caa a22 4500 445814349 CHVBK 20180317145221.0 cr unu---uuuuu 170323e20110501xx s 000 0 eng 10.1007/s10712-011-9111-9 doi (NATIONALLICENCE)springer-10.1007/s10712-011-9111-9 Timely Low Resolution SAR Imagery To Support Floodplain Modelling: a Case Study Review [Elektronische Daten] [Giuliano Di Baldassarre, Guy Schumann, Luigia Brandimarte, Paul Bates] It is widely recognised that remote sensing can support flood monitoring, modelling and management. In particular, satellites carrying Synthetic Aperture Radar (SAR) sensors are valuable as radar wavelengths can penetrate cloud cover and are insensitive to daylight. However, given the strong inverse relationship between spatial resolution and revisit time, monitoring floods from space in near real time is currently only possible through low resolution (about 100m pixel size) SAR imagery. For instance, ENVISAT-ASAR (Advanced Synthetic Aperture Radar) in WSM (wide swath mode) revisit times are of the order of 3days and the data can be obtained within 24h at no (or low) cost. Hence, this type of space-borne data can be used for monitoring major floods on medium-to-large rivers. This paper aims to discuss the potential for, and uncertainties of, coarse resolution SAR imagery to monitor floods and support hydraulic modelling. The paper first describes the potential of globally and freely available space-borne data to support flood inundation modelling in near real time. Then, the uncertainty of SAR-derived flood extent maps is discussed and the need to move from deterministic binary maps (wet/dry) of flood extent to uncertain flood inundation maps is highlighted. Springer Science+Business Media B.V., 2011 Hydrology nationallicence Remote sensing nationallicence Flood monitoring nationallicence Inundation modelling nationallicence Floodplain mapping nationallicence Di Baldassarre Giuliano Department of Hydroinformatics and Knowledge Management, UNESCO-IHE, Delft, The Netherlands aut Schumann Guy School of Geographical Sciences, University of Bristol, Bristol, UK aut Brandimarte Luigia Department of Water Engineering, UNESCO-IHE, Delft, The Netherlands aut Bates Paul School of Geographical Sciences, University of Bristol, Bristol, UK aut Surveys in Geophysics Springer Netherlands 32/3(2011-05-01), 255-269 0169-3298 32:3<255 2011 32 10712 https://doi.org/10.1007/s10712-011-9111-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10712-011-9111-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Di Baldassarre Giuliano Department of Hydroinformatics and Knowledge Management, UNESCO-IHE, Delft, The Netherlands aut NATIONALLICENCE 700 1- Schumann Guy School of Geographical Sciences, University of Bristol, Bristol, UK aut NATIONALLICENCE 700 1- Brandimarte Luigia Department of Water Engineering, UNESCO-IHE, Delft, The Netherlands aut NATIONALLICENCE 700 1- Bates Paul School of Geographical Sciences, University of Bristol, Bristol, UK aut NATIONALLICENCE 773 0- Surveys in Geophysics Springer Netherlands 32/3(2011-05-01), 255-269 0169-3298 32:3<255 2011 32 10712 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer