Adriano Nobile

Research Scientist

Current

Research Interest

In my research, I primarily use the satellite radar interferometry (InSAR) technique to study ground deformations associated with volcanic, earthquakes, and landslide processes. I use both the simple differential and the multi-temporal InSAR techniques, depending on the studied process and area. Combining InSAR results with other remote sensing data, ground-based measurements, geological information, and using analytical models to estimate the deformation source(s) parameters, I try to understand the tectonic mechanisms that drive the deformation.

Selected Publications

Nobile, A., A. Dille, E. Monsieurs, J. Basimike, , T.M. Bibentyo, N. d’Oreye, F. Kervyn, and O. Dewitte (2018), Multi-temporal dinsar to characterise landslide ground deformations in a tropical urban environment: Focus on Bukavu (DR Congo), Remote Sensing 10(4). https://doi.org/10.3390/rs10040626

Nobile A., V. Acocella, J. Ruch, Y. Aoki, S. Borgstrom, V. Siniscalchi, N. Geshi, Steady subsidence of a repeatedly erupting caldera through InSAR observations: Aso, Japan (2017), Bulletin of Volcanology, doi: 10.1007/s00445-017-1112-1

Nobile, A., C. Pagli, D. Keir, T. J. Wright, A. Ayele, J. Ruch, and V. Acocella (2012), Dike-fault interaction during the 2004 Dallol intrusion at the northern edge of the Erta Ale Ridge (Afar, Ethiopia), Geophys. Res. Lett., 39, L19305, doi:10.1029/2012GL053152.

Education

  • ​​Ph.D., Earth Science, Roma Tre University, Italy
  • M.S., Physics, Sapienza University, Italy

Professional Profile

From September 2018 – Research Scientist – KAUST – Saudi Arabia

Topic: InSAR analysis of crustal deformation associated to seismic and volcanic processes

 

October 2014 – July 2018 – Post-Doc - Royal Museum for Central Africa (RMCA) – Belgium

Topic: InSAR analysis along the Kivu Rift segment to study volcanic and landslides processes 

 

August 2013 – July 2014 – Post-Doc – INGV – Italy

Topic: Inter-seismic displacement along the North Anatolian Fault through InSAR analysis