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Remote Sensing
Volume 17
Issue 23
10.3390/rs17233849
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification

by
Matteo Mantovani
1,
Federica Ceccotto
1,*,
Angelo Ballaera
1,
Emilia Bertorelle
1,2,
Giulia Bossi
1,
Gianluca Marcato
1 and
Alessandro Pasuto
1
1
National Research Council, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Corso Stati Uniti 4, 35127 Padova, Italy
2
Dipartimento di Fisica e Scienze della Terra, Università degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(23), 3849; https://doi.org/10.3390/rs17233849 (registering DOI)
Submission received: 13 October 2025 / Revised: 14 November 2025 / Accepted: 24 November 2025 / Published: 27 November 2025
Versions Notes

Abstract

This study introduces a Hybrid Interferometric Approach (HIA) tailored for the detection, mapping, and measurement of landslides using Sentinel-1 satellite data. The HIA is specifically designed to identify ground displacements that exceed the detection thresholds of the European Ground Motion Service (EGMS), offering an enhanced capacity for monitoring faster-moving landslides. The methodology integrates multi-baseline interferometric analysis, utilizing backscattered signals from both point-like and distributed radar targets at full spatial resolution. The approach utilizes ten interferometric datasets acquired between 2017 and 2021 from both ascending and descending orbits. Each annual dataset is restricted to a six-month observation window to reduce temporal decorrelation effects. The HIA was implemented in a landslide-prone sector of the Dolomites, a UNESCO World Heritage Site located in the Eastern Italian Alps. Comparative evaluation against EGMS ground motion products demonstrates that the HIA significantly broadens the range of detectable slope instabilities, thus providing a valuable supplement to existing ground motion monitoring services and contributing meaningfully to landslide hazard assessment and risk reduction efforts.
Keywords: EGMS; Sentinel-1; InSAR; landslides; dolomites EGMS; Sentinel-1; InSAR; landslides; dolomites

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MDPI and ACS Style

Mantovani, M.; Ceccotto, F.; Ballaera, A.; Bertorelle, E.; Bossi, G.; Marcato, G.; Pasuto, A. A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification. Remote Sens. 2025, 17, 3849. https://doi.org/10.3390/rs17233849

AMA Style

Mantovani M, Ceccotto F, Ballaera A, Bertorelle E, Bossi G, Marcato G, Pasuto A. A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification. Remote Sensing. 2025; 17(23):3849. https://doi.org/10.3390/rs17233849

Chicago/Turabian Style

Mantovani, Matteo, Federica Ceccotto, Angelo Ballaera, Emilia Bertorelle, Giulia Bossi, Gianluca Marcato, and Alessandro Pasuto. 2025. "A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification" Remote Sensing 17, no. 23: 3849. https://doi.org/10.3390/rs17233849

APA Style

Mantovani, M., Ceccotto, F., Ballaera, A., Bertorelle, E., Bossi, G., Marcato, G., & Pasuto, A. (2025). A Sentinel-1 Based Hybrid Interferometric Approach to Complement EGMS for Landslides Identification. Remote Sensing, 17(23), 3849. https://doi.org/10.3390/rs17233849

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