EGU2020-18944
https://doi.org/10.5194/egusphere-egu2020-18944
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Tools for fast analysis of InSAR based displacement maps

Oriol Monserrat1, Anna Barra1, Roberto Tomás2, José Navarro1, Lorenzo Solari1, Gerardo Herrera3, and Michele Crosetto1
Oriol Monserrat et al.
  • 1CTTC, Remote Sensing, Castelldefels, Spain (anna.barra@cttc.es)
  • 2Departamento de Ingeniería Civil, Universidad de Alicante, Alicante, Spain
  • 3Geohazards InSAR Laboratory and Modeling Group, Instituto Geológico y Minero de España (IGME), Madrid, Spain

The use of satellite interferometry (InSAR) is exponentially growing for the detection and monitoring of geohazard related movements. InSAR technique allows to process large areas and to extract high number of displacement measurements at low cost. By the way, the outputs consist of high volumes of information whose interpretation can be complex and time-consuming, mostly for users who are not familiar with radar data. Moreover, the use of InSAR have been moving from local to national, and now we are going towards a European application. In this scenario, the development of methodologies and tools to automatize the extraction of significant information and to facilitate the interpretation of the results, is more and more needed in order to increase their operational use. In this work we present a series of tools developed in the framework of the projects DEMOS (CGL2017- 83704-P), Momit (S2R-H2020/777630), Safety (ECHO/SUB/2015/718679) and U-Geohaz (UCPM-2017-PP-AG/783169). The so-called ADA (Active Displacement Areas) tools have been developed with the aim of ease the management, the use and the interpretation of wide areas results. Starting from the semi-automatic extraction of the most significant Active Displacement Areas (ADAFinder tool) we move to an automatic preliminary assessment of the phenomena that is behind the detected movement (ADAClassifier tool). All these tools go in the same direction of the European Ground Motion Service (EU-GMS) project, which will provide consistent, regular and reliable information regarding natural and anthropogenic ground motion phenomena all over Europe.

How to cite: Monserrat, O., Barra, A., Tomás, R., Navarro, J., Solari, L., Herrera, G., and Crosetto, M.: Tools for fast analysis of InSAR based displacement maps, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18944, https://doi.org/10.5194/egusphere-egu2020-18944, 2020

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