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Integrated monitoring of dams and large ponds: the role of satellite radar interferometry and the European ground motion service
Indexado
WoS WOS:001454174300001
Scopus SCOPUS_ID:105001497852
DOI 10.1007/S12518-025-00624-8
Año 2025
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Satellite radar interferometry (InSAR) has become an invaluable tool for monitoring dams and large ponds, providing significant advantages when complemented with geotechnical and geodetic monitoring. InSAR uses radar signals from satellites to detect ground movements with millimeter precision by comparing phase differences between images taken at different times. This technique enables large-scale, continuous monitoring, which is critical for identifying potential structural problems and preventing catastrophic failures. Unlike traditional geotechnical and geodetic monitoring, which require extensive equipment and manual data collection, InSAR provides a non-intrusive, efficient solution that covers vast areas with high temporal frequency. The European Ground Motion Service (EGMS) exemplifies these advantages by providing standardized ground motion data across Europe, derived from Sentinel-1 satellite radar data. EGMS enables routine and comprehensive monitoring of ground stability and infrastructure integrity, assisting in the early detection of deformation patterns and supporting proactive maintenance and risk management. For dam managers, the integration of InSAR with traditional methods enhances the reliability of structural health assessments. Geotechnical sensors offer localized information on soil and material properties, while geodetic methods provide precise positional data; InSAR complements these by delivering comprehensive, continuous deformation maps. This synergy ensures robust monitoring and enhances the ability to predict and mitigate potential problems, significantly improving the effectiveness and efficiency of monitoring dams and large ponds, and contributing to safer and more resilient infrastructure management. This work presents several case studies from the SIAGUA project as examples, highlighting the practical applications and benefits of combining InSAR with traditional monitoring techniques.

Revista



Revista ISSN
Applied Geomatics 1866-9298

Métricas Externas



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Disciplinas de Investigación



WOS
Remote Sensing
Scopus
Geography, Planning And Development
Environmental Science (Miscellaneous)
Earth And Planetary Sciences (Miscellaneous)
Engineering (Miscellaneous)
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Ruiz-Armenteros, Antonio Miguel - Univ Jaen - España
Universidad de Jaén - España
2 Marchamalo-Sacristan, Miguel - Univ Politecn Madrid - España
Universidad Politécnica de Madrid - España
3 Lamas-Fernandez, Francisco - UNIV GRANADA - España
Universidad de Granada - España
4 Hernandez-Cabezudo, Alvaro - Detektia Earth Srface Monitoring SL - España
5 Fernandez-Landa, Alfredo - Detektia Earth Srface Monitoring SL - España
6 Delgado-Blasco, Jose Manuel - Univ Jaen - España
Universidad de Jaén - España
7 Bakon, Matus - insar Sk Sro - República Eslovaca
Univ Presov Presov - República Eslovaca
insar.sk s.r.o. - República Eslovaca
University of Presov in Presov - República Eslovaca
8 Lazecky, Milan - UNIV LEEDS - Reino Unido
VSB TU Ostrava - República Checa
University of Leeds - Reino Unido
VSB – Technical University of Ostrava - República Checa
9 Perissin, Daniele - Raser Ltd - China
Univ Padua - Italia
RASER Limited - Hong Kong
Università degli Studi di Padova - Italia
10 Papco, Juraj - Slovak Univ Technol Bratislava - República Eslovaca
Slovak University of Technology in Bratislava - República Eslovaca
11 Whittle, Andrew J. Hombre Inteligencia Geotecn SpA - Chile
12 Garcia-Balboa, Jose Luis - Univ Jaen - España
Universidad de Jaén - España
13 Mesa-Mingorance, Jose Luis - Univ Jaen - España
Universidad de Jaén - España
14 da Penha Pacheco, Admilson - Univ Fed Pernambuco - Brasil
Universidade Federal de Pernambuco - Brasil
15 Jurado-Rodriguez, Juan Manuel - Univ Jaen - España
Universidad de Jaén - España
16 Sousa, Joaquim J. - Univ Tras Os Montes & Alto Douro - Portugal
INESC TEC INESC Technol & Sci - Portugal
University of Trás-os-Montes and Alto Douro - Portugal
Institute for Systems and Computer Engineering, Technology and Science - Portugal

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Financiamiento



Fuente
European Commission
Junta de Andalucía
Universidad de Jaén
MCIN/AEI
FEDER, EU

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
SIAGUA research project PID2021-128123OB-C21 and PID2021-128123OB-C22 funded by MCIN/AEI/10.13039/501100011033/FEDER, EU.
The velocity maps presented in some figures are derived from the EGMS Service ( https://egms.land.copernicus.eu/ ). This work is supported by: a) the SIAGUA research project PID2021-128123OB-C21 and PID2021-128123OB-C22 funded by MCIN/AEI/10.13039/501100011033/FEDER, EU, b) the POAIUJA-2023/2024 and CEACTEMA of the University of Ja\u00E9n, and c) the RNM-282 Microgeodesia Ja\u00E9n research group of the Junta de Andaluc\u00EDa. The authors express their gratitude for the support received from the Direcci\u00F3n General de Infraestructuras del Agua (Consejer\u00EDa de Agricultura, Ganader\u00EDa, Pesca y Desarrollo Sostenible de la Junta de Andaluc\u00EDa), Confederaci\u00F3n Hidrogr\u00E1fica del Guadalquivir and TYPSA for the information provided regarding the dams and validation data.

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