Abstract
Abstract. InSAR (Interferometric Synthetic Aperture Radar) analysis is an effective technique to map 3-dimensional surface deformation with high spatial resolution. The aim of this study was to evaluate the capability of InSAR analysis when applied to ground monitoring of an environmental disaster. We performed a time series InSAR analysis using ENVISAT/ASAR and ALOS/PALSAR data and commercial software to investigate subsidence around the Kanto District of Japan. We also investigated techniques for efficient early detection of landslides in Kyushu using time series analysis that incorporated synthetic aperture radar (SAR) images. ENVISAT/ASAR data acquired from 2003–2010 and ALOS/PALSAR data acquired from 2006–2011 were used to detect poorly expressed geomorphological deformation by conducting time series analyses of periodically acquired SAR data. In addition, to remove noise caused by geographical feature stripes or phase retardation, we applied median filtering, histogram extraction processing, and clarification of the displacement with a Laplacian filter. The main functions of the InSAR time series analysis are the calculation of phase differences between two images and the inversion with smoothness constraint for the estimation of deformation along the line of sight. The results enabled us to establish criteria for the selection of suitable InSAR data pairs, and provided the final error estimation of the derived surface deformation. The results of the analysis in the Kanto District suggested that localized areas of uplift and subsidence have occurred at irregular intervals in this area. Furthermore, the method offers the possibility of early warning of environmental disasters such as landslide and abrupt subsidence. Our results confirm the effectiveness of InSAR analysis for the monitoring of ground deformation over wide areas via the detection of localized subsidence and landslides.
Highlights
Large-scale typhoons and unusual weather have increased local heavy rain, producing conditions that are prone to large-scale landslides and causing extensive damage, because of the steep topography of many mountainous regions in Japan
The results presented here indicate that InSAR is effective in detecting microdisplacements that occur during the early stages of landsliding and that detection of these displacements can be improved by application of filtering processes, at least in the Imari area
The result of InSAR analysis shows that the position of slope collapse can be detected with high precision
Summary
Large-scale typhoons and unusual weather have increased local heavy rain, producing conditions that are prone to large-scale landslides and causing extensive damage, because of the steep topography of many mountainous regions in Japan. It is essential to develop techniques to detect such landslides before their occurrence to plan countermeasure. We demonstrate the use of InSAR technique in detecting early signs of landslides and discuss about the production of related hazard maps. We applied the method of measuring longrange ground deformation by combining InSAR and timeseries analysis (Ferretti et al, 2000, 2001; Berardino et al, 2002; Deguchi et al, 2009) in the Kanto Plain, Japan, using 54 ENVISAT/ASAR images. The Kanto Plain started to subside in the 1910s, with the main causes of land subsidence related to the intake of ground-water for the use in industries, agriculture, waterworks, and other fields. Wanitsuka and Tsukahara dam in Miyazaki prefecture, and Imari area of Saga prefecture, interference fringes were found at the uncollapsed areas
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