Zobrazeno 1 - 10
of 382
pro vyhledávání: '"R. Hostache"'
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
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
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
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
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
Akademický článek
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Publikováno v:
Journal of Hydrology. 621:129667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5762c45a2c0f5f83dc5271864eb75289
https://doi.org/10.1016/j.jhydrol.2023.129667
https://doi.org/10.1016/j.jhydrol.2023.129667
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
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
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