Abstract
Abstract. This work shows two examples on the use of Sentinel-1 data for monitoring different natural processes, like active geohazards or glacier dynamics in the Patagonia region. Sentinel-1 is a two-satellite constellation, launched by the European Space Agency (ESA), that provides SAR imagery with interferometric capabilities. It is in operation since 2014 and has supposed a significant improvement in the exploitation of these type of data for applications like natural hazards mapping and monitoring. The acquisition policy, that guarantees an acquisition each few days (12 days in Patagonia region) for both ascending and descending trajectories, and the data distribution policy, that allows free access to the images without legal constrains, are the main reasons for this improvement. These two aspects allowed not only to assure the data in the past but also to perform monitoring plans at medium-long term. In this work we show the potentialities of the use of these data in the Patagonia region through the application of two different techniques in two different application test sites: urban areas and glaciers.
Highlights
The stability threshold has been fixed as ±3 mm/yr that is approximately 2.5 times the standard deviation
We applied the approach to a pair of Sentinel-1 IW SLC images acquired the 14th of January and the 7th February of 2019
The key point, is that it can be applied at a regional level in all the Shoutern Patagonia Ice field and in a systematic way each 12 days, providing a new source of knowledge about the glacier dynamics changes at both short and medium term
Summary
Since their appearance in the 80s, satellite Synthetic Aperture Radar (SAR) systems have been widely used for the study of natural processes like volcanic activity (Hooper et al 2004, Antonielli et al 2014), landslides (Bovenga et al 2012, Herrera et al 2009), subsidences (Amelung et al 1999, Biescas et al 2007) and glacier dynamics (Strozzi et al 2002, Burgess et al 2013) or snow cover (Pettinato et al 2012). The phase contains the information related to the sensor-target distance It can be exploited by analyzing the phase changes between images acquired from different points of view or at different times. The technique that exploits these differences is named SAR interferometry (InSAR) and has been widely used for digital elevation model generation (Van Zyl 2001, Krieger et al 2007) or terrain movement measurement and monitoring (Crosetto et al 2016). It allows the detection and monitoring of slow ground movements, up to millimeter order. The main applications have been related to different geological processes such as landslides, subsidence’s or volcanic activity or earthquakes (Notti et al 2014, Osmanoğlu et al 2011, Lundgren et al 2004, Massonnet and Feigl 1998)
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