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
  • [1] Airbus Defence & Space, 2014, AIRB DEF SPAC TERRAS
  • [2] Advances in pan-European flood hazard mapping
    Alfieri, Lorenzo
    Salamon, Peter
    Bianchi, Alessandra
    Neal, Jeffrey
    Bates, Paul
    Feyen, Luc
    [J]. HYDROLOGICAL PROCESSES, 2014, 28 (13) : 4067 - 4077
  • [3] Diffusion modeling of recessional flow on central Amazonian floodplains
    Alsdorf, D
    Dunne, T
    Melack, J
    Smith, L
    Hess, L
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (21) : 1 - 4
  • [4] Measuring surface water from space
    Alsdorf, Douglas E.
    Rodriguez, Ernesto
    Lettenmaier, Dennis P.
    [J]. REVIEWS OF GEOPHYSICS, 2007, 45 (02)
  • [5] Estimating the impact of satellite observations on the predictability of large-scale hydraulic models
    Andreadis, Konstantinos M.
    Schumann, Guy J-P.
    [J]. ADVANCES IN WATER RESOURCES, 2014, 73 : 44 - 54
  • [6] A simple global river bankfull width and depth database
    Andreadis, Konstantinos M.
    Schumann, Guy J. -P.
    Pavelsky, Tamlin
    [J]. WATER RESOURCES RESEARCH, 2013, 49 (10) : 7164 - 7168
  • [7] Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster-based hydrodynamics model
    Andreadis, Konstantinos M.
    Clark, Elizabeth A.
    Lettenmaier, Dennis P.
    Alsdorf, Douglas E.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (10)
  • [8] Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
    Aronica, G
    Bates, PD
    Horritt, MS
    [J]. HYDROLOGICAL PROCESSES, 2002, 16 (10) : 2001 - 2016
  • [9] Observing Global Surface Water Flood Dynamics
    Bates, Paul D.
    Neal, Jefferey C.
    Alsdorf, Douglas
    Schumann, Guy J-P
    [J]. SURVEYS IN GEOPHYSICS, 2014, 35 (03) : 839 - 852
  • [10] Integrating remote sensing data with flood inundation models: how far have we got?
    Bates, Paul D.
    [J]. HYDROLOGICAL PROCESSES, 2012, 26 (16) : 2515 - 2521