Development of Portable SAR for Detection of Volcano Deformation: Application of SAR Interferometry to the Repeated Observation Data
-
Published:2022-08-01
Issue:5
Volume:17
Page:609-619
-
ISSN:1883-8030
-
Container-title:Journal of Disaster Research
-
language:en
-
Short-container-title:J. Disaster Res.
Author:
Ozawa Taku,Himematsu Yuji,Nohmi Akira,Miyawaki Masanori, ,
Abstract
Synthetic aperture radar (SAR), which transmits radar waves from the ground, can detect crustal deformation with high spatial and temporal resolution. To obtain crustal deformation data useful for evaluating volcanic activity, we are developing a portable SAR that can conduct repeated observations without being fixed to the site under Project B of the Integrated Program for Next Generation Volcano Research and Human Resource Development. We named this SAR sensor: SAR for crustal deformation with portable equipment (SCOPE). SCOPE detects crustal deformation over a wide area by repeating observations at several points, which differs from the general ground-based SAR (GB-SAR). SCOPE has four observation types: GB-SAR, car-borne SAR, cart-borne SAR, and man-borne SAR, which are used to conduct such mobile observations efficiently. This study performed repeated observations with a 1-day interval using GB-SAR and car-borne SAR and obtained high coherence and reasonable phase distribution. When using the man-borne SAR type, moderate coherence was obtained. However, focusing on the SAR image was insufficient, and an inappropriate phase slope appeared in the interferogram, suggesting that improvements in the observation and analysis methods remained. We also investigated the temporal persistence of coherence when applying SAR interferometry to the SCOPE data. Sufficient coherence was obtained to detect crustal deformation in sparsely vegetated areas for a data pair at a 1-year interval. Even in densely vegetated areas, sufficient coherence was obtained from the data pair at intervals of several months. These results show that SCOPE has high potential for detecting crustal deformation based on repeated observations.
Funder
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Fuji Technology Press Ltd.
Subject
Engineering (miscellaneous),Safety, Risk, Reliability and Quality
Reference13 articles.
1. Y. Miyagi, T. Ozawa, T. Kozono, and M. Shimada, “Long-term lava extrusion after the 2011 Shinmoe-dake eruption detected by DInSAR observations,” Geophys. Res. Lett., Vol.41, No.16, pp. 5855-5860, doi: 10.1002/2014GL060829, 2014. 2. F. Amelung, S. Jónsson, H. Zebker, and P. Segall, “Widespread uplift and ‘trapdoor’ faulting on Galápagos volcanoes observed with radar interferometry,” Nature, Vol.407, No.6807, pp. 993-996, doi: 10.1038/35039604, 2000. 3. H. Ueda, E. Fujita, M. Ukawa, E. Yamamoto, M. Irwan, and F. Kimata, “Magma intrusion and discharge process at the initial stage of the 2000 activity of Miyakejima, Central Japan, inferred from tilt and GPS data,” Geophs. J. Int., Vol.161, No.3, pp. 891-906, 2005. 4. D. Tarchi, N. Casagli, S. Moretti, D. Leva, and A. J. Sieber, “Monitoring landslide displacements by using ground-based synthetic aperture radar interferometry: Application to the Ruinon landslide in the Italian Alps,” J. Geophys. Res. Solid Earth, Vol.108, Issue B8, Article No.2387, doi: 10.1029/2002JB002204, 2003. 5. F. D. Traglia, M. Battaglia, T. Nolesini, D. Lagomarsino, and N. Casagli, “Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data,” Scientific Reports, Vol.5, Article No.13569, doi: 10.1038/srep13569, 2015.
|
|