Abstract
This work is focused on deformation activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. The main goal is to present a procedure to periodically update and assess the geohazard activity (volcanic activity, landslides and ground-subsidence) of a given area by exploiting the wide area coverage and the high coherence and temporal sampling (revisit time up to six days) provided by the S-1 satellites. The main products of the procedure are two updatable maps: the deformation activity map and the active deformation areas map. These maps present two different levels of information aimed at different levels of geohazard risk management, from a very simplified level of information to the classical deformation map based on SAR interferometry. The methodology has been successfully applied to La Gomera, Tenerife and Gran Canaria Islands (Canary Island archipelago). The main obtained results are discussed.
Highlights
This paper is focused on geohazard activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique
The main products of the procedure are two updatable maps: the deformation activity map and the active deformation areas map. These maps present two different levels of information aimed at different levels of geohazard risk management, from a very simplified level of information to the classical deformation map based on SAR interferometry
For what concerns the temporal window to be processed, we have evaluated that a minimum of one year and a half is necessary in order to get acceptable results in terms of noise level
Summary
This paper is focused on geohazard activity mapping and monitoring using Sentinel-1 (S-1) data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. In the last 25 years, the mapping and monitoring of geohazard phenomena have received an important contribution from the DInSAR technique This approach was firstly proposed in 1989, using data from the L-band Seasat sensor [1]. The first one is the important research and development effort made in this period, which has generated a wide number of data processing and analysis tools and methods. They include the classical single-interferogram DInSAR methods (e.g., see [2,3,4]), the DInSAR stacking techniques [5] and several implementations of the so-called Persistent Scatterer Interferometry (PSI)
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