Preliminary ASTER and INSAR imagery combination for mud volcano dynamics, Azerbaijan

Hommels, A.; Schölte, K.; Muñoz-Sabater, Joaquín; Hanssen, Ramon; Meer, F.D. van der; Kroonenberg, S.B.; Aliyeva, E.; Huseynov, D.; Guliev, I. S.

doi:10.1109/igarss.2003.1294179

Cited by 5 publications

(3 citation statements)

References 10 publications

(18 reference statements)

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“…Mud volcanoes in Azerbaijan are mostly located along the anticlinal structures found throughout the country (e.g., Bonini, 2012). While there have been a couple of pioneering studies that applied InSAR technique to detect the displacements due to mud volcanoes in Azerbaijan in the early 2000s (Hommels et al, 2003;Mellors et al, 2005), Antonielli et al (2014) was the first to unequivocally reveal the surface displacements at four mud volcanoes in Azerbaijan with the uses of C-band Envisat/ASAR images gathered from 2003 to 2005. In particular, the study of the Ayaz-Akhtarma mud volcano ( Fig.…”

Section: Introductionmentioning

confidence: 99%

Surface deformation and source modeling of Ayaz-Akhtarma mud volcano, Azerbaijan, as detected by ALOS/ALOS-2 InSAR

Iio

Furuya

2018

Prog Earth Planet Sci

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Azerbaijan, located on the western edge of the Caspian Sea in Central Asia, has one of the highest populations of mud volcanoes in the world. We used satellite-based synthetic aperture radar (SAR) images derived from two L-band SAR satellites, ALOS/PALSAR along an ascending track from 2006 to 2011, and its successor ALOS-2/PALSAR-2 along both ascending and descending tracks from 2014 to 2017. First, we applied interferometric SAR (InSAR) technique to detect surface displacements at the Ayaz-Akhtarma mud volcano in Azerbaijan. The 35 derived interferograms indicate that the deformation of the mud volcano is largely characterized by horizontal displacement. Besides the InSAR technique, we also used multiple-aperture interferometry (MAI) to derive the surface displacements parallel to the satellite flight direction to complement the InSAR data. Using the InSAR and MAI data, we obtained 3D displacements, which indicate that the horizontal displacement is dominant relative to subsidence and possible uplift. To explain the displacements, we performed source modeling, based on the assumption of elastic dislocation theory in a half space. The derived model consists of a convex surface on which normal-fault-type slips are semi-radially distributed, causing the significant horizontal displacements with minor subsidence. The convex source surface suggests that a steady overpressure system would be maintained by constantly intruding mud and gas.

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Section: Introductionmentioning

confidence: 99%

Surface deformation and source modeling of Ayaz-Akhtarma mud volcano, Azerbaijan, as detected by ALOS/ALOS-2 InSAR

Iio

Furuya

2018

Prog Earth Planet Sci

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“…, 1977; Kruse, 1988; Crowley, 1993; Rowan & Mars, 2002). Although rock‐forming minerals important to this research do not display distinctive spectra in the VNIR bands, they do display fundamental molecular absorption spectra in the SWIR wavelengths, specifically, carbonates can be distinguished from siliciclastics because carbonates have significant absorptions from CO 3 ion internal vibrations in the 2·327 μm region (ASTER Band 8 – SWIR) (Hommels et al. , 2003) (Fig.…”

Section: Introduction and Geological Settingmentioning

confidence: 99%

Discrete lithofacies discrimination of Jurassic strata using Advanced Spaceborne Thermal Emission and Reflection Radiometer Data, Bighorn Basin, Wyoming, USA

2009

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An investigation of the carbonate sedimentology of the Middle Jurassic strata, Bighorn Basin, North‐central Wyoming, proved to be an ideal test of new spaceborne remote sensing platforms with high spatial and spectral resolution. To evaluate these new tools, it was necessary to: (i) map the occurrence of different lithofacies in at least a part of the area to establish ground truth; (ii) establish the reflectance characteristics of the different lithofacies using portable, on the ground, systems; (iii) produce maps based on spaceborne remote sensing data that discriminate between the lithological types found in the field; and, lastly, (iv) evaluate the discrimination by visiting previously unvisited areas in which these rock types are predicted to occur based upon their remote signatures. Field checking of previously unvisited outcrops demonstrated whether these remote sensing techniques allowed distinction of different lithological outcrops. This investigation determined that the new spaceborne tools could distinguish between outcrops of sparse silty oomicrites from sorted biosparites as small as 10 m by 10 m. In a study area as large as the Bighorn Basin, the ability to identify very small outcrops with a predicted lithology a priori proved to be a major advantage in maximizing field effort.

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“…Reference [5] focused on the analysis of the Absheron Peninsula and the Lokbatan mud volcano, but they did not observe any large-scale movement (>10 cm line-of-sight) during the analyzed period. Reference [6] found preliminary indications of deformation in the dataset analyzed. InSAR techniques have also been employed to explore the ground deformation associated with the LUSI mud volcano in Indonesia [7,8,9].…”

Section: Introductionmentioning

confidence: 99%

DInSAR analysis reveals bulging of Azerbaijan mud volcano edifices before an eruption

Antonielli¹,

Monserrat²,

Bonini³

et al. 2015

Proceedings of Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop

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Mud volcanism consists in the surface extrusion of gases, saline waters and mud breccias, which produce conical edifices of various sizes with morphology similar to that of magmatic volcanoes. In this work, DInSAR technique has been used to investigate the ground deformation related to the activity of Azerbaijan mud volcanoes during the period October 2003-November 2005. This work focuses on two important deformation events at the Ayaz-Akhtarma and Khara-Zira mud volcanoes. The ground deformations at mud volcanoes are generally originated by fluid pressure and volume variations in the reservoir. The observed deformation pattern is characterized by pre-eruptive inflation that reaches a cumulative value of up to 20 cm at Ayaz-Akhtarma in about two years. Similar pre-eruptive bulging has been observed at magmatic volcanoes, where uplift is typically associated with magma intrusion. We conclude that mud and magmatic volcanoes display some similarities in the behavior of ground deformation during pre-eruptive stages.

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Preliminary ASTER and INSAR imagery combination for mud volcano dynamics, Azerbaijan

Cited by 5 publications

References 10 publications

Surface deformation and source modeling of Ayaz-Akhtarma mud volcano, Azerbaijan, as detected by ALOS/ALOS-2 InSAR

Surface deformation and source modeling of Ayaz-Akhtarma mud volcano, Azerbaijan, as detected by ALOS/ALOS-2 InSAR

Discrete lithofacies discrimination of Jurassic strata using Advanced Spaceborne Thermal Emission and Reflection Radiometer Data, Bighorn Basin, Wyoming, USA

DInSAR analysis reveals bulging of Azerbaijan mud volcano edifices before an eruption

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