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Use of L-Band Multitemporal SAR Data for Landslide Monitoring

Contributo in Atti di convegno
Data di Pubblicazione:
2023
Abstract:
In the last two decades, satellite Multi-Temporal Differential Interferometric SAR (DInSAR) techniques have become consolidated tools for studying slow-moving landslides. Moreover, the availability of sensors using different band frequencies and the development of advanced processing algorithms have constantly improved. In this work we discuss the first results of an experimental analysis carried out on multi-temporal multi-baseline L-Band data acquired by the newly launched SAOCOM satellites in the framework of the MEFISTO project founded by the Italian Space Agency (ASI), one of the main aims of which was to test the potentiality of multi-frequency (X, C and L bands) DInSAR data processed with different methodologies applied to a multi-scale slow-landslide analysis.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Landslides; Satellite constellations; Satellites; Urban areas; Tomography; Sensors; Synthetic aperture radar
Elenco autori:
SOLARTE CASANOVA, EDINSON ANDRES; Fornaro, Gianfranco; Sansosti, Eugenio; Pauciullo, Antonio; Pepe, Antonio; Reale, Diego; Imperatore, Pasquale; Verde, Simona
Autori di Ateneo:
FORNARO GIANFRANCO
IMPERATORE PASQUALE
PAUCIULLO ANTONIO
PEPE ANTONIO
REALE DIEGO
SANSOSTI EUGENIO
VERDE SIMONA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/429366
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