ALOS-2 polarimetric SAR observation of Hokkaido-Iburi-Tobu earthquake 2018

Yamaguchi, Yoshio; Umemura, Maito; Kanai, Daichi; Kosuke, Miyazaki; Yamada, Hiroyoshi

doi:10.1587/comex.2018xbl0131

Cited by 4 publications

(6 citation statements)

References 4 publications

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“…The polarimetric target decompositions is a modern and robust technique for extraction more details of physical characterizes ground objects based on scattering mechanism. There are many decomposition methods that this research used the most common decomposition method (Dabboor et al, 2019;Nielsen et al, 2019b;Yamaguchi et al, 2019). These methods include Cloude, Freeman, Touzi, Yamaguchi four-component, and H/A/α decompositions.…”

Section: Polarimetric Decompositionmentioning

confidence: 99%

“…Among the type of RS Sensors the SAR sensors, due to operating independently of weather and daylight play role in RS analysis and widely used in many applications such as CD (Marinelli et al, 2017). Recently, with increasing available to polarimetric synthetic aperture radar (PolSAR) data using them convert to hot topic among researchers in many application such as: classification, CD, and target detection (Dabboor et al, 2019;Nielsen et al, 2019a;Sabry and Ainsworth, 2019;Silva et al, 2019;Yamaguchi et al, 2019). This data could be obtained in four different channel as VV (Vertical transmit and Vertical receive), HH (Horizontal transmit and Horizontal receive), VHVertical transmit and Horizontal receive), and HV (Horizontal transmit and Vertical receive) (Najafi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, many methods have been developed for PolSAR data. However, these methods have been applied as successfully on PolSAR data and provide acceptable results but those methods are more complex for implantation (Yamaguchi et al, 2019). On the other hand, the PolSAR data due to existence high speckle noise need to a special technique for extraction change information.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Transformation Based Algorithms for Change Detection in Full Polarimetric Remote Sensing Images

Seydi

Shahhoseini

2019

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

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Abstract. Thanks to the recent advances in the development of polarimetric synthetic aperture radar (SAR) sensors, this remote sensing field attracts many applications. Among the different applications of these data, change detection is one of the most important applications. PolSAR images, due to interactions between electromagnetic waves and the target, could be used to study changes in the Earth's surface. This paper is a type of transformation-based method for polarimetric change detection (CD) purpose. For this purpose, we use full polarimetry imaging radar and extracted 138 features based on decomposition. The CD methods are the principal component analysis (PCA), the Multivariate Alteration Detection (MAD), the Iteratively Reweighted Multivariate Alteration Detection (IR-MAD), the Covariance Equalization (CE), and the Cross-Covariance (CRC). Assessment of the incorporated methods performed using most common criteria as quantity and quality assessment, such as overall accuracy (OA), kappa coefficient, and as visual analysis. The results of the experiments show that CC has better performance compared with other algorithms.

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Section: Polarimetric Decompositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transformation Based Algorithms for Change Detection in Full Polarimetric Remote Sensing Images

Seydi

Shahhoseini

2019

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

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“…Recently, there have been several attempts to develop similar SAR-based change detection methods for rapid landslide mapping based on SAR amplitude Suga, 2018, 2019;Mondini et al, 2019), coherence Olen and Bookhagen, 2018;Yun et al, 2015) or some combination of these (Aimaiti et al, 2019;Jung and Yun, 2019) or based on polarimetric SAR methods (e.g. Yamaguchi et al, 2019). However, with the exception of Mondini et al (2019), who used a global selection of landslides, these studies are generally tested on a single landslide event and use a single radar sensor.…”

Section: Introductionmentioning

confidence: 99%

A systematic exploration of satellite radar coherence methods for rapid landslide detection

Burrows

Walters

Milledge

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Emergency responders require information on the distribution of triggered landslides within 2 weeks of an earthquake or storm. Useable satellite radar imagery is acquired within days of any such event worldwide. Recently, several landslide detection methods that use these data have been developed, but testing of these methods has been limited in each case to a single event and satellite sensor. Here we systematically test five methods using ALOS-2 and Sentinel-1 data across four triggering earthquakes. The best-performing method was dependent on the satellite sensor. For three of our four case study events, an initial ALOS-2 image was acquired within 2 weeks, and with these data, co-event coherence loss (CECL) is the best-performing method. Using a single post-event Sentinel-1 image, the best-performing method was the boxcar–sibling (Bx–S) method. We also present three new methods which incorporate a second post-event image. While the waiting time for this second post-event image is disadvantageous for emergency response, these methods perform more consistently and on average 10 % better across event and sensor type than the boxcar–sibling and CECL methods. Thus, our results demonstrate that useful landslide density information can be generated on the timescale of emergency response and allow us to make recommendations on the best method based on the availability and latency of post-event radar data.

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“…1). This earthquake drew significant attentions to a number of landslides in the epicentral region (Yamagishi and Yamazaki 2018;Yamaguchi et al 2019), liquefaction in residential areas in Sapporo and other cities (Hirose et al 2018;Karimzadeh and Matsuoka 2018;Kuwahara et al 2018), and blackout in the whole Hokkaido Island (Ozaki et al 2019). An overview of casualties, damages and government responses was reported by Takahashi and Kimura (2019).…”

Section: Introductionmentioning

confidence: 99%

Source rupture process of the 2018 Hokkaido Eastern Iburi earthquake deduced from strong-motion data considering seismic wave propagation in three-dimensional velocity structure

Asano

Iwata

2019

Earth Planets Space

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The source rupture process of the 2018 Hokkaido Eastern Iburi earthquake (M JMA 6.7) was analyzed by a kinematic waveform inversion method using strong-motion data in 0.04-0.5 Hz. This earthquake occurred close to the Hidaka Collision Zone and the Ishikari depression, where the crustal structure is rather complex. Thus, we used a three-dimensional velocity structure model to compute the theoretical Green's functions by the finite difference method. A source fault model with strike-angle variation was set based on the spatial distribution of the early aftershocks. The strongmotion stations used for the source inversion were selected based on the result of forward ground motion simulation of a moderate aftershock. The slip in the first 5 s was relatively small, but an area of significant slip with peak slip of 1.7 m was found in the depth range from 22 to 32 km. The rupture propagated upward mainly in the southwest direction. Based on the regional crustal structure and the configuration of the Moho discontinuity, the large-slip area was thought to be located in the lower crust, and its rupture did not reach the upper part of the continental crust. Most of the early aftershocks occurred around the large-slip area. The later aftershocks at the depth shallower than 20 km occurred outside the causative source fault of the mainshock. Three-dimensional ground motion simulation demonstrated that the heterogeneous source process and the three-dimensional basin and crustal velocity structure brought a large velocity pulse to an area to the southwest of the source fault, where the largest PGV was observed during the mainshock. The spatial distribution of the simulated PGV resembled the observed PGV distribution except some sites located inside the Ishikari depression where thick Quaternary soft low-velocity sediments exist at the top of the basin.

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ALOS-2 polarimetric SAR observation of Hokkaido-Iburi-Tobu earthquake 2018

Cited by 4 publications

References 4 publications

Transformation Based Algorithms for Change Detection in Full Polarimetric Remote Sensing Images

Transformation Based Algorithms for Change Detection in Full Polarimetric Remote Sensing Images

A systematic exploration of satellite radar coherence methods for rapid landslide detection

Source rupture process of the 2018 Hokkaido Eastern Iburi earthquake deduced from strong-motion data considering seismic wave propagation in three-dimensional velocity structure

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