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Akademický článek

Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept

Autor: C. Di Mauro, R. Hostache, P. Matgen, R. Pelich, M. Chini, P. J. van Leeuwen, N. K. Nichols, G. Blöschl

Publikováno v: Hydrology and Earth System Sciences, Vol 25, Pp 4081-4097 (2021)

Coupled hydrologic and hydraulic models represent powerful tools for simulating streamflow and water levels along the riverbed and in the floodplain. However, input data, model parameters, initial conditions, and model structure represent sources of

Externí odkaz: https://doaj.org/article/e5f6d36a0d1b4e9badd814edea183bc1

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Akademický článek

Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case

Autor: R. Hostache, D. Rains, K. Mallick, M. Chini, R. Pelich, H. Lievens, F. Fenicia, G. Corato, N. E. C. Verhoest, P. Matgen

Publikováno v: Hydrology and Earth System Sciences, Vol 24, Pp 4793-4812 (2020)

The main objective of this study is to investigate how brightness temperature observations from satellite microwave sensors may help to reduce errors and uncertainties in soil moisture and evapotranspiration simulations with a large-scale conceptual

Externí odkaz: https://doaj.org/article/64c8bd4a2d3148af8df88be035e439fa

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Akademický článek

DERIVING EXCLUSION MAPS FROM C-BAND SAR TIME-SERIES: AN ADDITIONAL INFORMATION LAYER FOR SAR-BASED FLOOD EXTENT MAPPING

Autor: J. Zhao, M. Chini, R. Pelich, P. Matgen, R. Hostache, S. Cao, W. Wagner

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 395-400 (2020)

Change detection has been widely used in many flood-mapping algorithms using pairs of Synthetic Aperture Radar (SAR) intensity images as floodwater often leads to a substantial decrease of backscatter. However, limitations still exist in many areas,

Externí odkaz: https://doaj.org/article/2bafda8a8c084be8bb641d3c9f3f51c4

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Akademický článek

Sediment transport modelling in riverine environments: on the importance of grain-size distribution, sediment density, and suspended sediment concentrations at the upstream boundary

Autor: J. Lepesqueur, R. Hostache, N. Martínez-Carreras, E. Montargès-Pelletier, C. Hissler

Publikováno v: Hydrology and Earth System Sciences, Vol 23, Pp 3901-3915 (2019)

Hydromorphodynamic models are powerful tools for predicting the potential mobilization and transport of sediment in river ecosystems. Recent studies have shown that they are able to predict suspended sediment matter concentration in small river syste

Externí odkaz: https://doaj.org/article/d93284eb0166496cbf72df918f0161cd

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Akademický článek

Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques

Autor: M. Wood, R. Hostache, J. Neal, T. Wagener, L. Giustarini, M. Chini, G. Corato, P. Matgen, P. Bates

Publikováno v: Hydrology and Earth System Sciences, Vol 20, Iss 12, Pp 4983-4997 (2016)

Single satellite synthetic aperture radar (SAR) data are now regularly used to estimate hydraulic model parameters such as channel roughness, depth and water slope. However, despite channel geometry being critical to the application of hydraulic mode

Externí odkaz: https://doaj.org/article/c06658a7c2a04bfea95bce16f0848568

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Akademický článek

Assimilating SAR-derived water level data into a hydraulic model: a case study

Autor: L. Giustarini, P. Matgen, R. Hostache, M. Montanari, D. Plaza, V. R. N. Pauwels, G. J. M. De Lannoy, R. De Keyser, L. Pfister, L. Hoffmann, H. H. G. Savenije

Publikováno v: Hydrology and Earth System Sciences, Vol 15, Iss 7, Pp 2349-2365 (2011)

Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updatin

Externí odkaz: https://doaj.org/article/68f3125f316d4c9aabea386d016e7656

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Akademický článek

Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept

Autor: P. Matgen, M. Montanari, R. Hostache, L. Pfister, L. Hoffmann, D. Plaza, V. R. N. Pauwels, G. J. M. De Lannoy, R. De Keyser, H. H. G. Savenije

Publikováno v: Hydrology and Earth System Sciences, Vol 14, Iss 9, Pp 1773-1785 (2010)

With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science (e.g. grid computing) enabling the supply and processing of multi-mission satellite data at a temporal frequency that is compatible with real

Externí odkaz: https://doaj.org/article/fa0cee08b42740b38d38e9c12ed0ef25

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Akademický článek

Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages

Autor: M. Montanari, R. Hostache, P. Matgen, G. Schumann, L. Pfister, L. Hoffmann

Publikováno v: Hydrology and Earth System Sciences, Vol 13, Iss 3, Pp 367-380 (2009)

Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remo

Externí odkaz: https://doaj.org/article/978c837ef00846b89c6d0deec3d50ae2

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Akademický článek

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