On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

被引:37
|
作者
Lopez, T. [1 ,2 ]
Al Bitar, A. [3 ]
Biancamaria, S. [4 ]
Guentner, A. [5 ,6 ]
Jaggi, A. [7 ]
机构
[1] Inst Rech Technol IRT St Exupery, Fdn STAE, GET, 14 Ave Edouard Belin, F-31400 Toulouse, France
[2] Int Space Sci Inst ISSI, Hallerstr 6, CH-3012 Bern, Switzerland
[3] Univ Toulouse, CNES, CESBIO, CNRS,INRAE,IRD,UPS, 13 Ave Colonel Roche, F-31400 Toulouse, France
[4] Univ Toulouse, CNES, LEGOS, CNRS,IRD,UPS, 14 Ave Edouard Belin, F-31400 Toulouse, France
[5] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, D-14473 Telegrafenberg, Germany
[6] Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany
[7] Univ Bern, Astron Inst, Sidlerstr 5, CH-3012 Bern, Switzerland
关键词
Floods; Droughts; Large scale; Terrestrial water storage; GRACE; SMOS; Satellite altimetry; SWOT; ZONE SOIL-MOISTURE; GRAVITY-FIELD SOLUTIONS; WATER STORAGE CHANGES; GLOBAL SURFACE-WATER; DISCHARGE ESTIMATION; HYDROLOGICAL MODEL; RIVER-BASIN; DATA ASSIMILATION; RADAR ALTIMETRY; EL-NINO;
D O I
10.1007/s10712-020-09618-0
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Hydrological extremes, in particular floods and droughts, impact all regions across planet Earth. They are mainly controlled by the temporal evolution of key hydrological variables like precipitation, evaporation, soil moisture, groundwater storage, surface water storage and discharge. Precise knowledge of the spatial and temporal evolution of these variables at the scale of river basins is essential to better understand and forecast floods and droughts. In this article, we present recent advances on the capability of Earth observation (EO) satellites to provide global monitoring of floods and droughts. The local scale monitoring of these events which is traditionally done using high-resolution optical or SAR (synthetic aperture radar) EO and in situ data will not be addressed. We discuss the applications of moderate- to low-spatial-resolution space-based observations, e.g., satellite gravimetry (GRACE and GRACE-FO), passive microwaves (i.e. SMOS) and satellite altimetry (i.e. the JASON series and the Copernicus Sentinel missions), with supporting examples. We examine the benefits and drawbacks of integrating these EO datasets to better monitor and understand the processes at work and eventually to help in early warning and management of flood and drought events. Their main advantage is their large monitoring scale that provides a "big picture" or synoptic view of the event that cannot be achieved with often sparse in situ measurements. Finally, we present upcoming and future EO missions related to this topic including the SWOT mission.
引用
收藏
页码:1461 / 1487
页数:27
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