Improved characterization of slow-moving landslides by means of adaptive NL-InSAR filtering

David Albiol; Rubén Iglesias; Francisco Sánchez; Javier Duro

doi:10.1117/12.2067357

21 October 2014 Improved characterization of slow-moving landslides by means of adaptive NL-InSAR filtering

David Albiol, Rubén Iglesias, Francisco Sánchez, Javier Duro

Proceedings Volume 9243, SAR Image Analysis, Modeling, and Techniques XIV; 924308 (2014) https://doi.org/10.1117/12.2067357
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

Advanced remote sensing techniques based on space-borne Synthetic Aperture Radar (SAR) have been developed during the last decade showing their applicability for the monitoring of surface displacements in landslide areas. This paper presents an advanced Persistent Scatterer Interferometry (PSI) processing based on the Stable Point Network (SPN) technique, developed by the company Altamira-Information, for the monitoring of an active slowmoving landslide in the mountainous environment of El Portalet, Central Spanish Pyrenees. For this purpose, two TerraSAR-X data sets acquired in ascending mode corresponding to the period from April to November 2011, and from August to November 2013, respectively, are employed. The objective of this work is twofold. On the one hand, the benefits of employing Nonlocal Interferomtric SAR (NL-InSAR) adaptive filtering techniques over vegetated scenarios to maximize the chances of detecting natural distributed scatterers, such as bare or rocky areas, and deterministic point-like scatterers, such as man-made structures or poles, is put forward. In this context, the final PSI displacement maps retrieved with the proposed filtering technique are compared in terms of pixels' density and quality with classical PSI, showing a significant improvement. On the other hand, since SAR systems are only sensitive to detect displacements in the line-of-sight (LOS) direction, the importance of projecting the PSI displacement results retrieved along the steepest gradient of the terrain slope is discussed. The improvements presented in this paper are particularly interesting in these type of applications since they clearly allow to better determine the extension and dynamics of complex landslide phenomena.

Citation Download Citation

David Albiol, Rubén Iglesias, Francisco Sánchez, and Javier Duro "Improved characterization of slow-moving landslides by means of adaptive NL-InSAR filtering", Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 924308 (21 October 2014); https://doi.org/10.1117/12.2067357

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available