Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Juzer Dhondia"'
Publikováno v:
Journal of Hydroinformatics. 22:1338-1350
Streamflow forecasts from operational hydrologic models can be converted into forecasts of flood-inundation extent using either physically based hydraulic models or simpler terrain-based approaches. Two factors that influence simulated flood-inundati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60161fc3d5036043e0eb267ee736a21d
https://doi.org/10.2166/hydro.2020.005
https://doi.org/10.2166/hydro.2020.005
Autor:
Steven J. Cole, Linda Speight, Bruce J. Wright, Robert J. Moore, Sohan Ghimire, Clive Pierce, Amy Tavendale, Juzer Dhondia, Brian Golding, Michael Cranston
Publikováno v:
Journal of Flood Risk Management. 11:S884-S901
Existing surface water flood forecasting methods in Scotland are based on indicative depth‐duration rainfall thresholds with limited understanding of the likelihood of inundation or associated impacts. Innovative risk‐based solutions are urgently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2400ba719a788145ee276a8a8f5078a
https://doi.org/10.1111/jfr3.12281
https://doi.org/10.1111/jfr3.12281
Publikováno v:
Computers & Geosciences. 36:453-463
This paper describes the generic data assimilation software tool DATools. DATools can be used as standalone or within Delft-FEWS. DATools is completely configurable via XML configuration. DATools is built up of three components: a Filter, a Stochasti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af9e59014683d23226084b6c43c46185
https://doi.org/10.1016/j.cageo.2009.07.009
https://doi.org/10.1016/j.cageo.2009.07.009
Autor:
Thomas R. H. Holmes, Paulo Reggiani, Albrecht Weerts, Juzer Dhondia, H. Beck, John van de Vegte, Manfred Owe, Jeroen C. J. H. Aerts, Richard A. M. De Jeu
Publikováno v:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
De Jeu, R A M, Weerts, A, Reggiani, P, Dhondia, J, Beck, H, Holmes, T, Aerts, J, Van De Vegte, J & Owe, M 2007, Integrating earth observation data in hydrological runoff models . in Remote Sensing for Agriculture, Ecosystems, and Hydrology IX ., 674202, Proceedings of SPIE-The International Society for Optical Engineering, vol. 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, Florence, Italy, 18/09/07 . https://doi.org/10.1117/12.737899
De Jeu, R A M, Weerts, A, Reggiani, P, Dhondia, J, Beck, H, Holmes, T, Aerts, J, Van De Vegte, J & Owe, M 2007, Integrating earth observation data in hydrological runoff models . in Remote Sensing for Agriculture, Ecosystems, and Hydrology IX ., 674202, Proceedings of SPIE-The International Society for Optical Engineering, vol. 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, Florence, Italy, 18/09/07 . https://doi.org/10.1117/12.737899
The remote sensing and GIS communities are still separate worlds with their own tools and data formats. It is extremely difficult to easily share data among scientists representing these communities without performing some cumbersome conversions. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::185bf387c6aa266e65e9762ce634d1d7
https://research.vu.nl/en/publications/1020c5d7-c5cd-4f73-b91a-f55ffb2eb4b8
https://research.vu.nl/en/publications/1020c5d7-c5cd-4f73-b91a-f55ffb2eb4b8
