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Christophe Fatras
Christophe Fatras
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Year
AMMA‐CATCH, a critical zone observatory in West Africa monitoring a region in transition
S Galle, M Grippa, C Peugeot, IB Moussa, B Cappelaere, J Demarty, ...
Vadose Zone Journal 17 (1), 1-24, 2018
702018
Radar altimetry backscattering signatures at Ka, Ku, C, and S bands over West Africa
F Frappart, C Fatras, E Mougin, V Marieu, AT Diepkilé, F Blarel, ...
Physics and Chemistry of the Earth, Parts A/b/c 83, 96-110, 2015
502015
Estimating surface soil moisture over Sahel using ENVISAT radar altimetry
C Fatras, F Frappart, É Mougin, M Grippa, P Hiernaux
Remote sensing of environment 123, 496-507, 2012
402012
Spaceborne altimetry and scatterometry backscattering signatures at C-and Ku-bands over West Africa
C Fatras, F Frappart, E Mougin, PL Frison, G Faye, P Borderies, L Jarlan
Remote Sensing of Environment 159, 117-133, 2015
292015
Ka‐band backscattering from water surface at small incidence: A wind‐wave tank study
O Boisot, S Pioch, C Fatras, G Caulliez, A Bringer, P Borderies, ...
Journal of Geophysical Research: Oceans 120 (5), 3261-3285, 2015
262015
Improvement of flood extent representation with remote sensing data and data assimilation
TH Nguyen, S Ricci, C Fatras, A Piacentini, A Delmotte, E Lavergne, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-22, 2022
202022
Impact of surface soil moisture variations on radar altimetry echoes at Ku and Ka bands in semi-arid areas
C Fatras, P Borderies, F Frappart, E Mougin, D Blumstein, F Niño
Remote Sensing 10 (4), 582, 2018
122018
Hydrological dynamics of the Congo Basin from water surfaces based on L‐band microwave
C Fatras, M Parrens, S Peña Luque, A Al Bitar
Water Resources Research 57 (2), e2020WR027259, 2021
112021
Radar backscattering coefficient over bare soils at Ka-band close to nadir angle
C Fatras, P Borderies, N Baghdadi, M Zribi, M El Hajj, F Frappart, ...
IEEE Geoscience and Remote Sensing Letters 13 (9), 1290-1294, 2016
112016
Altimetry backscattering signatures at Ku and S bands over land and ice sheets
F Blarel, F Frappart, B Legrésy, D Blumstein, F Rémy, C Fatras, E Mougin, ...
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII 9637, 315-324, 2015
112015
Global weekly inland surface water dynamics from L-band microwave
A Al Bitar, M Parrens, C Fatras, SP Luque
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
102020
Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis
TH Nguyen, S Ricci, A Piacentini, C Fatras, P Kettig, G Blanchet, ...
Water Resources Research 58 (11), e2022WR033155, 2022
92022
Validation and improvement of data assimilation for flood hydrodynamic modelling using SAR imagery data
TH Nguyen, A Delmotte, C Fatras, P Kettig, A Piacentini, S Ricci
arXiv preprint arXiv:2109.07470, 2021
82021
Assimilation of SAR-derived flood extent observations for improving fluvial flood forecast–A proof-of-concept
TH Nguyen, S Ricci, A Piacentini, C Fatras, P Kettig, G Blanchet, ...
IOP Conference Series: Earth and Environmental Science 1136 (1), 012018, 2023
52023
Etude de la rétrodiffusion altimétrique pour la caractérisation des surfaces et de l'humidité des sols en Afrique de l'Ouest
C Fatras
Université Paul Sabatier-Toulouse III, 2015
32015
Estimating ice retreat on Greenwich island–Antarctica between 1956 and 2019 using optical and SAR imagery
C Fatras, BF Fernandez-Palma, C Martillo
Polar Science 24, 100526, 2020
22020
Radar altimetry backscattering signatures at Ka, Ku, C and S bands over land
F Blarel, F Frappart, B Legrésy, D Blumstein, C Fatras, E Mougin, F Papa, ...
Living Planet Symposium 740, 426, 2016
22016
Improvement of Flood Extent Representation with Remote Sensing Data and Data Assimilation Applied to Hydrodynamic Numerical Models
TH Nguyen, S Ricci, C Fatras, A Piacentini, A Delmotte, E Lavergne, ...
Electrical Engineering and Systems Science, 2021
12021
Global 1D river bathymetry estimation from remotely sensed observations
IR de Oliveira Silva, PO Malaterre, C Fatras, H Oubanas, I Gejadze, ...
EGU24, 2024
2024
Merits of Data Assimilation on Improving Flood Forecasting-A case study of Ohio Cannelton-Newburgh
S Ricci, TH Nguyen, A Piacentini, R Rodriguez-Suquet, S Pena-Luque, ...
EGU24, 2024
2024
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