Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2473-2022
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, Alessandro C. Mondini, and Stefania Camici

Related authors

On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023,https://doi.org/10.5194/hess-27-4485-2023, 2023
Short summary
Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Jacopo Dari, Luca Brocca, Sara Modanesi, Christian Massari, Angelica Tarpanelli, Silvia Barbetta, Raphael Quast, Mariette Vreugdenhil, Vahid Freeman, Anaïs Barella-Ortiz, Pere Quintana-Seguí, David Bretreger, and Espen Volden
Earth Syst. Sci. Data, 15, 1555–1575, https://doi.org/10.5194/essd-15-1555-2023,https://doi.org/10.5194/essd-15-1555-2023, 2023
Short summary
Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP
Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 4685–4706, https://doi.org/10.5194/hess-26-4685-2022,https://doi.org/10.5194/hess-26-4685-2022, 2022
Short summary
Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation
Stefania Camici, Gabriele Giuliani, Luca Brocca, Christian Massari, Angelica Tarpanelli, Hassan Hashemi Farahani, Nico Sneeuw, Marco Restano, and Jérôme Benveniste
Geosci. Model Dev., 15, 6935–6956, https://doi.org/10.5194/gmd-15-6935-2022,https://doi.org/10.5194/gmd-15-6935-2022, 2022
Short summary
High-resolution satellite products improve hydrological modeling in northern Italy
Lorenzo Alfieri, Francesco Avanzi, Fabio Delogu, Simone Gabellani, Giulia Bruno, Lorenzo Campo, Andrea Libertino, Christian Massari, Angelica Tarpanelli, Dominik Rains, Diego G. Miralles, Raphael Quast, Mariette Vreugdenhil, Huan Wu, and Luca Brocca
Hydrol. Earth Syst. Sci., 26, 3921–3939, https://doi.org/10.5194/hess-26-3921-2022,https://doi.org/10.5194/hess-26-3921-2022, 2022
Short summary

Related subject area

Hydrological Hazards
Modelling urban stormwater drainage overflows for assessing flood hazards: application to the urban area of Dakar (Senegal)
Laurent Pascal Malang Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
Nat. Hazards Earth Syst. Sci., 25, 1095–1112, https://doi.org/10.5194/nhess-25-1095-2025,https://doi.org/10.5194/nhess-25-1095-2025, 2025
Short summary
Dynamics and impacts of monsoon-induced geological hazards: a 2022 flood study along the Swat River in Pakistan
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, Wang Hao, Adil Poshad Khan, Muhammad Waseem, Yao Shunyu, Muhammad Ramzan, Li Wanhong, and Tashfain Ahmed
Nat. Hazards Earth Syst. Sci., 25, 1071–1093, https://doi.org/10.5194/nhess-25-1071-2025,https://doi.org/10.5194/nhess-25-1071-2025, 2025
Short summary
Monte Carlo-based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in western Germany
Shahin Khosh Bin Ghomash, Patricio Yeste, Heiko Apel, and Viet Dung Nguyen
Nat. Hazards Earth Syst. Sci., 25, 975–990, https://doi.org/10.5194/nhess-25-975-2025,https://doi.org/10.5194/nhess-25-975-2025, 2025
Short summary
Mind the gap: misalignment between drought monitoring and community realities
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
Nat. Hazards Earth Syst. Sci., 25, 893–912, https://doi.org/10.5194/nhess-25-893-2025,https://doi.org/10.5194/nhess-25-893-2025, 2025
Short summary
Post-wildfire sediment source and transport modeling, empirical observations, and applied mitigation: an Arizona, USA, case study
Edward R. Schenk, Alex Wood, Allen Haden, Gabriel Baca, Jake Fleishman, and Joe Loverich
Nat. Hazards Earth Syst. Sci., 25, 727–745, https://doi.org/10.5194/nhess-25-727-2025,https://doi.org/10.5194/nhess-25-727-2025, 2025
Short summary

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. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint