Articles | Volume 382
https://doi.org/10.5194/piahs-382-31-2020
https://doi.org/10.5194/piahs-382-31-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Nationwide deformation monitoring with SqueeSAR® using Sentinel-1 data

Christine A. Bischoff, Alessandro Ferretti, Fabrizio Novali, Andrea Uttini, Chiara Giannico, and Francesco Meloni

Related authors

Updating the subsidence map of Emilia-Romagna region (Italy) by integration of SAR interferometry and GNSS time series: the 2011–2016 period
Gabriele Bitelli, Flavio Bonsignore, Sara Del Conte, Francesca Franci, Alessandro Lambertini, Fabrizio Novali, Paolo Severi, and Luca Vittuari
Proc. IAHS, 382, 39–44, https://doi.org/10.5194/piahs-382-39-2020,https://doi.org/10.5194/piahs-382-39-2020, 2020

Cited articles

Faunt, C. C., Sneed, M., Traum, J., and Brandt, J. T.: Water availability and land subsidence in the Central Valley, California, USA, Hydrogeol. J., 24, 675–684, https://doi.org/10.1007/s10040-015-1339-x, 2016. 
Ferretti, A.: Satellite InSAR Data – Reservoir Monitoring from Space, EAGE Publications bv., 156 pp.,2014.  
Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F., and Rucci, A.: A new algorithm for processing interferometric data-stacks: SqueeSAR, IEEE T. Geosci. Remote, 49, 3460–3470, https://doi.org/10.1109/TGRS.2011.2124465, 2011. 
Ferretti, A., Novali, F., Giannico, C., Uttini, A., Iannicella, I., and Mizuno, T.: A squeesar database over the entire japanese territory, in: IGARSS 2019, IEEE, Yokohama, 28 July–2 August 2019, https://doi.org/10.1109/IGARSS.2019.8900052, 2019. 
Fujiwara, S., Yarai, H., Kobayashi, T., Morishita, Y., Nakano, T., Miyahara, B., Nakai, H., Miura, Y., Ueshiba, H., Kakiage, Y., and Une, H.: Small-displacement linear surface ruptures of the 2016 Kumamoto earthquake sequence detected by ALOS-2 SAR interferometry, Earth Planets Space, 68, p. 160, https://doi.org/10.1186/s40623-016-0534-x, 2016. 
Download
Short summary
Subsidence can now be routinely mapped on a national scale thanks to ESA’s Sentinel-1 satellites and advanced, scalable processing algorithms such as SqueeSAR®. In order to be integrated into existing monitoring programmes, the SqueeSAR® datasets can be calibrated with GNSS measurements. The dense spatial coverage of SqueeSAR® deformation maps captures local deformation phenomena, and with appropriate calibration, can advance the understanding of regional deformation trends.