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An overview of the small BAseline subset algorithm: A DInSAR technique for surface deformation analysis

机译:小BAseline子集算法概述:一种用于表面变形分析的DInSAR技术

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摘要

We present an overview of the Differential SAR Interferometry algorithm referred to as Small BAseline Subset (SBAS) technique, that allows us to detect surface deformation and to analyze their space-time characteristics. Following the description of the main theoretical aspects of the algorithm, we present several results obtained by applying the SBAS approach in selected case studies relevant to phenomena affecting volcanic areas (Campi Flegrei caldera and Somma-Vesuvio complex, Italy), aquifers (Santa Clara area within the San Francisco bay, California) and landslides (Maratea Valley, Italy). The overall analysis is carried out by using multilook DInSAR interferograms with a spatial resolution of the order of 100 x 100 m, computed from SAR data acquired by the ERS-1 and ERS-2 sensors. In particular, we highlight the peculiarities of the SBAS technique and its surface deformation retrieval capability for what concerns both large-scale deformation phenomena and more localized displacement effects.
机译:我们概述了称为小BAseline子集(SBAS)技术的差分SAR干涉测量算法,该算法使我们能够检测表面变形并分析其时空特征。在描述了算法的主要理论方面之后,我们介绍了通过在选定的案例研究中应用SBAS方法获得的一些结果,这些案例研究与影响火山区(Campi Flegrei火山口和意大利Somma-Vesuvio复合体),含水层(圣塔克拉拉地区)的现象有关位于加利福尼亚州旧金山湾)和山体滑坡(意大利马拉泰亚山谷)。通过使用从ERS-1和ERS-2传感器获取的SAR数据计算出的,空间分辨率为100 x 100 m的多视DInSAR干涉图进行总体分析。特别是,我们着重介绍了SBAS技术的特殊性及其表面变形检索功能,该技术既涉及大规模变形现象,又涉及局部位移效应。

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