Articles | Volume 22, issue 8
Nat. Hazards Earth Syst. Sci., 22, 2473–2489, 2022
https://doi.org/10.5194/nhess-22-2473-2022
Nat. Hazards Earth Syst. Sci., 22, 2473–2489, 2022
https://doi.org/10.5194/nhess-22-2473-2022
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 et al.

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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, https://doi.org/10.1080/01431160412331269634, 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, https://doi.org/10.1109/tgrs.2018.2797536, 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, https://doi.org/10.1016/j.ejrs.2019.01.001, 2019. 
Aschbacher, J. and Milagro-Pérez, M. P.: The European Earth monitoring (GMES) programme: Status and perspectives, Remote Sens. Environ., 20, 3–8, https://doi.org/10.1016/j.rse.2011.08.028, 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, https://doi.org/10.1109/TGRS.2004.842441, 2005. 
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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.
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