Articles | Volume 22, issue 8
Research article
02 Aug 2022
Research article |  | 02 Aug 2022

Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe

Angelica Tarpanelli, Alessandro C. Mondini, and Stefania Camici

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Cited articles

Amici, G., Dell'Acqua, F., Gamba, P., and Pulina, G.: A comparison of fuzzy and neuro-fuzzy data fusion for flooded area mapping using SAR images, Int. J. Remote Sens., 25, 4425–4430,, 2004. 
Amitrano, D., Di Martino, G., Iodice, A., Riccio, D., and Ruello, G.: Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images, IEEE T. Geosci. Remote, 56, 3290–3299,, 2018. 
Anusha, N. and Bharathi, B.: Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data Egypt, J. Remote Sens. Space Sci., 23, 207–219,, 2019. 
Aschbacher, J. and Milagro-Pérez, M. P.: The European Earth monitoring (GMES) programme: Status and perspectives, Remote Sens. Environ., 20, 3–8,, 2012. 
Bazi, Y., Bruzzone, L., and Melgani, F.: An Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, IEEE T. Geosci. Remote, 43, 874–887,, 2005. 
Short summary
We analysed 10 years of river discharge data from almost 2000 sites in Europe, and we extracted flood events, as proxies of flood inundations, based on the overpasses of Sentinel-1 and Sentinel-2 satellites to derive the percentage of potential inundation events that they were able to observe. Results show that on average 58 % of flood events are potentially observable by Sentinel-1 and only 28 % by Sentinel-2 due to the obstacle of cloud coverage.
Final-revised paper