Abstract

Abstract. The application of Satellite Differential SAR interferometry (DInSAR) has become a reliable solution as a tool for mapping and monitoring geohazards. Few years ago, the main applications of these techniques were devoted to science. However, nowadays, the easy access to SAR imagery and the maturity of the techniques to exploit these type of data has widened the user’s spectrum from only scientists to professional and decision makers. The advent of Sentinel-1 satellites has significantly contributed to this achievement. In particular, in the field of geohazard risk management, Sentinel-1 has solved one of the main constraining factors that hindered the operational use of interferometric techniques in the past: the lack of systematic acquisition plans. In this context, Sentinel-1 assures worldwide coverage with short temporal baselines (6 to 24 days). This has supposed a definitive step towards the implementation of DInSAR based techniques to support decision makers against geohazards. In this work, we show the first experiences of the remote sensing unit of the Geological and Mining Survey of Chile (Sernageomin) with Sentinel-1 data. Three different case studies in different areas of the Chilean territory are presented. The examples illustrate how DInSAR based techniques can provide different levels of information about geohazard activity in different environments.

Highlights

  • At the beginning of this century, the use of Differential SAR interferometry was almost limited to scientific applications and still considered a non conventional tool for mapping and monitoring ground displacements (Kimura and Yamaguchi 2000; Catani et al 2005)

  • Sernageomin has a department that deals with remote sensing techniques applied to give support to these goals

  • In this work we show how these techniques combined with the performances provided by the Satellite SAR Sentinel-1 constellation (Torres et al 2012) are used at Sernageomin for two different purposes: (i) mapping active geohazards that is useful to collect information on wide areas about the activity of known geohazards and to detect new active ones and (ii) to monitor known phenomena

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Summary

INTRODUCTION

At the beginning of this century, the use of Differential SAR interferometry was almost limited to scientific applications and still considered a non conventional tool for mapping and monitoring ground displacements (Kimura and Yamaguchi 2000; Catani et al 2005). The development of advanced methods to exploit stacks of images providing objective measurements of displacements supposed an important step forward to consolidate DInSAR as a reliable geodetic data (Ferretti et al 2001, Berardino et al 2002). These methods, here in advance referred as Advanced-DInSAR (A-DInSAR) methods, are based on estimation tools, statistical analysis, models and image processing (Constantini et al 2002, Lanari et al 2005, Lombardini et al 2005 and Biescas et al 2007).

SENTINEL-1 A-DINSAR FOR GEOHAZARD ACTIVITY ASSESSMENT IN URBAN AREAS
Dataset and used approach
Obtained results
Dataset and main results
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