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.

Semiautomatic analysis of EGMS InSAR data for geohazards detection: a study on Lazio Region (Italy) through ADATools / Medici, Camilla; Becattini, Francesco; Del Soldato, Matteo; Bianchini, Silvia. - In: GEOMATICS, NATURAL HAZARDS & RISK. - ISSN 1947-5705. - ELETTRONICO. - 16:(2025), pp. 2582755.0-2582755.0. [10.1080/19475705.2025.2582755]

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

Medici, Camilla;Becattini, Francesco;Del Soldato, Matteo;Bianchini, Silvia
2025

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.
2025
16
0
0
Medici, Camilla; Becattini, Francesco; Del Soldato, Matteo; Bianchini, Silvia
File in questo prodotto:
File Dimensione Formato  
Medici et al., 2025 - Semiautomatic analysis of EGMS InSAR data for geohazards detection a study on Lazio Region (Italy) through ADATools.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 8.27 MB
Formato Adobe PDF
8.27 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1470433
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact