Articles | Volume 18, issue 5
https://doi.org/10.5194/nhess-18-1493-2018
https://doi.org/10.5194/nhess-18-1493-2018
Research article
 | 
30 May 2018
Research article |  | 30 May 2018

Low cost, multiscale and multi-sensor application for flooded area mapping

Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia

Related authors

Monthly velocity and seasonal variations of the Mont Blanc glaciers derived from Sentinel-2 between 2016 and 2024
Fabrizio Troilo, Niccolò Dematteis, Francesco Zucca, Martin Funk, and Daniele Giordan
The Cryosphere, 18, 3891–3909, https://doi.org/10.5194/tc-18-3891-2024,https://doi.org/10.5194/tc-18-3891-2024, 2024
Short summary
Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine
Davide Notti, Martina Cignetti, Danilo Godone, and Daniele Giordan
Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023,https://doi.org/10.5194/nhess-23-2625-2023, 2023
Short summary
ESTIMATING CROP DENSITY FROM MULTI-SPECTRAL UAV IMAGERY IN MAIZE CROP
D. Stroppiana, M. Pepe, M. Boschetti, A. Crema, G. Candiani, D. Giordan, M. Baldo, P. Allasia, and L. Monopoli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 619–624, https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-619-2019, 2019
Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy)
Michele Santangelo, Massimiliano Alvioli, Marco Baldo, Mauro Cardinali, Daniele Giordan, Fausto Guzzetti, Ivan Marchesini, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 19, 325–335, https://doi.org/10.5194/nhess-19-325-2019,https://doi.org/10.5194/nhess-19-325-2019, 2019
Short summary
Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards
Daniele Giordan, Yuichi S. Hayakawa, Francesco Nex, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 3085–3087, https://doi.org/10.5194/nhess-18-3085-2018,https://doi.org/10.5194/nhess-18-3085-2018, 2018
Short summary

Related subject area

Hydrological Hazards
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024,https://doi.org/10.5194/nhess-24-2995-2024, 2024
Short summary
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024,https://doi.org/10.5194/nhess-24-2953-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024,https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024,https://doi.org/10.5194/nhess-24-2857-2024, 2024
Short summary
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024,https://doi.org/10.5194/nhess-24-2817-2024, 2024
Short summary

Cited articles

Ahamed, A., Bolten, J., Doyle, C., and Fayne, J.: Near Real-Time Flood Monitoring and Impact Assessment Systems, in: Remote Sensing of Hydrological Extremes, Springer International Publishing, Cham, 105–118, https://doi.org/10.1007/978-3-319-43744-6_6, 2017. 
Amadio, M., Mysiak, J., Carrera, L., and Koks, E.: Improving flood damage assessment models in Italy, Nat. Hazards, 82, 2075–2088, https://doi.org/10.1007/s11069-016-2286-0, 2016. 
ARPA Piemonte: Evento alluvionale 21–26 novembre 2016 – rapporto preliminare (Italian), 21–25 November flood event preliminary report, available at: http://www.arpa.piemonte.gov.it/pubblicazioni-2/relazioni-tecniche/analisi-eventi/eventi-2016/rapporto-preliminare-novembre-2016-def.pdf/at_download/file (last access: 1 December 2017), 2016. 
Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.: Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391, https://doi.org/10.5194/nhess-13-1375-2013, 2013. 
Barredo, J. I.: Major flood disasters in Europe: 1950–2005, Nat. Hazards, 42, 125–148, https://doi.org/10.1007/s11069-006-9065-2, 2007. 
Download
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-D model with structure from motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
Altmetrics
Final-revised paper
Preprint