2024

1. Cerbelaud, A., David, C. H., Biancamaria, S., Wade, J., Tom, M., Prata de Moraes Frasson, R., Allen, G.H., Thurman, H.R. & Blumstein, D. (2024). Spatial Hydrographs of River Flow and their Analysis for Peak Event Detection in the Context of Satellite Sampling. ESS Open Archive . July 29, 2024. https://doi.org/10.22541/au.172228543.36697092/v1.

2. Cerbelaud, A., David, C. H., Biancamaria, S., Wade, J., Tom, M., Prata de Moraes Frasson, R., & Blumstein, D. (2024). Peak flow event durations in the Mississippi River basin and implications for temporal sampling of rivers. Geophysical Research Letters, 51, e2024GL109220. https://doi.org/10.1029/2024GL109220.

2023

1. Cerbelaud, A., Blanchet, G., Roupioz, L., Breil, P., Briottet, X., 2023. Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach. Remote Sens. 15 (9), 2361. https://doi.org/10.3390/rs15092361.

2022

1. Cerbelaud, A., Lefèvre, J., Genthon, P., Menkes, C., 2022. Assessment of the WRF-Hydro uncoupled hydro-meteorological model on flashy watersheds of the Grande Terre tropical island of New Caledonia (South-West Pacific). J. Hydrol. Reg. Stud. 40, 101003. https://doi.org/10.1016/j.ejrh.2022.101003.

2. Cerbelaud, A., Breil, P., Blanchet, G., Roupioz, L., Briottet, X., 2022. Proxy data of surface water floods in rural areas: application to the evaluation of the IRIP intense runoff mapping method based on satellite remote sensing and rainfall radar. Water 14 (3), 393. https://doi.org/10.3390/w14030393. 

3. Payrastre, O., Nicolle, P., Bonnifait, L., Brigode, P., Astagneau, P., Baise, A., Belleville, A., Bouamara, N., Bourgin, F., Breil, P., Brunet, P., Cerbelaud, A., Courapied, F., Devreux, L., Dreyfus, R., Gaume, E., Nomis, S., Poggio, J., Pons, F., Rabab, Y., Sevrez, D., 2022. Tempête Alex du 2 octobre 2020 dans les Alpes-Maritimes : une contribution de la communauté scientifique à l’estimation des débits de pointe des crues. La Houille Blanche 2082891. https://doi.org/10.1080/27678490.2022.2082891.

2021

1. Cerbelaud, A., Roupioz, L., Blanchet, G., Breil, P., Briottet, X., 2021. A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: evidence from three case studies in the South of France. ISPRS J. Photogramm. Remote Sens. 182, 153-175. https://doi.org/10.1016/j.isprsjprs.2021.10.013.

2020

2. Cerbelaud, A., Favro, A., Roupioz, L., Blanchet, G., Briottet, X., Delvit, J.-M., Breil, P, 2020. Potentiel de l'imagerie optique satellitaire à haute résolution pour détecter les dommages engendrés par des épisodes pluvieux extrêmes. La Houille Blanche 6, 66-74. https://doi.org/10.1051/lhb/2020059. (French only)

2024

1. Seminar at LEGOS (Geophysics and Space Oceanography Lab) in Toulouse, France: "How often should we observe our rivers? Progress Towards Satellite Requirements to Capture Discharge Dynamics".

2. Poster & Science application tutorial for the SWOT data access workshop hosted by NASA PO.DAAC at AGU Chapman Remote Sensing of the Water Cycle conference in Honolulu, HI.

2023

1. Talk at AGU 2023 Fall meeting in San Francisco, CA on "Capturing River Discharge Variability with Observations from a High-Frequency Satellite Altimetry Constellation".

2. Cerbelaud, A., Leblois, E., Breil, P., Roupioz, L., Rodriguez-Suquet, R., Blanchet, G., Briottet, X., 2023. Space-time downscaling of extreme rainfall using stochastic simulations, intense runoff susceptibility modeling and remote sensing-based pluvial flood mapping, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12249, https://doi.org/10.5194/egusphere-egu23-12249. 

2022

1. Paper and oral presentation at the 22nd Onera-DLR Symposium (ODAS), 1-3 June 2022, Hamburg, Germany.

2. Poster at the Living Planet Symposium (LPS22), 23-27 May 2022, Bonn, Germany.

3. Cerbelaud, A., 2022. Multi-sensor optical remote sensing for generalized sub-metric detection of pluvial flood damages using U-net CNN and Random Forest., 17th Plinius Conference on Mediterranean Risks, Frascati, Rome, Italy, 18–21 Oct 2022, Plinius17-68, https://doi.org/10.5194/egusphere-plinius17-68.

2021

1. Cerbelaud, A., Lefèvre, J., Genthon, P., Menkes, C., 2021. Assessment of the WRF-Hydro uncoupled hydro-meteorological model on flashy watersheds of the tropical island of New Caledonia (South-West Pacific). EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-344. https://doi.org/10.5194/egusphere-egu21-344.

2. Cerbelaud, A., Roupioz, L., Blanchet, G., Breil, P., Briottet, X., 2021. Supervised classification methods for automatic damage detection caused by heavy rainfall using multitemporal high resolution optical imagery and auxiliary data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLIII-B3-2021, 693–700. https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-693-2021.

2022

1. Recipient of the "My Phd from Space" challenge award from the French National Remote Sensing Program (PNTS - INSU/CNRS) - https://twitter.com/INSU_CNRS/status/1516662446785662980 - Awarded resource: 2k€