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Surface deformations from moderate-sized earthquakes in Mongolia observed by InSAR
© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2012
Received: 11 August 2009
Accepted: 27 December 2012
Published: 23 August 2013
We investigate surface deformations associated with two moderate-sized shallow earthquakes that occurred in the southeastern and northwestern stable regions of Mongolia using an analysis of ENVISAT/ASAR and ALOS/PALSAR data, respectively. Differential interferograms generated by a standard two-pass interferometric analysing technique depicted an uplift of up to ~1 cm for the MW 5.2 Hatanbulag composite earthquake (20 July, 2005, moderate-size foreshock in three hours) and a subsidence of up to ~10 cm for the MW 5.1 Büsiin Gol earthquake (19 January, 2008) in the radar line-of-sight directions, respectively. We inverted the observed deformations for the source parameters of the two earthquakes using elastic dislocation modeling. Our preferred model has geodetic moments of ~3.83 × 1017 (Mw 5.6) and 5.56×1016 N m (Mw 5.1) for the Hatanbulag and Büsiin Gol earthquakes, respectively.
During the past two decades, Interferometric Synthetic Aperture Radar (InSAR) has been shown to be a valuable tool for measuring surface deformations induced by earthquakes with an unprecedented spatial resolution at many different places on Earth. It has been successfully applied to observations of co-seismic (e.g., Zebker et al., 1994), post-seismic (e.g., Peltzer et al., 1998), and inter-seismic strain (e.g., Wright et al., 2001) associated with a number of large earthquakes. Moreover, its sensitivity to subtle displacements associated with moderate- to small-magnitude shallow earthquakes has been demonstrated; for example, at the M 5.4 (depth 2.6 km) 1992 Landers aftershock (Feigl et al., 1995), the M 4.7 (depth 0.7 km), M 5.0 (depth 3.5 km), M 5.3 (depth 3.2 km) and M 5.4 (depth 5.2 km) earthquakes in the Zagros Mountains (Lohman and Simons, 2005), using C-band SAR data (wavelength = 5.6 cm) and two shallow (~ 1 km) M 4.7 and M 4.4 earthquakes in Western Australia using L-band (wavelength = 23.6 cm) and C-band SAR data, respectively (Dawson et al., 2008).
Here, we apply the InSAR technique to two shallow, moderate-sized earthquakes, that occurred in remote areas of Mongolia, to verify the InSAR detection capabilities in this kind of seismotectonic environment. Although Mongolia is considered to be a tectonically active region located in the transition zone between a N-S convergence to the south in the Tien Shan and a NW-SE extension to the north in the Baikal rift (Baljinnyam et al., 1993), it still remains the least-studied and a poorly-understood region in northeast Asia because of the lack of seismic and geodetic observations. Since InSAR allows surface deformation measurements over vast areas without requiring any ground instrument deployment, it is a most suitable choice for employment in the current socio-economic conditions of Mongolia. From the ESA and JAXA datapool, we selected and processed interferometric pairs captured either by ENVISAT, Advanced Synthetic Aperture Radar (ASAR) or ALOS, Phased Array type L-type Synthetic Aperture Radar (PALSAR) over six small to moderate (3.9 ≤ M ≤ 5.6) earthquakes that occurred in the territory of Mongolia. Of these, we failed to detect one due to the complete decorrelation of ASAR scenes in the densely-vegetated mountainous area (Büsiin Gol, Mw 5.4, 27 April 2005), and three were not detected, probably due to the deep depth, lack of data availability or location uncertainties in the seismic catalog, as we enconntered in the case of the Hatanbulag event, where the NSDC (National Seismological Data Center of Mongolia) cataloged location occurred outside the InSAR frame.
2. Tectonic Background
2.1 South East Gobi
Hatanbulag is located in the southeastern Gobi region of Mongolia, that has long been considered as being historically aseismic and tectonically quiescent. This region and the most part of eastern Mongolia are covered by non-marine basins formed during the late Mesozoic extension. The Mesozoic family of basins extend up to 1.5 million km2 from North China to the south and to the Amurian plain to the northeast. The northeast-trending East Gobi Basin (EGB) is one of these basins and together with the Züünbayan faults of the same trend represent the only two prominent geomorphological features of southeastern Gobi (Fig. 1). Various broad discussions characterize the EGB as an extensional and adjacent area which experienced contraction and extension in the late Mesozoic time (Zorin, 1999). Basement rocks of the EGB are generally upper Paleozoic flysch and volcanic arc sequences formed in a remnant ocean basin. The region is well known for abundant mineral resources (Oyu Tolgoi Cu-Au-Mo deposit, Dornogovi Ur deposit, Tavan Tolgoi coking coal deposit, oil fields in Tsagaan els and Zuünbayan, etc.); however, tectonic models are still controversial. Rocks in southeastern Mongolia are considered to be a part of the Central Asian Orogenic Belt, or Altaids, and record history of the amalgamation of Asia via collision and accretion (Sengör et al., 1993). Therefore, data from this region are considered to have important implications for understanding the complex history of intracontinental deformation in Asia (Graham et al., 2001; Webb and Johnson, 2006). The Züünbayan and North Züünbayan faults, which are collectively referred to in some literature as the Züünbayan Fault Zone (ZBFZ) (Lamb et al., 1999), or the East Mongolian Fault Zone (EMFZ) (Yue and Liou, 1999), or the East Gobi Fault Zone (EGZF) (Webb and Johnson, 2006), follows the southern edge of the Altaid complex (Sengör et al., 1993) running along the EGB, and defines a structural corridor in this region. Yue and Liou (1999) and Lamb et al. (1999) proposed a kinematic linkage between the EGFZ and the Altyn Tagh fault through the Alxa fault, just south of the Mongolia-China border. Both define the EGFZ as a left-lateral strike-slip fault, but differ in the offset and the timing: ~400 km offset in Cenozoic and ~200 km offset mainly in Mesozoic, respectively. Evidence for middle-Cretaceous movement on faults within the EGFZ was identified using seismic reflection data by Johnson (2004). Outcrop data evidenced a sinistral strike-slip motion in the Cenozoic time (Webb and Johnson, 2006).
2.2 Hövsgöl-Büsiin Gol graben
In contrast to the eastern part, the western and central parts of Mongolia are characterised by high seismic activities and have the main morphotectonic structures of the country. The Hövsgöl-Büsiin Gol Rift (HBR) system is the northernmost seismic zone of the country (Fig. 1) comprising three, almost parallel, NS-trending, small grabens (120–130 km long and 20–30 km wide): Büsiin Gol, Darkhad, and Hövsgöl, from right to left. These grabens are divided by strongly-faulted horst-type mountains and together with the eastern Sayan and EW-trending Tunka graben forms the southwestern flank of the Baikal rift system (Zonenshain and Savostin, 1981; Baljinnyam et al., 1993). The HBR is truncated in the south by the EW-trending Bulnay fault that was ruptured in the sequence of the MS 8.2–8.3 left-lateral strike-slip events of 1905. The Bulnay fault, together with parallel structures in the Sayan range to the north of the HBR, is considered to have caused the eastward motion of central Mongolia (Zonenshain and Savostin, 1981).
The HBR area is considered to lie at a junction where the compressional tectonics of western and central Mongolia meet the extensional deformation of the Baikal rift (Delouis et al., 2002; Logachev, 2003; Klyuchevskii et al., 2004). Locating the boundary between these two contrasting regimes has been the objective of the investigations of many authors. Obtaining an accurate estimate of the focal mechanism and slip model of the earthquakes is important for understanding the stress regime of the area, as well as for assessing the local seismic hazard.
Among the three grabens, the asymmetrical Büsiin Gol (BG) is distinguished by a deep, narrow structure and high seismicity. It is about 70 km long and 10–12 km wide. The floor of the graben lies at 1200 m and is occupied by the wide valley of the Büsiin Gol river and glacial deposits, covered by an impassable taiga, while the mountains of its eastern edge rise up to 3200 m and have inaccessible alp-like peaks (Uflyand et al., 1969). The edges of both sides of the graben are contoured by normal faults, which are considered to have been formed in the Devonian and Cambrian ages (Uflyand et al., 1969).
About 7000 small and moderate events have been recorded there since 1964 (NSDC). The major events were Mw 5.5 (1 April 1976), Mw 6.5 (27 December 1991) and Mw 5.4 (27 April 2005). The focal mechanism solution of earthquakes in the BG area is a mixture of strike-slip and normal faulting with predominant strike-slip focal mechanism solution (Delouis et al., 2002; Fig.2). The 19 January, 2008, Büsiin Gol (BG) earthquake, discussed in this paper, occurred at the sharp eastern edge of the BG graben.
3. InSAR Observations and Results
3.1 Data and analysis
The co-seismic deformation field of the Hatanbulag earthquake was observed using ASAR C-band data acquired from the descending tracks. From total twelve scenes observed from 13 January 2004 to 02 January 2007 indifferent seasons seven are at pre-event and five at post-event times.
The investigation of the Büsiin Gol event was undertaken using eight PALSAR L-band data acquired from ascending tracks between 04 January, 2007, and 08 April, 2008. The PALSAR data set comprises both Fine Beam Single (FBS) and Fine Beam Dual (FBD) mode data mostly of the winter season. Two from the total of eight scenes are at a post-event time. Scene coverage for each radar is shown in the location maps of Fig. 1 and Fig. 2. The scenes from the ASAR and PALSAR data cover 100 × 100 km and 70 × 70 km areas, respectively. Each of the datasets are well suited for applying to the landscapes of the corresponding study sites: the C-band data to the dry, sparsely-vegetated Hatanbulag area with a gently undulated terrain, and the longer wavelength L-band data to the densely-vegetated and highly rugged terrain of the Büsiin Gol area. Except for the deeper penetration capability to the dense vegetated area, the L-band data has a longer critical baseline of 13.1 km in the Fine Beam Single (FBS) mode and 6.5 km in the Fine Beam Dual (FBD) mode compared with the 1.1 km of the C-band ASAR data. The major disadvantage of L-band data is that the ionospheric effects are expected to be more than twenty times stronger than in the C-band. Also, due to the long wavelength, the sensitivity of the PALSAR to small deformations is limited, and the interpretation of single interferograms is complicated by the presence of atmospheric and topographic noise. In contrast to the ionosphere, the highly-variable lower atmosphere has a similar effect on both frequencies and this remains a major limiting factor for any InSAR observations. Since both ASAR and PALSAR data sets have small off-nadir angles (23 and 38.7 degrees at the center of the scenes, respectively) they are mostly sensitive to vertical displacements.
We processed the data from raw format following the standard procedures of a two-pass approach (Massonet and Feigl, 1998) using the GAMMA software (Wegmüller and Werner, 1997). All images were aligned to one selected reference image, which allows the construction of any interferometric combination. The coregistration of images was performed with sub-pixel accuracy. To enhance the signal-to-noise ratio (SNR), the ASAR interferograms were down-sampled by a factor of ten and two in the azimuth and range directions, respectively, resulting in a 40 m × 40 m ground pixel. The PALSAR interferograms were down-sampled by a factor of nine in the azimuth and three in the range directions, resulting in a 28 m × 28 m ground pixel. In addition, we applied an adaptive power spectrum filter (Goldstein and Werner, 1998) to suppress the spatial noise in the interferograms. The removal of the topographic phase and the transformation from radar to geographic coordinates were carried out using a 3 arcsec digital elevation model (DEM) produced by the NASA Shuttle Radar Topography Mission (SRTM) (Farr et al., 2007). The ENVISAT satellite position was modelled using the precise orbit data (Scharroo and Visser, 1998) provided by the DEOS (Delft Institute for Earth-Oriented Space Research) while the ALOS satellite position was modelled with the precise orbit data supplied with the PALSAR metadata. Any residual orbital errors were further minimized through the removal of the planar trend surface from each interferogram. The baseline refinement was performed using the unwrapped phase and the same DEM. The phase unwrapping was undertaken using the Minimum Cost Flow (MCF) algorithm, where low-quality pixels are masked out, and the remaining data are triangulated and residues are identified. PALSAR data processing includes an additional step of oversampling of FBD data by a factor of two in the range direction before coregistration in order to transform them to the same pixel spacing as the FBS data.
3.2 InSAR results
3.2.1 Hatanbulag earthquake
In general, the correlation of ASAR radar images was exceptionally good. Even our longest time-spanning interferogram (about 3 years between 2004 and 2007) shows a relatively high coherence except for small decorrelations in the NE-SW trending Harmagtain Gobi valley to the south of the scene and in the valley to the north of the scene (see Fig. 3). The scenes cover an almost flat terrain (100 m height differences) of dry bare ground with sparse vegetation and scattered small lakes and ponds, specific for desert basins. However, some of our scenes were obviously affected by atmospheric conditions such as precipitation, severe wind, or sand and dust storms that usually occur between February and May in this region. This is represented in some pre-seismic interferograms by the appearance of concentric fringes at the Halzan Dovny lake, the western margin of the deformation field (Fig. 3), and in the dried marshes and lakes of the Harmagtain Gobi valley, and by the significant contamination of the most promising co-seismic pairs in terms of temporal coverage. Our assumption has been confirmed by weather report data, provided by the Meteorology, Hydrology and Environment Monitoring Center (MHEMC) of Dornogovi province (N. Enkhmaa, Director of MHEMC, personal communication, 2011). In between, and at the date of, SAR image acquisitions in the period of February 2004 to September 2006, there were many days with emergency records of severe dust and snow, and rain storms with a speed of 14–20 m/s. It is not clear when the lakes and marshes became dry, but by the first visit to the earthquake area in the late August of 2011, we found only mud at the location of the Halzan Dovny lake, which probably is wetted from time to time only by precipitation. The concentric fringes in the pre-seismic interferograms can either be due to a thin layer of snow accumulation or soil swell at those locations, if the lakes were already dry at that time.
ASAR and PALSAR Interferogram characteristics.
h a , (m)
ASAR (20 July, 2005, Hatanbulag)
PALSAR (19 January, 2008, Büsiin Gol)
About 2.6 km to the east of this uplifted pattern, all co-seismic interferograms also reveal a small area of displacements away from the radar, stretching 3 km in the NE-SW direction. Although the affected area here is small, the amplitude of the deformation signal is almost the same as for the uplifted area, reaching up to —8 mm. This deformation is observed with almost the same magnitude in three independent interferograms but is not visible in any pre-seismic interferograms. In order to reduce atmospheric noise, residual orbit error and, in addition, to ensure that the derived signal is actually related to surface deformation, we performed a stack of interferograms. The stacking of independent interferograms improves the ratio of the displacement signal to the atmospheric phase error by a factor of √N, where N is the number of interferograms (Strozzi et al., 2000). We stacked the co-seismic and pre-seismic interferograms separately, having excluded those scenes which have obvious atmospheric effects. The stacking produced cleaner interferograms with reduced noise levels, but preserved the NE-SW trending small negative signal. The stack of the pre-seismic interferograms did not display any distinct features at the event location, but, as previously noted, it revealed very clear concentric fringes at the small lake Halzan Dovny and the Jirem well, and in the marshes and lakes of the Harmagtain Gobi valley.
The negative NE-SW trending signal appears at the same location with the same shape after implementing three-pass differential interferometry using the “internal” DEM derived from the radar scenes. The shortest time-spanning pair 2005/02/01–2005/03/08 with a perpendicular baseline, B⊥ = 344 m, was used as a topographic reference assuming there was no deformation during this period and the 2005/02/01–2006/02/21 pair (hinf6) was used as the pair containing the deformation signal. The results of the above test procedures leads to associate this questionable pattern with surface displacement, but not with atmospheric or topographic effects. The height of ambiguities of our interferograms are between 92 m and 152 m, therefore the error in the SRTM DEM might lead to a phase error of up to or about 0.1 cycle. For ASAR acquisitions, this corresponds to ~2.8 mm.
3.2.2 Büsiin Gol earthquake
Despite the rugged terrain with differences in elevation of more than 1000 m, and the dense larch forest cover, the L-band interferograms showed a high coherence (see Fig. 6(a)), enabling successful phase unwrapping for the entire scene, in contrast to the interferograms produced from the C-Band ASAR data in our attempt on the Mw 5.4 earthquake (27 April, 2005) about 30 km south of the currently studied event (blue beachball in Fig. 2), as noted in the Introduction section of this paper. To compare with the Hatanbulag earthquake, for the 19 January, 2008, Büsiin Gol earthquake we had a limited number of acquisitions, among which there are only two post-seismic data. In addition, most of our interferograms were contaminated by heterogeneous atmospheric propagation, snow cover or layover, and foreshortening effects. We were able to construct four co-seismic interferograms using three FBS and one FBD PALSAR images acquired between October 2007 and April 2008. Two interferograms binf2 and binf4 have the highest percentage of coherent area (100 to 95%) while binf1 and binf3 were coherent partly due to the temporal decorrelation. The binf2 pair has the shortest time span of 46 days and a somewhat small perpendicular baseline of B⊥ = 877 m, though the interferogram contains an anomalous effect, which is seen in a broad area extending latitudinally across the scene, to the south of the epicentral location, in spite of the planar trend surface removal (Fig. 5). This broad signal might be attributed to an orbital error, or tropospheric and ionospheric variations; however, it did not appear in any other interferograms that share either images that form binf2 (2008/01/07 and 2008/02/22).
Nevertheless, all of the above-discussed interferograms revealed an elliptical deformation pattern with similar dimensions and orientation near the epicenter of the 19 January, 2008, earthquake (Fig. 6). The deformation pattern elongates in the NE-SW direction and corresponds to ~90 mm negative displacement (ground subsidence) in the LOS direction. The cleanest deformation signal was observed on two interferograms generated from the pairs 2008/01/07–2008/02/22 (binf2) and 2008/01/07–2008/04/08 (binf4, Fig. 6). On these two interferograms, the major and minor axes of the deformation field reach 6 and 4 km, respectively, and the amplitude of the displacements in the LOS direction were 80 and 110 mm, respectively. However, we have to consider also the topographic errors which are potentially important for this region of high elevation and rugged topography coupled with the relatively long perpendicular baseline of ALOS. If we assume that the SRTM DEM accuracy does not exceed the given theoretical value then the topographic contribution to the measured LOS displacement is about 1/4 cycle or 30 mm, calculated from the highest h a value of the binf2, or almost 38% of the observed average LOS displacement of 80 mm.
4. Modeling Results
Based on the obtained best fit fault parameters, we calculated the seismic moment M0 = μLWU (Aki, 1972) and the moment magnitude Mw = (log10M0 − 9.11)/1.5 (Hanks and Kanamori, 1979) from the fault length L, width W, the displacement U, and by assuming a rock rigidity μ = 30 GPa.
4.1 Hatanbulag earthquake
The deformation for the Hatanbulag earthquake was found to cover a large area of about 8 × 12 km2 but with a peak-to-peak magnitude of only 8–10 mm. This small displacement was revealed despite the likely presence of water bodies (or snow wreath in some lake and marshes after the snow/dust storm) and sand dune drift in the small depression, where the epicenter is located. We obtained solutions for two cases with, and without, the questionable subsiding pattern to the east. The model that includes the eastern subsidence revealed a strike-slip mechanism with a fault plane size of 1.8 × 1.3 km2 at a depth of 6.3 km and 1.3 m of slip. However, the modeled pattern did not match well the observed displacement, and the type of faulting is not consistent with the focal mechanism estimated previously from seismograms.
Source parameters of the Hatanbulag earthquake from seismology.
mainshock at 21:54 UTC
M0 (N m)
7.36 × 1016
9.1 × 1016
foreshock at 18:06 UTC
M0 (N m)
4.53 × 1016
Earthquake source parameters of the Hatanbulag earthquake from InSAR estimates. aThe location and depth refer to the bottom left of the fault rectangle, following the convention of Okada (1985).
Moment (N m)
3.83 × 1017
4.2 Büsiin Gol earthquake
Earthquake source parameters for the Büsiin Gol earthquake from seismology.
M0 (N m)
4.91 × 1016
Earthquake source parameters for the Büsiin Gol earthquake from InSAR. aThe location and depth refer to the bottom left of the fault rectangle, following the convention of Okada (1985).
Moment (N m)
5.56 × 1016
We compared our InSAR estimates with three seismological solutions (CMT, NEIC and NSDC), although there are some inconsistencies between these catalogs.
Hatanbulag. For this composite event the seismic catalogs show a significant discrepancy. The InSAR-derived moment M0 = 3.83 × 1017 N m (Mw 5.65) is five and four times greater than the seismic moments of the CMT (M0 = 7.36 × 1016 N m) and NEIC (M0 = 9.1 × 1016 N m) estimates, respectively, but the moment magnitude agrees well with the NSDC. The strike and dip agree well with the CMT estimate, while the rake and depth agree with the NEIC estimate. In general, the discrepancy in moments between InSAR and seismology may be caused by a number of factors, including contributions from pre- and post-seismic deformations, or assumptions about the elastic moduli used in the moment estimate. For our study, the HB co-seismic interferograms used for modeling incorporate the moderate magnitude Mw 5.0 foreshock according to the CMT (4.53 × 1016) and NEIC (moment is not reported) and also include the post-seismic deformation since they cover several months and years after the earthquake. However, the contribution of the foreshock may be small, because all three seismological catalogs locate the foreshock below 12 km depth, and the NEIC and NSDC locate the foreshock further away from the mainshock (NEIC in ~20 km southeast, NSDC in ~27 km northeast, Table 2). In addition, as inferred from the InSAR analysis, the NSDC catalog has a location uncertainty for the mainshock of about 30 km that its location occurred outside the InSAR frame, while the CMT and NEIC estimation agree well within about 4 and 6 km, respectively. Adding the CMT reported moments for the fore- and mainshock yields a total seismic moment of 1.19 × 1017 N m. This is still three times lower than the InSAR estimated value.
Similar discrepancies were found for the Zagros earthquakes studied by Lohman and Simons (2005) and Nissen et al. (2010). To adequately constrain these events, it will be necessary to perform more sophisticated modeling that includes both the seismic and InSAR data. This event is an example which demonstrates the limitation of InSAR in distinguishing multiple earthquakes which have occurred in the same place, or a nearby location, which adds uncertainties in the estimation of both the moment and the focal mechanism.
Büsiin Gol. The InSAR estimate for this event agrees relatively well with three seismological estimates for all parameters with small uncertainties. The radar estimate of the epicentral location is closest to the NEIC estimated value within 4.4 km, while the CMT catalog has an uncertainty of about 11 km. The InSAR determined depth of 2.4 km agrees well with the NSDC estimated depth, while both CMT and NEIC place it deeper at 12 and 13 km, respectively, which is not common for the Büsiin Gol area and may be less reliable for detection with InSAR. For this event, the difference between the InSAR-derived moment of 5.56 × 1016 N m and the seismological estimate of 4.91 × 1016 N m is relatively small.
We analysed the co-seismic deformation of two moderate-sized earthquakes which occurred in the stable southeastern and northwestern regions of Mongolia using ASAR descending and PALSAR ascending data, respectively. Both datasets were well suited for mapping displacements in the landscapes of the corresponding study sites. The ASAR data applied for the sparsely-vegetated desert region of the South East Gobi, confirmed its sensitivity to small-scale displacements, and revealed millimeter-scale deformations even over a period of three years. The complication here is that two moderate-sized earthquakes occurred at the same place within a few hours which cannot be distinguished by the InSAR. The capability of ALOS PALSAR interferometry to produce successful results for densely-vegetated areas that have been previously reported by many other authors (e.g., Aoki et al., 2008) was demonstrated in the Büsiin Gol area. The main limitation of the present study was the availability of SAR data acquired from one direction only. Therefore, in this study the InSAR data are sensitive to the location and depth but not very sensitive to the fault orientation. The two earthquakes both occurred in the upper few kilometers of the crust. The HB earthquake had a blind thrust mechanism with a small left-lateral component with a geodetic moment estimated to be 3.83 × 1017 (Mw 5.65). The BG earthquake had a normal motion with a geodetic moment of 5.56 × 1016 (Mw 5.1). Our InSAR study of the HB earthquake reveals a minimum fault plane area of ~30 km2 which could generate a Mw > 5.6 earthquake. This confirms the suggestion of Khilko et al. (1985) that this small area in the Hutag Uul craton belongs to a zone of potential seismicity of 4.5 < M < 7.0. The revealed geometry of the fault indicates the SW-NE compressional tectonic regime of the area, which is consistent with the World Stress Map (Heidbach et al., 2008) and tectonic stresses reported by Barth and Wenzel (2010), and Xu (2001) in the adjacent region of NE China. The normal fault mechanism of the Mw 5.1 BG earthquake confirms the determination of Radziminovitch et al. (2007) that, along with strike-slip faulting, normal faults are also common in this junction zone. The InSAR derived depth supports the suggestion that earthquakes in the HBG often occur in a shallow crust.
In general, this InSAR study of earthquakes in Mongolia has demonstrated that provided a sufficient amount of suitable interferometric data is available, the InSAR technique can complement the sparse seismic observations of the region and may complement future seismic event relocation efforts.
This work was supported by the Japan Society for the Promotion of Science. We are grateful to Kurt Feigl, Manabu Hashimoto and Takeshi Sagiya for their valuable comments to improve the paper.
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