Abstract
AbstractSatellite radar interferometry is a powerful tool for measuring displacements of the Earth’s surface. However, we recommend to extend the currently prevailing focus on ex-post analyses and monitoring towards ex-ante early warning applications. Underlying challenges and key requirements are discussed.
Funder
University of Natural Resources and Life Sciences Vienna
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Reference18 articles.
1. Ansari H, De Francesco Z, Richard B (2017) Sequential estimator: toward efficient InSAR time series analysis. IEEE Trans Geosci Remote Sens 55(10):5637–5652
2. Berti M, Corsini A, Franceschini S, Iannacone JP (2013) Automated classification of persistent scatterers interferometry time series. Natural Hazards Earth Syst Sci 13(8):1945–1958
3. Carlà T, Intrieri E, Raspini F, Bardi F, Farina P, Ferretti A, Colombo D, Novali F, Casagli N (2019) Perspectives on the prediction of catastrophic slope failures from satellite InSAR. Sci Rep 9:1
4. Chen Y, Bruzzone L, Jiang L, Sun O (2020) ARU-Net: reduction of atmospheric phase screen in SAR interferometry using attention-based deep residual U-net. IEEE Trans Geosci Remote Sens 59(7):1–14
5. Crosetto M, Monserrat O, Cuevas-González M, Devanthéry N, Crippa B (2016) Persistent Scatterer interferometry: a review. ISPRS J Photogram Remote Sens 115:78–89
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