A review of low-cost space-borne data for flood modelling: topography, flood extent and water level

被引:104
作者
Yan, Kun [1 ]
Di Baldassarre, Giuliano [2 ]
Solomatine, Dimitri P. [1 ,3 ]
Schumann, Guy J-P [4 ]
机构
[1] UNESCO IHE Inst Water Educ, Hydroinformat Chair Grp, NL-2611 AX Delft, Netherlands
[2] Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden
[3] Delft Univ Technol, Water Resources Sect, NL-2628 CN Delft, Netherlands
[4] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA
基金
美国国家航空航天局;
关键词
low-cost space-borne data; hydraulic modelling; SAR imagery; SRTM topography; radar altimetry; TOPEX/POSEIDON SATELLITE ALTIMETRY; DIGITAL ELEVATION MODELS; APERTURE RADAR IMAGES; REMOTE-SENSING DATA; SHUTTLE RADAR; INUNDATION MODELS; HYDRAULIC MODELS; RIVER DISCHARGE; SEQUENTIAL ASSIMILATION; DISTRIBUTED MODELS;
D O I
10.1002/hyp.10449
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
During the last two decades, remote sensing data have led to tremendous progress in advancing flood inundation modelling. In particular, low-cost space-borne data can be invaluable for large-scale flood studies in data-scarce areas. Various satellite products yield valuable information such as land surface elevation, flood extent and water level, which could potentially contribute to various flood studies. An increasing number of research studies have been dedicated to exploring those low-cost data towards building, calibration and evaluation, and remote-sensed information assimilation into hydraulic models. This paper aims at reviewing these recent scientific efforts on the integration of low-cost space-borne remote sensing data with flood modelling. Potentials and limitations of those data in flood modelling are discussed. This paper also introduces the future satellite missions and anticipates their likely impacts in flood modelling. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:3368 / 3387
页数:20
相关论文
共 142 条
  • [11] Bayesian updating of flood inundation likelihoods conditioned on flood extent data
    Bates, PD
    Horritt, MS
    Aronica, G
    Beven, K
    [J]. HYDROLOGICAL PROCESSES, 2004, 18 (17) : 3347 - 3370
  • [12] SRTM vegetation removal and hydrodynamic modeling accuracy
    Baugh, Calum A.
    Bates, Paul D.
    Schumann, Guy
    Trigg, Mark A.
    [J]. WATER RESOURCES RESEARCH, 2013, 49 (09) : 5276 - 5289
  • [13] THE FUTURE OF DISTRIBUTED MODELS - MODEL CALIBRATION AND UNCERTAINTY PREDICTION
    BEVEN, K
    BINLEY, A
    [J]. HYDROLOGICAL PROCESSES, 1992, 6 (03) : 279 - 298
  • [14] Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
    Beven, K
    Freer, J
    [J]. JOURNAL OF HYDROLOGY, 2001, 249 (1-4) : 11 - 29
  • [15] Large-scale coupled hydrologic and hydraulic modelling of the Ob river in Siberia
    Biancamaria, Sylvain
    Bates, Paul D.
    Boone, Aaron
    Mognard, Nelly M.
    [J]. JOURNAL OF HYDROLOGY, 2009, 379 (1-2) : 136 - 150
  • [16] Surface water dynamics in the Amazon Basin: Application of satellite radar altimetry
    Birkett, CM
    Mertes, LAK
    Dunne, T
    Costa, MH
    Jasinski, MJ
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2002, 107 (D20): : LBA26 - 1
  • [18] Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands
    Birkett, CM
    [J]. WATER RESOURCES RESEARCH, 1998, 34 (05) : 1223 - 1239
  • [19] Using satellite altimetry data to augment flow estimation techniques on the Mekong River
    Birkinshaw, S. J.
    O'Donnell, G. M.
    Moore, P.
    Kilsby, C. G.
    Fowler, H. J.
    Berry, P. A. M.
    [J]. HYDROLOGICAL PROCESSES, 2010, 24 (26) : 3811 - 3825
  • [20] Isla Hispaniola: A trans-boundary flood risk mitigation plan
    Brandimarte, Luigia
    Brath, Armando
    Castellarin, Attilio
    Di Baldassarre, Giuliano
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2009, 34 (4-5) : 209 - 218