was larger than that in the northwest area. Additionally, through the analysis of temperature and precipitation data, it was found that precipitation played a leading role in glacier deformation in the study region. Through the statistical analysis of the deformation, it was concluded that the absolute value of deformation is large at elevations below 4200 m while the absolute value of the deformation is very small at elevations above 4500 m; the direction of deformation is always away from the satellite along the LOS and the absolute value of glacier deformation decreases with increasing elevation.

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method

et al. 2020

IJERPH

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“…In our study, the image obtained on 26 November 2017 was selected as the primary image. A graphics processing unit (GPU)-accelerated interferometric SAR processor (Yu et al, 2019) was used to process the Sentinel-1 data set. An AW3D30 DSM and Sentinels' Precise Orbit Determination (POD) service were first used for geometric co-registration between consecutive bursts.…”

Section: Interferometric Processingmentioning

confidence: 99%

Spatial and temporal subsidence characteristics in Wuhan (China), during 2015–2019, inferred from Sentinel-1 synthetic aperture radar (SAR) interferometry

Shi

Zhang

Jiang

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. Ground subsidence is regarded as one of the most common geohazards, accompanied with the rapid urban expansion in recent years. In the last 2 decades, Wuhan, located in the alluvial Jianghan Plain, has experienced great urban expansion with increased subsidence issues, i.e., soft foundation subsidence and karst collapse. Here we investigated subsidence rates in Wuhan with 2015–2019 Sentinel-1 synthetic aperture radar (SAR) images. We found that the overall subsidence over the Wuhan region is significantly correlated with the distribution of engineering geological subregions (EGSs). We further validated the interferometric SAR (InSAR) measurements with better than 5 mm accuracy by comparing with leveling measurements. Subsidence centers in Qingling–Jiangdi, Houhu, Qingshan, and Dongxihu were identified with displacement rates of approximately 30 mm/yr. Our results demonstrated that the dominant driving factor is ongoing construction, and the fact that the subsidence centers shifted with construction intensities. The Qingling–Jiangdi area in our study is a well-known site of karst collapse. We find that the nonlinear subsidence of this area is correlated with the seasonal rainfall.

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“…Due to the nonstationarity of the squint angle during acquisition, there is a linear variation of the doppler centroid frequency in the SAR data. Thus, high level co-registration accuracy is required for Sentinel-1 InSAR analysis [33,34]. In our study, precise orbit data and external DEM are combined for geometric co-registration with respect to the master image.…”

Section: Time Series Sentinel-1 Insar Analysismentioning

confidence: 99%

Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China

et al. 2020

Self Cite

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A catastrophic landslide happened on 15 March 2019 in Xiangning County of Shanxi Province, causing 20 fatalities. Such an event makes us realize the significance of loess slope instability detection. Therefore, it is essential to identify the potential active landslides, monitor their displacements, and sort out dominant controlling factors. Synthetic Aperture Radar (SAR) Interferometry (InSAR) has been recognized as an effective tool for geological hazard mapping with wide coverage and high precision. In this study, the time series InSAR analysis method was applied to map the unstable areas in Xiangning County, as well as surrounding areas from C-band Sentinel-1 datasets acquired from March 2017 to 2019. A total number of 597 unstable sites covering 41.7 km2 were identified, among which approximately 70% are located in the mountainous areas which are prone to landslides. In particular, the freezing and thawing cycles might be the primary triggering factor for the failure of the Xiangning landslide. Furthermore, the nonlinear displacements of the active loess slopes within this region were found to be correlated significantly with precipitation. Therefore, a climate-driven displacement model was employed to explore the quantitative relationship between rainfall and nonlinear displacements.

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GPU accelerated interferometric SAR processing for Sentinel-1 TOPS data

Cited by 28 publications

References 18 publications

Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method

Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method

Spatial and temporal subsidence characteristics in Wuhan (China), during 2015–2019, inferred from Sentinel-1 synthetic aperture radar (SAR) interferometry

Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China

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