Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools

Ground deformation analysis through satellite Multi-Temporal Interferometry Synthetic Aperture Radar (MTInSAR) techniques is a well-established practice. A significant breakthrough in this field was the Sentinel−1 (S−1) satellites launch in 2014, providing global, open-access, millimetre-accuracy data. This has paved the way for the European Ground Motion Service (EGMS), an unprecedented Land Monitoring initiative within the European Copernicus programme supplying free, homogenous, annually updated S−1 data. Despite its immense potential, EGMS data remain underexploited due to their volume and complexity of interpretation, particularly for non-expert stakeholders. To address this, the European research project EGMS RASTOOL (DG-HECHO), financed by the Union Mechanism of Civil Protection (UPCM) of the European Commission, has developed ADATools for maximising EGMS utility for geohazard detection and risk assessment. ADATools enable the semiautomatic identification and classification of Active Deformation Areas (ADAs). This study applies ADATools to the Lazio region (Italy), showing their structure and functionality in detecting areas affected by different types of ground movements. The analysis covers the whole region, with three case studies focusing on settlement, the most widespread deformation, landslides, and sinkholes, a well-known issue in the region. Results highlight the effectiveness of semi-automatic methods for interpreting S−1 data, offering a replicable framework for geohazard analysis.

Authors

Institutions

Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2025-11-09
DOI
https://doi.org/10.1080/19475705.2025.2582755
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools

Camilla Medici, Matteo Del Soldato, F. Becattini, Silvia Bianchini
Geomatics Natural Hazards and Risk
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools

Camilla Medici, Matteo Del Soldato, F. Becattini, Silvia Bianchini
article en

Abstract

Ground deformation analysis through satellite Multi-Temporal Interferometry Synthetic Aperture Radar (MTInSAR) techniques is a well-established practice. A significant breakthrough in this field was the Sentinel−1 (S−1) satellites launch in 2014, providing global, open-access, millimetre-accuracy data. This has paved the way for the European Ground Motion Service (EGMS), an unprecedented Land Monitoring initiative within the European Copernicus programme supplying free, homogenous, annually updated S−1 data. Despite its immense potential, EGMS data remain underexploited due to their volume and complexity of interpretation, particularly for non-expert stakeholders. To address this, the European research project EGMS RASTOOL (DG-HECHO), financed by the Union Mechanism of Civil Protection (UPCM) of the European Commission, has developed ADATools for maximising EGMS utility for geohazard detection and risk assessment. ADATools enable the semiautomatic identification and classification of Active Deformation Areas (ADAs). This study applies ADATools to the Lazio region (Italy), showing their structure and functionality in detecting areas affected by different types of ground movements. The analysis covers the whole region, with three case studies focusing on settlement, the most widespread deformation, landslides, and sinkholes, a well-known issue in the region. Results highlight the effectiveness of semi-automatic methods for interpreting S−1 data, offering a replicable framework for geohazard analysis.

Geomatics Natural Hazards and RiskVol. 16(1)
University of Florence (IT)
Openalex Percentile: Top 55%
Synthetic Aperture Radar (SAR) Applications and Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools — Camilla Medici, Matteo Del Soldato, et al. · Geomatics Natural Hazards and Risk (2025) | TGRS Research Map | TGRS