Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences

Surface water storage (SWS), the amount of freshwater stored in rivers/wetlands/floodplains/lakes, and its variations are key components of the water cycle and land surface hydrology, with strong feedback and linkages with climate variability. They are also very important for water resources management. However, it is still very challenging to measure and to obtain accurate estimates of SWS variations for large river basins at adequate time/space sampling. Satellite observations offer great opportunities to measure SWS changes, and several methods have been developed combining multisource observations for different environments worldwide. With the upcoming launch in 2022 of the Surface Water and Ocean Topography (SWOT) satellite mission, which will provide, for the first time, direct estimates of SWS variations with an unprecedented spatial resolution (~100 m), it is timely to summarize the recent advances in the estimates of SWS from satellite observations and how they contribute to a better understanding of large-scale hydrological processes. Here, we review the scientific literature and present major results regarding the dynamic of surface freshwater in large rivers, floodplains, and wetlands. We show how recent efforts have helped to characterize the variations in SWS change across large river basins, including during extreme climatic events, leading to an overall better understanding of the continental water cycle. In the context of SWOT and forthcoming SWS estimates at the global scale, we further discuss new opportunities for hydrological and multidisciplinary sciences. We recommend that, in the near future, SWS should be considered as an essential water variable to ensure its long-term monitoring.

[2]  M. Flörke,et al.  Future long-term changes in global water resources driven by socio-economic and climatic changes , 2007 .

[3]  B. Sanders Evaluation of on-line DEMs for flood inundation modeling , 2007 .

[4]  Hahn Chul Jung,et al.  Absolute water storages in the Congo River floodplains from integration of InSAR and satellite radar altimetry , 2017 .

[5]  A. Al Bitar,et al.  Mapping Dynamic Water Fraction under the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness Temperatures , 2017 .

[6]  Hahn Chul Jung,et al.  Mapping wetland water depths over the central Congo Basin using PALSAR ScanSAR, Envisat altimetry, and MODIS VCF data , 2015 .

[7]  Christian Schwatke,et al.  A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry , 2018, Hydrology and Earth System Sciences.

[8]  John A. Richards,et al.  An explanation of enhanced radar backscattering from flooded forests , 1987 .

[9]  A. Cazenave,et al.  Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels , 2005 .

[10]  Mengistu M. Maja,et al.  The Impact of Population Growth on Natural Resources and Farmers’ Capacity to Adapt to Climate Change in Low-Income Countries , 2021, Earth Systems and Environment.

[11]  C. Shum,et al.  A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme. , 2018, The Science of the total environment.

[12]  Dennis P. Lettenmaier,et al.  Tracking Fresh Water from Space , 2003, Science.

[13]  Paul D. Bates,et al.  Adjustment of a spaceborne DEM for use in floodplain hydrodynamic modeling , 2012 .

[14]  F. Frappart,et al.  Influence of recent climatic events on the surface water storage of the Tonle Sap Lake. , 2018, The Science of the total environment.

[15]  Joan Masó-Pau,et al.  Towards integrated essential variables for sustainability , 2020, Int. J. Digit. Earth.

[16]  Yong Wang,et al.  Understanding the radar backscattering from flooded and nonflooded Amazonian forests: Results from canopy backscatter modeling☆ , 1995 .

[17]  Space Techniques Used to Measure Change in Terrestrial Waters , 2004 .

[18]  A. Hoekstra,et al.  Four billion people facing severe water scarcity , 2016, Science Advances.

[19]  A. Hoekstra,et al.  Global Monthly Water Scarcity: Blue Water Footprints versus Blue Water Availability , 2012, PloS one.

[20]  D. Alsdorf,et al.  Interferometric radar measurements of water level changes on the Amazon flood plain , 2000, Nature.

[21]  Javier Tomasella,et al.  Satellite-based estimates of groundwater storage variations in large drainage basins with extensive floodplains , 2011 .

[22]  Brian Brisco,et al.  Evaluation of RADARSAT-2 Acquisition Modes for Wetland Monitoring Applications , 2015 .

[23]  Animesh K. Gain,et al.  Assessment of Future Water Scarcity at Different Spatial and Temporal Scales of the Brahmaputra River Basin , 2014, Water Resources Management.

[24]  A. V. Vecchia,et al.  Global pattern of trends in streamflow and water availability in a changing climate , 2005, Nature.

[25]  J. Wolf,et al.  Saline intrusion in the Ganges-Brahmaputra-Meghna megadelta , 2021, Estuarine, Coastal and Shelf Science.

[26]  Alisa L. Gallant,et al.  The Challenges of Remote Monitoring of Wetlands , 2015, Remote. Sens..

[27]  F. Landerer,et al.  Emerging trends in global freshwater availability , 2018, Nature.

[28]  Catherine Prigent,et al.  Interannual variations of the terrestrial water storage in the Lower Ob' Basin from a multisatellite approach , 2009 .

[29]  V. Smakhtin,et al.  How much artificial surface storage is acceptable in a river basin and where should it be located: A review , 2020 .

[30]  T. Phillips,et al.  Compounding Impacts of Human-Induced Water Stress and Climate Change on Water Availability , 2017, Scientific Reports.

[31]  S. Hamilton,et al.  A Global Assessment of Inland Wetland Conservation Status , 2017 .

[32]  Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response , 2019, Hydrology and Earth System Sciences.

[33]  H. Douville,et al.  Global off-line evaluation of the ISBA-TRIP flood model , 2012, Climate Dynamics.

[34]  Sang-Hoon Hong,et al.  Wetland inSAR: A review of the technique and applications , 2015 .

[35]  Huilin Gao Satellite remote sensing of large lakes and reservoirs: from elevation and area to storage , 2015 .

[36]  Sang-Hoon Hong,et al.  Evaluation of the quad-polarimetric Radarsat-2 observations for the wetland InSAR application , 2011 .

[37]  Eric Rignot,et al.  Global sea-level budget 1993–present , 2018, Earth System Science Data.

[38]  Marc Macias-Fauria,et al.  Sensitivity of global terrestrial ecosystems to climate variability , 2016, Nature.

[39]  T. Stacke,et al.  Global terrestrial water storage and drought severity under climate change , 2021, Nature Climate Change.

[40]  Muddu Sekhar,et al.  Satellite-derived surface and sub-surface water storage in the Ganges–Brahmaputra River Basin , 2015 .

[41]  Kyle McDonald,et al.  Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data , 2015, Remote. Sens..

[42]  Andrew J. Plater,et al.  Book reviewSea-level change: Roger Revelle; Studies in Geophysics, National Research Council, National Academy Press, Washington, DC, 1990; xii + 246 pp.; USD 29.95, GBP 25.75; ISBN 0-309-04039 , 1992 .

[43]  John M. Melack,et al.  Seasonal water storage on the Amazon floodplain measured from satellites , 2010 .

[44]  Fabien Durand,et al.  Impact of Continental Freshwater Runoff on Coastal Sea Level , 2019, Surveys in Geophysics.

[45]  M. Jung,et al.  Understanding terrestrial water storage variations in northern latitudes across scales , 2017, Hydrology and Earth System Sciences.

[46]  R. Reedy,et al.  Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data , 2018, Proceedings of the National Academy of Sciences.

[47]  Zhong Lu,et al.  Interferometric synthetic aperture radar (InSAR) study of coastal wetlands over southeastern Louisiana , 2009 .

[48]  J. Crétaux,et al.  Lake Volume Monitoring from Space , 2016, Surveys in Geophysics.

[49]  Annette Eicker,et al.  Satellites provide the big picture , 2015, Science.

[50]  F. Aires,et al.  Variations of Surface and Subsurface Water Storage in the Lower Mekong Basin (Vietnam and Cambodia) from Multisatellite Observations , 2019, Water.

[51]  P. Ciais,et al.  Global carbon dioxide emissions from inland waters , 2013, Nature.

[52]  S. M. Bateni,et al.  Global Surface Temperature: A New Insight , 2021, Climate.

[53]  S. Calmant,et al.  Toward continental hydrologic–hydrodynamic modeling in South America , 2018, Hydrology and Earth System Sciences.

[54]  C. Prigent,et al.  Surface freshwater storage and dynamics in the Amazon basin during the 2005 exceptional drought , 2012 .

[55]  Nicolas Baghdadi,et al.  Evaluation of the Performances of Radar and Lidar Altimetry Missions for Water Level Retrievals in Mountainous Environment: The Case of the Swiss Lakes , 2021, Remote. Sens..

[56]  A. Cazenave,et al.  SOLS: A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data , 2011 .

[57]  D. Lettenmaier,et al.  The SWOT Mission and Its Capabilities for Land Hydrology , 2016, Surveys in Geophysics.

[58]  J. Pekel,et al.  High-resolution mapping of global surface water and its long-term changes , 2016, Nature.

[59]  Brian Brisco,et al.  Wetland Water Level Monitoring Using Interferometric Synthetic Aperture Radar (InSAR): A Review , 2018, Canadian Journal of Remote Sensing.

[60]  R. Bamler,et al.  Synthetic aperture radar interferometry , 1998 .

[61]  Petra Döll,et al.  Modelling Freshwater Resources at the Global Scale: Challenges and Prospects , 2016, Surveys in Geophysics.

[62]  W. Collischonn,et al.  Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models , 2020, Journal of Hydrology.

[63]  Thierry Toutin,et al.  ASTER DEMs for geomatic and geoscientific applications: a review , 2008 .

[64]  A. Mishra,et al.  A review of remote sensing applications for water security: Quantity, quality, and extremes , 2020 .

[65]  T. Gleeson,et al.  The global volume and distribution of modern groundwater , 2016 .

[66]  Fernando Niño,et al.  Monitoring Water Levels and Discharges Using Radar Altimetry in an Ungauged River Basin: The Case of the Ogooué , 2018, Remote. Sens..

[67]  S. Ricci,et al.  Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters , 2020, Hydrology and Earth System Sciences.

[68]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[69]  Stephen P. Good,et al.  Hydrologic connectivity constrains partitioning of global terrestrial water fluxes , 2015, Science.

[70]  R. Betts,et al.  Changes in Climate and Land Use Over the Amazon Region: Current and Future Variability and Trends , 2018, Front. Earth Sci..

[71]  R. Taylor,et al.  Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation , 2020 .

[72]  Laurence C. Smith,et al.  Amazon floodplain water level changes measured with interferometric SIR-C radar , 2001, IEEE Trans. Geosci. Remote. Sens..

[73]  Matthew Rodell,et al.  Groundwater Storage Changes: Present Status from GRACE Observations , 2016, Surveys in Geophysics.

[74]  S. Ricci,et al.  Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission , 2014 .

[75]  P. Bates,et al.  Large-scale coupled hydrologic and hydraulic modelling of the Ob river in Siberia , 2009 .

[76]  The global water resources and use model WaterGAP v2.2d: model description and evaluation , 2021 .

[77]  M. Coe,et al.  Simulating the surface waters of the Amazon River basin: impacts of new river geomorphic and flow parameterizations , 2008 .

[78]  J. Ryan,et al.  Human alteration of global surface water storage variability , 2021, Nature.

[79]  Catherine Prigent,et al.  Satellite-based estimates of surface water dynamics in the Congo River Basin , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[80]  S. Kanae,et al.  Model estimates of sea-level change due to anthropogenic impacts on terrestrial water storage , 2012 .

[81]  Joseph L. Awange,et al.  Characterization of Ethiopian mega hydrogeological regimes using GRACE, TRMM and GLDAS datasets , 2014 .

[82]  P. Bates,et al.  Re-assessing global water storage trends from GRACE time series , 2020 .

[83]  F. Ludwig,et al.  Global water resources affected by human interventions and climate change , 2013, Proceedings of the National Academy of Sciences.

[84]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[85]  Yoshihide Wada,et al.  Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation , 2020, Nature Communications.

[86]  J. Famiglietti,et al.  Satellite-based estimates of groundwater depletion in India , 2009, Nature.

[87]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[88]  Sang-Hoon Hong,et al.  Assessment of hydrologic connectivity in an ungauged wetland with InSAR observations , 2018 .

[89]  Yong Wang,et al.  Delineation of inundated area and vegetation along the Amazon floodplain with the SIR-C synthetic aperture radar , 1995, IEEE Trans. Geosci. Remote. Sens..

[90]  C. Sadoff,et al.  Coping with the curse of freshwater variability , 2014, Science.

[91]  Gregory Giuliani,et al.  Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes? , 2020, Data.

[92]  Ghassem R. Asrar,et al.  Challenges and Opportunities in Water Cycle Research: WCRP Contributions , 2014, Surveys in Geophysics.

[93]  E. O’Connell,et al.  Towards Adaptation of Water Resource Systems to Climatic and Socio-Economic Change , 2017, Water Resources Management.

[94]  Binh Pham-Duc,et al.  The Lake Chad hydrology under current climate change , 2020, Scientific Reports.

[95]  A. Islam,et al.  Recent salinity intrusion in the Bengal delta: Observations and possible causes , 2020, Continental Shelf Research.

[96]  Y. He,et al.  Simulating hydrologic and hydraulic processes throughout the Amazon River Basin , 2009 .

[97]  Frédéric Frappart,et al.  Hydrological Applications of Satellite AltimetryRivers, Lakes, Man-Made Reservoirs, Inundated Areas , 2017 .

[98]  Christian Schwatke,et al.  Volume Variations of Small Inland Water Bodies from a Combination of Satellite Altimetry and Optical Imagery , 2020, Remote. Sens..

[99]  T. Dixon,et al.  Space-Based Detection of Wetlands' Surface Water Level Changes from L-Band SAR Interferometry , 2008 .

[100]  D. Gates,et al.  On the fluctuations in levels of closed lakes , 1977 .

[101]  Thomas S. Bianchi,et al.  Where Carbon Goes When Water Flows: Carbon Cycling across the Aquatic Continuum , 2017 .

[102]  Frédéric Frappart,et al.  Evolution of the Performances of Radar Altimetry Missions from ERS-2 to Sentinel-3A over the Inner Niger Delta , 2018, Remote. Sens..

[103]  A. Islam,et al.  Water level changes, subsidence, and sea level rise in the Ganges–Brahmaputra–Meghna delta , 2020, Proceedings of the National Academy of Sciences.

[104]  Frédéric Frappart,et al.  Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review , 2018, Remote. Sens..

[105]  R. Koster,et al.  Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe , 2012 .

[106]  J. Famiglietti The global groundwater crisis , 2014 .

[107]  C. K. Shum,et al.  Characterization of terrestrial water dynamics in the Congo Basin using GRACE and satellite radar altimetry , 2011 .

[108]  S. Carpenter,et al.  Planetary boundaries: Guiding human development on a changing planet , 2015, Science.

[109]  P. Döll,et al.  Will groundwater ease freshwater stress under climate change? , 2009 .

[110]  Yann Kerr,et al.  Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission , 2001, IEEE Trans. Geosci. Remote. Sens..

[111]  Geoffrey M. Henebry,et al.  Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes: implications for flooding and drought , 2014 .

[112]  S. Calmant,et al.  Large‐scale hydrologic and hydrodynamic modeling of the Amazon River basin , 2013 .

[113]  J. Worden,et al.  Earth's water reservoirs in a changing climate , 2020, Proceedings of the Royal Society A.

[114]  Aditya Sood,et al.  Global hydrological models: a review , 2015 .

[115]  Frédéric Frappart,et al.  Quantification of surface water volume changes in the Mackenzie Delta using satellite multi-mission data , 2017 .

[116]  J. Tomasella,et al.  The spatio-temporal variability of groundwater storage in the Amazon River Basin , 2019, Advances in Water Resources.

[117]  Moustafa T. Chahine,et al.  The hydrological cycle and its influence on climate , 1992, Nature.

[118]  Y. Wada,et al.  Groundwater depletion causing reduction of baseflow triggering Ganges river summer drying , 2018, Scientific Reports.

[119]  J. Fasullo,et al.  Origin of interannual variability in global mean sea level , 2020, Proceedings of the National Academy of Sciences.

[120]  Carsten Jürgens,et al.  The modified normalized difference vegetation index (mNDVI) a new index to determine frost damages in agriculture based on Landsat TM data , 1997 .

[121]  George P. Petropoulos,et al.  Surface soil moisture retrievals from remote sensing: Current status, products & future trends , 2015 .

[122]  C. Westbrook,et al.  Simplified Volume-Area-Depth Method for Estimating Water Storage of Prairie Potholes , 2010, Wetlands.

[123]  Hahn Chul Jung,et al.  Estimation of Water Level Changes of Large-Scale Amazon Wetlands Using ALOS2 ScanSAR Differential Interferometry , 2018, Remote. Sens..

[124]  Filipe Aires,et al.  Toward a High-Resolution Monitoring of Continental Surface Water Extent and Dynamics, at Global Scale: from GIEMS (Global Inundation Extent from Multi-Satellites) to SWOT (Surface Water Ocean Topography) , 2016, Surveys in Geophysics.

[125]  Shin‐Chan Han,et al.  The role of groundwater in the Amazon water cycle: 3. Influence on terrestrial water storage computations and comparison with GRACE , 2013 .

[126]  A. Magurran,et al.  Scientists’ warning to humanity on the freshwater biodiversity crisis , 2020, Ambio.

[127]  F. Aires,et al.  Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations , 2017 .

[128]  L. Hess,et al.  Outgassing from Amazonian rivers and wetlands as a large tropical source of atmospheric CO2 , 2002, Nature.

[129]  Yoann Malbéteau,et al.  Surface Freshwater Storage Variations in the Orinoco Floodplains Using Multi-Satellite Observations , 2014, Remote. Sens..

[130]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[131]  T. Sakamoto,et al.  Detecting temporal changes in the extent of annual flooding within the cambodia and the vietnamese mekong delta from MODIS time-series imagery , 2007 .

[132]  C. Barbosa,et al.  Dual-season mapping of wetland inundation and vegetation for the central Amazon basin , 2003 .

[133]  D. Lettenmaier Observations of the Global Water Cycle – Global Monitoring Networks , 2006 .

[134]  C. Barbosa,et al.  High-resolution mapping of floodplain topography from space: A case study in the Amazon , 2020 .

[135]  Zhong Lu,et al.  Multiple Baseline Radar Interferometry Applied to Coastal Land Cover Classification and Change Analyses , 2006 .