Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-3037-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3037-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jul 2019
Research article |
| 17 Jul 2019
| 17 Jul 2019
A new dense 18-year time series of surface water fraction estimates from MODIS for the Mediterranean region
Linlin Li
CORRESPONDING AUTHOR
Faculty of Geo-information Science and Earth Observation, University
of Twente, Enschede, the Netherlands
Andrew Skidmore
Faculty of Geo-information Science and Earth Observation, University
of Twente, Enschede, the Netherlands
Department of Environmental Sciences, Macquarie University, NSW,
Australia
Anton Vrieling
Faculty of Geo-information Science and Earth Observation, University
of Twente, Enschede, the Netherlands
Tiejun Wang
Faculty of Geo-information Science and Earth Observation, University
of Twente, Enschede, the Netherlands
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P. O. Mc’Okeyo, F. Nex, C. Persello, and A. Vrieling
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 309–316, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, 2020
N. Amiri, M. Heurich, P. Krzystek, and A. K. Skidmore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 31–34, https://doi.org/10.5194/isprs-archives-XLII-3-31-2018, https://doi.org/10.5194/isprs-archives-XLII-3-31-2018, 2018
N. Amiri, P. Polewski, W. Yao, P. Krzystek, and A. K. Skidmore
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 35–42, https://doi.org/10.5194/isprs-annals-IV-2-W4-35-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-35-2017, 2017
Elnaz Neinavaz, Andrew K. Skidmore, Roshanak Darvishzadeh, and Thomas A. Groen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 99–105, https://doi.org/10.5194/isprs-archives-XLI-B7-99-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-99-2016, 2016
Related subject area
Subject: Global hydrology | Techniques and Approaches: Remote Sensing and GIS
Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective
Global assessment of subnational drought impact based on the Geocoded Disasters dataset and land reanalysis
Scaling methods of leakage correction in GRACE mass change estimates revisited for the complex hydro-climatic setting of the Indus Basin
Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale
Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta
Soil moisture retrieval at 1-km resolution making a synergistic use of Sentinel-1/2/3 data
High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study
The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods
Global component analysis of errors in three satellite-only global precipitation estimates
Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit
Intercomparison of freshwater fluxes over ocean and investigations into water budget closure
Widespread decline in terrestrial water storage and its link to teleconnections across Asia and eastern Europe
Assimilation of vegetation optical depth retrievals from passive microwave radiometry
Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins
Global partitioning of runoff generation mechanisms using remote sensing data
Land–atmosphere interactions in the tropics – a review
Global-scale human pressure evolution imprints on sustainability of river systems
Using GRACE in a streamflow recession to determine drainable water storage in the Mississippi River basin
Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response
Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin
Global downscaling of remotely sensed soil moisture using neural networks
Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements
Estimating time-dependent vegetation biases in the SMAP soil moisture product
Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra Delta
Controls on surface soil drying rates observed by SMAP and simulated by the Noah land surface model
Quantification of surface water volume changes in the Mackenzie Delta using satellite multi-mission data
Microwave implementation of two-source energy balance approach for estimating evapotranspiration
A global approach to estimate irrigated areas – a comparison between different data and statistics
The future of Earth observation in hydrology
Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations
MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data
Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data
Evaluating the strength of the land–atmosphere moisture feedback in Earth system models using satellite observations
Cloud tolerance of remote-sensing technologies to measure land surface temperature
Dynamic changes in terrestrial net primary production and their effects on evapotranspiration
Assessing changes in urban flood vulnerability through mapping land use from historical information
SACRA – a method for the estimation of global high-resolution crop calendars from a satellite-sensed NDVI
A global data set of the extent of irrigated land from 1900 to 2005
Evaluation of the satellite-based Global Flood Detection System for measuring river discharge: influence of local factors
Spatial patterns in timing of the diurnal temperature cycle
Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies
Global multi-scale segmentation of continental and coastal waters from the watersheds to the continental margins
Automated global water mapping based on wide-swath orbital synthetic-aperture radar
An algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: HydroAlgo
Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass
Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction
A global analysis of soil moisture derived from satellite observations and a land surface model
Assimilation of ASCAT near-surface soil moisture into the SIM hydrological model over France
The sensitivity of land emissivity estimates from AMSR-E at C and X bands to surface properties
Jinghua Xiong, Shenglian Guo, Abhishek, Jie Chen, and Jiabo Yin
Hydrol. Earth Syst. Sci., 26, 6457–6476, https://doi.org/10.5194/hess-26-6457-2022, https://doi.org/10.5194/hess-26-6457-2022, 2022
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Although the "dry gets drier, and wet gets wetter (DDWW)" paradigm is prevalent in summarizing wetting and drying trends, we show that only 11.01 %–40.84 % of the global land confirms and 10.21 %–35.43 % contradicts the paradigm during 1985–2014 from a terrestrial water storage change perspective. Similar proportions that intensify with the increasing emission scenarios persist until the end of the 21st century. Findings benefit understanding of global hydrological responses to climate change.
Yuya Kageyama and Yohei Sawada
Hydrol. Earth Syst. Sci., 26, 4707–4720, https://doi.org/10.5194/hess-26-4707-2022, https://doi.org/10.5194/hess-26-4707-2022, 2022
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This study explores the link between hydrometeorological droughts and their socioeconomic impact at a subnational scale based on the newly developed disaster dataset with subnational location information. Hydrometeorological drought-prone areas were generally consistent with socioeconomic drought-prone areas in the disaster dataset. Our analysis clarifies the importance of the use of subnational disaster information.
Vasaw Tripathi, Andreas Groh, Martin Horwath, and Raaj Ramsankaran
Hydrol. Earth Syst. Sci., 26, 4515–4535, https://doi.org/10.5194/hess-26-4515-2022, https://doi.org/10.5194/hess-26-4515-2022, 2022
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GRACE/GRACE-FO provided global observations of water storage change since 2002. Scaling is a common approach to compensate for the spatial filtering inherent to the results. However, for complex hydrological basins, the compatibility of scaling with the characteristics of regional hydrology has been rarely assessed. We assess traditional scaling approaches and a new scaling approach for the Indus Basin. Our results will help users with regional focus understand implications of scaling choices.
Jiawei Hou, Albert I. J. M. van Dijk, Hylke E. Beck, Luigi J. Renzullo, and Yoshihide Wada
Hydrol. Earth Syst. Sci., 26, 3785–3803, https://doi.org/10.5194/hess-26-3785-2022, https://doi.org/10.5194/hess-26-3785-2022, 2022
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We used satellite imagery to measure monthly reservoir water volumes for 6695 reservoirs worldwide for 1984–2015. We investigated how changing precipitation, streamflow, evaporation, and human activity affected reservoir water storage. Almost half of the reservoirs showed significant increasing or decreasing trends over the past three decades. These changes are caused, first and foremost, by changes in precipitation rather than by changes in net evaporation or dam release patterns.
Robin van der Schalie, Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski, and Richard de Jeu
Hydrol. Earth Syst. Sci., 26, 3611–3627, https://doi.org/10.5194/hess-26-3611-2022, https://doi.org/10.5194/hess-26-3611-2022, 2022
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Climate data records of surface soil moisture, vegetation optical depth, and land surface temperature can be derived from passive microwave observations. The ability of these datasets to properly detect anomalies and extremes is very valuable in climate research and can especially help to improve our insight in complex regions where the current climate reanalysis datasets reach their limitations. Here, we present a case study over the Okavango Delta, where we focus on inter-annual variability.
Remi Madelon, Nemesio J. Rodríguez-Fernández, Hassan Bazzi, Nicolas Baghdadi, Clement Albergel, Wouter Dorigo, and Mehrez Zribi
EGUsphere, https://doi.org/10.5194/egusphere-2022-558, https://doi.org/10.5194/egusphere-2022-558, 2022
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This study presents an approach to estimate soil moisture (SM) at a spatial scale of 1-km using the Sentinel 2 and 3 satellites in addition to Sentinel 1. The output data were compared to other data sets over six regions in Europe, Northern Africa, Australia and North America showing a good agreement. In comparison to in situ measurements, the new data set shows better performance than other high-resolution data sets. It is a promising approach to compute high resolution SM maps at global scale.
Paolo Filippucci, Luca Brocca, Raphael Quast, Luca Ciabatta, Carla Saltalippi, Wolfgang Wagner, and Angelica Tarpanelli
Hydrol. Earth Syst. Sci., 26, 2481–2497, https://doi.org/10.5194/hess-26-2481-2022, https://doi.org/10.5194/hess-26-2481-2022, 2022
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A high-resolution (1 km) rainfall product with 10–30 d temporal resolution was obtained starting from SM data from Sentinel-1. Good performances are achieved using observed data (gauge and radar) over the Po River Valley, Italy, as a benchmark. The comparison with a product characterized by lower spatial resolution (25 km) highlights areas where the high spatial resolution of Sentinel-1 has great benefits. Possible applications include water management, agriculture and index-based insurances.
Zhaofei Liu
Hydrol. Earth Syst. Sci., 25, 4417–4433, https://doi.org/10.5194/hess-25-4417-2021, https://doi.org/10.5194/hess-25-4417-2021, 2021
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Instantaneous evapotranspiration (ET), which is detected by the remote sensing technique, needs to be upscaled to daily values in order to practical applications. The accuracy of seven upscaling methods is evaluated by using global observations. The sine function and the evaporative fraction method using extraterrestrial solar irradiance are recommended. Although every upscaling scheme has high accuracy at most sites, it is less accurate at tropical rainforest and tropical monsoon sites.
Hanqing Chen, Bin Yong, Pierre-Emmanuel Kirstetter, Leyang Wang, and Yang Hong
Hydrol. Earth Syst. Sci., 25, 3087–3104, https://doi.org/10.5194/hess-25-3087-2021, https://doi.org/10.5194/hess-25-3087-2021, 2021
Alka Singh, John Thomas Reager, and Ali Behrangi
Hydrol. Earth Syst. Sci., 25, 511–526, https://doi.org/10.5194/hess-25-511-2021, https://doi.org/10.5194/hess-25-511-2021, 2021
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The study demonstrates the utility of Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage anomalies (TWSAs) for obtaining statistics of hydrological droughts, i.e., recovery periods and required precipitation in different precipitation scenarios. The findings of this study are that the GRACE-based drought index is valid for estimating the required precipitation for drought recovery, and the period of drought recovery depends on the intensity of the precipitation.
Marloes Gutenstein, Karsten Fennig, Marc Schröder, Tim Trent, Stephan Bakan, J. Brent Roberts, and Franklin R. Robertson
Hydrol. Earth Syst. Sci., 25, 121–146, https://doi.org/10.5194/hess-25-121-2021, https://doi.org/10.5194/hess-25-121-2021, 2021
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The net exchange of water between the surface and atmosphere is mainly determined by the freshwater flux: the difference between evaporation (E) and precipitation (P), or E−P. Although there is consensus among modelers that with a warming climate E−P will increase, evidence from satellite data is still not conclusive, mainly due to sensor calibration issues. We here investigate the degree of correspondence among six recent
satellite-based climate data records and ERA5 reanalysis E−P data.
Xianfeng Liu, Xiaoming Feng, Philippe Ciais, and Bojie Fu
Hydrol. Earth Syst. Sci., 24, 3663–3676, https://doi.org/10.5194/hess-24-3663-2020, https://doi.org/10.5194/hess-24-3663-2020, 2020
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Freshwater availability is crucial for sustainable development across the Asian and eastern European regions. Our results indicate widespread decline in terrestrial water storage (TWS) over the region during 2002–2017, primarily due to the intensive over-extraction of groundwater and warmth-induced surface water loss. The findings provide insights into changes in TWS and its components over the Asian and eastern European regions, where there is growing demand for food grains and water supplies.
Sujay V. Kumar, Thomas R. Holmes, Rajat Bindlish, Richard de Jeu, and Christa Peters-Lidard
Hydrol. Earth Syst. Sci., 24, 3431–3450, https://doi.org/10.5194/hess-24-3431-2020, https://doi.org/10.5194/hess-24-3431-2020, 2020
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Vegetation optical depth (VOD) is a byproduct of the soil moisture retrieval from passive microwave instruments. This study demonstrates that VOD information can be utilized for improving land surface water budget and carbon conditions through data assimilation.
Victor Pellet, Filipe Aires, Fabrice Papa, Simon Munier, and Bertrand Decharme
Hydrol. Earth Syst. Sci., 24, 3033–3055, https://doi.org/10.5194/hess-24-3033-2020, https://doi.org/10.5194/hess-24-3033-2020, 2020
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The water mass variation at and below the land surface is a major component of the water cycle that was first estimated using GRACE observations (2002–2017). Our analysis shows the advantages of the use of satellite observation for precipitation and evapotranspiration along with river discharge measurement to perform an indirect and coherent reconstruction of this water component estimate over longer time periods.
Joseph T. D. Lucey, John T. Reager, and Sonya R. Lopez
Hydrol. Earth Syst. Sci., 24, 1415–1427, https://doi.org/10.5194/hess-24-1415-2020, https://doi.org/10.5194/hess-24-1415-2020, 2020
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This work relates total water storage (TWS) and rainfall to surface water inundation (SWI) using NASA satellite data. We determine whether TWS and/or rainfall control global SWI developments. Regression methods and cross-correlations were used to relate the measurements and correct for time differences among peaks. Results show TWS and rainfall control most global SWI developments. To our knowledge, this is the first global study on SWI controls and validates previous findings.
Pierre Gentine, Adam Massmann, Benjamin R. Lintner, Sayed Hamed Alemohammad, Rong Fu, Julia K. Green, Daniel Kennedy, and Jordi Vilà-Guerau de Arellano
Hydrol. Earth Syst. Sci., 23, 4171–4197, https://doi.org/10.5194/hess-23-4171-2019, https://doi.org/10.5194/hess-23-4171-2019, 2019
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Land–atmosphere interactions are key for the exchange of water, energy, and carbon dioxide, especially in the tropics. We here review some of the recent findings on land–atmosphere interactions in the tropics and where we see potential challenges and paths forward.
Serena Ceola, Francesco Laio, and Alberto Montanari
Hydrol. Earth Syst. Sci., 23, 3933–3944, https://doi.org/10.5194/hess-23-3933-2019, https://doi.org/10.5194/hess-23-3933-2019, 2019
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A simple and effective index for the quantitative estimation of the evolution of human pressure on rivers at global scale is proposed. This index, based on nightlights and river discharge data, shows a significant increase from 1992 to 2013 worldwide. The most notable changes are found in river basins across Africa and Asia, where human pressure on rivers is growing markedly. This index identifies priority areas that can be targeted for the implementation of mitigation strategies and plans.
Heloisa Ehalt Macedo, Ralph Edward Beighley, Cédric H. David, and John T. Reager
Hydrol. Earth Syst. Sci., 23, 3269–3277, https://doi.org/10.5194/hess-23-3269-2019, https://doi.org/10.5194/hess-23-3269-2019, 2019
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The water stored under the surface is very important for defining the amount of water available for human and environmental applications; however, it is still a challenge to obtain such measurements. NASA's GRACE satellites provide information on total terrestrial water storage based on observations of gravity changes. Here, we relate GRACE data to streamflow measurements, providing estimations of the fraction of baseflow and total drainable storage for the Mississippi River basin.
Siyuan Tian, Luigi J. Renzullo, Albert I. J. M. van Dijk, Paul Tregoning, and Jeffrey P. Walker
Hydrol. Earth Syst. Sci., 23, 1067–1081, https://doi.org/10.5194/hess-23-1067-2019, https://doi.org/10.5194/hess-23-1067-2019, 2019
Jiawei Hou, Albert I. J. M. van Dijk, Luigi J. Renzullo, and Robert A. Vertessy
Hydrol. Earth Syst. Sci., 22, 6435–6448, https://doi.org/10.5194/hess-22-6435-2018, https://doi.org/10.5194/hess-22-6435-2018, 2018
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Satellite-based river gauging can be constructed based on remote-sensing-derived surface water extent and modelled discharge, and used to estimate river discharges with satellite observations only. This provides opportunities for monitoring river discharge in the absence of a real-time hydrological model or gauging stations.
Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, and Pierre Gentine
Hydrol. Earth Syst. Sci., 22, 5341–5356, https://doi.org/10.5194/hess-22-5341-2018, https://doi.org/10.5194/hess-22-5341-2018, 2018
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A new machine learning algorithm is developed to downscale satellite-based soil moisture estimates from their native spatial scale of 9 km to 2.25 km.
Albert I. J. M. van Dijk, Jaap Schellekens, Marta Yebra, Hylke E. Beck, Luigi J. Renzullo, Albrecht Weerts, and Gennadii Donchyts
Hydrol. Earth Syst. Sci., 22, 4959–4980, https://doi.org/10.5194/hess-22-4959-2018, https://doi.org/10.5194/hess-22-4959-2018, 2018
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Evaporation from wetlands, lakes and irrigation areas needs to be measured to understand water scarcity. So far, this has only been possible for small regions. Here, we develop a solution that can be applied at a very high resolution globally by making use of satellite observations. Our results show that 16% of global water resources evaporate before reaching the ocean, mostly from surface water. Irrigation water use is less than 1% globally but is a very large water user in several dry basins.
Carlos Jiménez, Brecht Martens, Diego M. Miralles, Joshua B. Fisher, Hylke E. Beck, and Diego Fernández-Prieto
Hydrol. Earth Syst. Sci., 22, 4513–4533, https://doi.org/10.5194/hess-22-4513-2018, https://doi.org/10.5194/hess-22-4513-2018, 2018
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Observing the amount of water evaporated in nature is not easy, and we need to combine accurate local measurements with estimates from satellites, more uncertain but covering larger areas. This is the main topic of our paper, in which local observations are compared with global land evaporation estimates, followed by a weighting of the global observations based on this comparison to attempt derive a more accurate evaporation product.
Simon Zwieback, Andreas Colliander, Michael H. Cosh, José Martínez-Fernández, Heather McNairn, Patrick J. Starks, Marc Thibeault, and Aaron Berg
Hydrol. Earth Syst. Sci., 22, 4473–4489, https://doi.org/10.5194/hess-22-4473-2018, https://doi.org/10.5194/hess-22-4473-2018, 2018
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Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.
Ben T. Gouweleeuw, Andreas Kvas, Christian Gruber, Animesh K. Gain, Thorsten Mayer-Gürr, Frank Flechtner, and Andreas Güntner
Hydrol. Earth Syst. Sci., 22, 2867–2880, https://doi.org/10.5194/hess-22-2867-2018, https://doi.org/10.5194/hess-22-2867-2018, 2018
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Daily GRACE gravity field solutions have been evaluated against daily river runoff data for major flood events in the Ganges–Brahmaputra Delta in 2004 and 2007. Compared to the monthly gravity field solutions, the trends over periods of a few days in the daily gravity field solutions are able to reflect temporal variations in river runoff during major flood events. This implies that daily gravity field solutions released in near-real time may support flood monitoring for large events.
Peter J. Shellito, Eric E. Small, and Ben Livneh
Hydrol. Earth Syst. Sci., 22, 1649–1663, https://doi.org/10.5194/hess-22-1649-2018, https://doi.org/10.5194/hess-22-1649-2018, 2018
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After soil gets wet, much of the surface moisture evaporates directly back into the air. Recent satellite data show that this process is enhanced when there is more water in the soil, less humidity in the air, and less vegetation covering the ground. A widely used model shows similar effects of soil water and humidity, but it largely misses the role of vegetation and assigns outsized importance to soil type. These results are encouraging evidence that the satellite can be used to improve models.
Cassandra Normandin, Frédéric Frappart, Bertrand Lubac, Simon Bélanger, Vincent Marieu, Fabien Blarel, Arthur Robinet, and Léa Guiastrennec-Faugas
Hydrol. Earth Syst. Sci., 22, 1543–1561, https://doi.org/10.5194/hess-22-1543-2018, https://doi.org/10.5194/hess-22-1543-2018, 2018
Thomas R. H. Holmes, Christopher R. Hain, Wade T. Crow, Martha C. Anderson, and William P. Kustas
Hydrol. Earth Syst. Sci., 22, 1351–1369, https://doi.org/10.5194/hess-22-1351-2018, https://doi.org/10.5194/hess-22-1351-2018, 2018
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In an effort to apply cloud-tolerant microwave data to satellite-based monitoring of evapotranspiration (ET), this study reports on an experiment where microwave-based land surface temperature is used as the key diagnostic input to a two-source energy balance method for the estimation of ET. Comparisons of this microwave ET with the conventional thermal infrared estimates show widespread agreement in spatial and temporal patterns from seasonal to inter-annual timescales over Africa and Europe.
Jonas Meier, Florian Zabel, and Wolfram Mauser
Hydrol. Earth Syst. Sci., 22, 1119–1133, https://doi.org/10.5194/hess-22-1119-2018, https://doi.org/10.5194/hess-22-1119-2018, 2018
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The following study extends existing irrigation maps based on official reports. The main idea was to extend the reported irrigated areas using agricultural suitability data and compare them with remote sensing information about plant conditions. The analysis indicates an increase in irrigated land by 18 % compared to the reported statistics. The additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated.
Matthew F. McCabe, Matthew Rodell, Douglas E. Alsdorf, Diego G. Miralles, Remko Uijlenhoet, Wolfgang Wagner, Arko Lucieer, Rasmus Houborg, Niko E. C. Verhoest, Trenton E. Franz, Jiancheng Shi, Huilin Gao, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017, https://doi.org/10.5194/hess-21-3879-2017, 2017
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We examine the opportunities and challenges that technological advances in Earth observation will present to the hydrological community. From advanced space-based sensors to unmanned aerial vehicles and ground-based distributed networks, these emergent systems are set to revolutionize our understanding and interpretation of hydrological and related processes.
Liangjing Zhang, Henryk Dobslaw, Tobias Stacke, Andreas Güntner, Robert Dill, and Maik Thomas
Hydrol. Earth Syst. Sci., 21, 821–837, https://doi.org/10.5194/hess-21-821-2017, https://doi.org/10.5194/hess-21-821-2017, 2017
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Global numerical models perform differently, as has been found in some model intercomparison studies, which mainly focused on components like evapotranspiration, soil moisture or runoff. We have applied terrestrial water storage that is estimated from a GRACE-based state-of-art post-processing method to validate four global numerical models and try to identify the advantages and deficiencies of a certain model. GRACE-based TWS demonstrates its additional benefits to improve the models in future.
Hylke E. Beck, Albert I. J. M. van Dijk, Vincenzo Levizzani, Jaap Schellekens, Diego G. Miralles, Brecht Martens, and Ad de Roo
Hydrol. Earth Syst. Sci., 21, 589–615, https://doi.org/10.5194/hess-21-589-2017, https://doi.org/10.5194/hess-21-589-2017, 2017
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MSWEP (Multi-Source Weighted-Ensemble Precipitation) is a new global terrestrial precipitation dataset with a high 3-hourly temporal and 0.25° spatial resolution. The dataset is unique in that it takes advantage of a wide range of data sources, including gauge, satellite, and reanalysis data, to obtain the best possible precipitation estimates at global scale. The dataset outperforms existing gauge-adjusted precipitation datasets.
Oliver López, Rasmus Houborg, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 21, 323–343, https://doi.org/10.5194/hess-21-323-2017, https://doi.org/10.5194/hess-21-323-2017, 2017
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The study evaluated the spatial and temporal consistency of satellite-based hydrological products based on the water budget equation, including three global evaporation products. The products were spatially matched using spherical harmonics analysis. The results highlighted the difficulty in obtaining agreement between independent satellite products, even over regions with simple water budgets. However, imposing a time lag on water storage data improved results considerably.
Paul A. Levine, James T. Randerson, Sean C. Swenson, and David M. Lawrence
Hydrol. Earth Syst. Sci., 20, 4837–4856, https://doi.org/10.5194/hess-20-4837-2016, https://doi.org/10.5194/hess-20-4837-2016, 2016
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We demonstrate a new approach to assess the strength of feedbacks resulting from land–atmosphere coupling on decadal timescales. Our approach was tailored to enable evaluation of Earth system models (ESMs) using data from Earth observation satellites that measure terrestrial water storage anomalies and relevant atmospheric variables. Our results are consistent with previous work demonstrating that ESMs may be overestimating the strength of land surface feedbacks compared with observations.
Thomas R. H. Holmes, Christopher R. Hain, Martha C. Anderson, and Wade T. Crow
Hydrol. Earth Syst. Sci., 20, 3263–3275, https://doi.org/10.5194/hess-20-3263-2016, https://doi.org/10.5194/hess-20-3263-2016, 2016
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We test the cloud tolerance of two technologies to estimate land surface temperature (LST) from space: microwave (MW) and thermal infrared (TIR). Although TIR has slightly lower errors than MW with ground data under clear-sky conditions, it suffers increasing negative bias as cloud cover increases. In contrast, we find no direct impact of clouds on the accuracy and bias of MW-LST. MW-LST can therefore be used to improve TIR cloud screening and increase sampling in clouded regions.
Zhi Li, Yaning Chen, Yang Wang, and Gonghuan Fang
Hydrol. Earth Syst. Sci., 20, 2169–2178, https://doi.org/10.5194/hess-20-2169-2016, https://doi.org/10.5194/hess-20-2169-2016, 2016
Short summary
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Global net primary production (NPP) slightly increased in 2000–2014. More than 64 % of vegetated land in the Northern Hemisphere (NH) showed increased NPP, while 60.3 % in Southern Hemisphere (SH) showed a decreasing trend. Vegetation greening and climate change promote rises of global evapotranspiration (ET). The increased rate of ET in the NH is faster than that in the SH. Meanwhile, global warming and vegetation greening accelerate evaporation in soil moisture. Continuation of these trends will likely exacerbate the risk of ecological drought.
M. Boudou, B. Danière, and M. Lang
Hydrol. Earth Syst. Sci., 20, 161–173, https://doi.org/10.5194/hess-20-161-2016, https://doi.org/10.5194/hess-20-161-2016, 2016
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This paper presents an appraisal of flood vulnerability of two French cities, Besançon and Moissac, which have been largely impacted by two ancient major floods (resp. in January 1910 and March 1930). An analysis of historical sources allows the mapping of land use and occupation within the flood extent of the two historical floods, both in past and present contexts. It gives an insight into the complexity of flood risk evolution, at a local scale.
S. Kotsuki and K. Tanaka
Hydrol. Earth Syst. Sci., 19, 4441–4461, https://doi.org/10.5194/hess-19-4441-2015, https://doi.org/10.5194/hess-19-4441-2015, 2015
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This study aims to develop a new global data set of a satellite-derived crop calendar (SACRA) and to reveal its advantages and disadvantages compared to other global products. The cultivation period of SACRA is identified from the time series of NDVI; therefore, SACRA considers current effects of human decisions and natural disasters. The difference between the estimated sowing dates and other existing products is less than 2 months (< 62 days) in most areas.
S. Siebert, M. Kummu, M. Porkka, P. Döll, N. Ramankutty, and B. R. Scanlon
Hydrol. Earth Syst. Sci., 19, 1521–1545, https://doi.org/10.5194/hess-19-1521-2015, https://doi.org/10.5194/hess-19-1521-2015, 2015
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We developed the historical irrigation data set (HID) depicting the spatio-temporal development of the area equipped for irrigation (AEI) between 1900 and 2005 at 5arcmin resolution.
The HID reflects very well the spatial patterns of irrigated land as shown on two historical maps for 1910 and 1960.
Global AEI increased from 63 million ha (Mha) in 1900 to 111 Mha in 1950 and 306 Mha in 2005. Mean aridity on irrigated land increased and mean natural river discharge decreased from 1900 to 1950.
B. Revilla-Romero, J. Thielen, P. Salamon, T. De Groeve, and G. R. Brakenridge
Hydrol. Earth Syst. Sci., 18, 4467–4484, https://doi.org/10.5194/hess-18-4467-2014, https://doi.org/10.5194/hess-18-4467-2014, 2014
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One of the main challenges in global hydrological modelling is the limited availability of observational data for calibration and model verification. The aim of this study is to test the potentials and constraints of the remote sensing signal of the Global Flood Detection System (GFDS) for converting the flood detection signal into river discharge values. This work also provides a first analysis of the local factors influencing the accuracy of discharge measurement as provided by this system.
T. R. H. Holmes, W. T. Crow, and C. Hain
Hydrol. Earth Syst. Sci., 17, 3695–3706, https://doi.org/10.5194/hess-17-3695-2013, https://doi.org/10.5194/hess-17-3695-2013, 2013
A. Loew, T. Stacke, W. Dorigo, R. de Jeu, and S. Hagemann
Hydrol. Earth Syst. Sci., 17, 3523–3542, https://doi.org/10.5194/hess-17-3523-2013, https://doi.org/10.5194/hess-17-3523-2013, 2013
G. G. Laruelle, H. H. Dürr, R. Lauerwald, J. Hartmann, C. P. Slomp, N. Goossens, and P. A. G. Regnier
Hydrol. Earth Syst. Sci., 17, 2029–2051, https://doi.org/10.5194/hess-17-2029-2013, https://doi.org/10.5194/hess-17-2029-2013, 2013
R. S. Westerhoff, M. P. H. Kleuskens, H. C. Winsemius, H. J. Huizinga, G. R. Brakenridge, and C. Bishop
Hydrol. Earth Syst. Sci., 17, 651–663, https://doi.org/10.5194/hess-17-651-2013, https://doi.org/10.5194/hess-17-651-2013, 2013
E. Santi, S. Pettinato, S. Paloscia, P. Pampaloni, G. Macelloni, and M. Brogioni
Hydrol. Earth Syst. Sci., 16, 3659–3676, https://doi.org/10.5194/hess-16-3659-2012, https://doi.org/10.5194/hess-16-3659-2012, 2012
E. Delogu, G. Boulet, A. Olioso, B. Coudert, J. Chirouze, E. Ceschia, V. Le Dantec, O. Marloie, G. Chehbouni, and J.-P. Lagouarde
Hydrol. Earth Syst. Sci., 16, 2995–3010, https://doi.org/10.5194/hess-16-2995-2012, https://doi.org/10.5194/hess-16-2995-2012, 2012
B. T. Gouweleeuw, A. I. J. M. van Dijk, J. P. Guerschman, P. Dyce, and M. Owe
Hydrol. Earth Syst. Sci., 16, 1635–1645, https://doi.org/10.5194/hess-16-1635-2012, https://doi.org/10.5194/hess-16-1635-2012, 2012
K. T. Rebel, R. A. M. de Jeu, P. Ciais, N. Viovy, S. L. Piao, G. Kiely, and A. J. Dolman
Hydrol. Earth Syst. Sci., 16, 833–847, https://doi.org/10.5194/hess-16-833-2012, https://doi.org/10.5194/hess-16-833-2012, 2012
C. Draper, J.-F. Mahfouf, J.-C. Calvet, E. Martin, and W. Wagner
Hydrol. Earth Syst. Sci., 15, 3829–3841, https://doi.org/10.5194/hess-15-3829-2011, https://doi.org/10.5194/hess-15-3829-2011, 2011
H. Norouzi, M. Temimi, W. B. Rossow, C. Pearl, M. Azarderakhsh, and R. Khanbilvardi
Hydrol. Earth Syst. Sci., 15, 3577–3589, https://doi.org/10.5194/hess-15-3577-2011, https://doi.org/10.5194/hess-15-3577-2011, 2011
Cited articles
Batalla, R. J., Gómez, C. M., and Kondolf, G. M.: Reservoir-induced
hydrological changes in the Ebro River basin (NE Spain), J. Hydrol., 290,
117–136, https://doi.org/10.1016/j.jhydrol.2003.12.002, 2004.
Batanero, G. L., León-Palmero, E., Li, L., Green, A. J.,
Rendón-Martos, M., Suttle, C. A., and Reche, I.: Flamingos and drought
as drivers of nutrients and microbial dynamics in a saline lake, Sci. Rep.,
7, 12173, https://doi.org/10.1038/s41598-017-12462-9, 2017.
Belward, A.: The global observing system for climate: Implementation needs,
Technical Report, GCOS-200, World Meteorological Organization, 2016.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology/Un modèle à base physique de zone
d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. Bull., 24,
43–69, https://doi.org/10.1080/02626667909491834, 1979.
Busker, T., de Roo, A., Gelati, E., Schwatke, C., Adamovic, M., Bisselink, B., Pekel, J.-F., and Cottam, A.: A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry, Hydrol. Earth Syst. Sci., 23, 669–690, https://doi.org/10.5194/hess-23-669-2019, 2019.
Cael, B. B., Heathcote, A. J., and Seekell, D. A.: The volume and mean depth
of Earth's lakes, Geophys. Res. Lett., 44, 209–218,
https://doi.org/10.1002/2016GL071378, 2017.
Carroll, M. L., Townshend, J. R., DiMiceli, C. M., Noojipady, P., and
Sohlberg, R. A.: A new global raster water mask at 250 m resolution, Int. J.
Dig. Earth., 2, 291–308, https://doi.org/10.1080/17538940902951401, 2009.
Chahine, M. T.: The hydrological cycle and its influence on climate, Nature,
359, 373–380, https://doi.org/10.1038/359373a0, 1992.
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J.,
Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg,
J. J., and Melack, J.: Plumbing the global Carbon cycle: Integrating inland
waters into the terrestrial Carbon budget, Ecosystems, 10, 172–185,
https://doi.org/10.1007/s10021-006-9013-8, 2007.
Costa, L. T., Farinha, J. C., Hecker, N., and Tomàs-Vives, P.: Mediterranean Wetland Inventory: A reference manual, MedWet/Instituto da
Conservação da Natureza/Wetlands International publication, Volume
I, Portugal, 1996.
De Castro, F. and Reinoso, J. C. M.: Model of long-term water-table
dynamics at Donana National Park, Water Res., 31, 2586–2596,
https://doi.org/10.1016/s0043-1354(97)00098-5, 1997.
Donchyts, G., Baart, F., Winsemius, H., Gorelick, N., Kwadijk, J., and van
de Giesen, N.: Earth's surface water change over the past 30 years, Nat.
Clim. Chang., 6, 810–813, https://doi.org/10.1038/nclimate3111, 2016.
Drake, J. C., Jenness, J. S., Calvert, J., and Griffis-Kyle, K. L.: Testing
a model for the prediction of isolated waters in the Sonoran Desert, J. Arid
Environ., 118, 1–8, https://doi.org/10.1016/j.jaridenv.2015.02.018, 2015.
Du, Y., Zhang, Y. H., Ling, F., Wang, Q. M., Li, W. B., and Li, X. D.: Water
bodies' mapping from Sentinel-2 imagery with Modified Normalized Difference
Water Index at 10-m spatial resolution produced by sharpening the SWIR band,
Remote Sens., 8, 354, https://doi.org/10.3390/rs8040354, 2016.
Duan, Z. and Bastiaanssen, W. G. M.: Estimating water volume variations in
lakes and reservoirs from four operational satellite altimetry databases and
satellite imagery data, Remote Sens. Environ., 134, 403–416,
https://doi.org/10.1016/j.rse.2013.03.010, 2013.
Ekhtiari, N., Grossman-Clarke, S., Koch, H., Meira de Souza, W., Donner, R.
V., and Volkholz, J.: Effects of the lake Sobradinho reservoir (Northeastern
Brazil) on the regional climate, Climate, 5, 50, https://doi.org/10.3390/cli5030050, 2017.
Feng, M., Sexton, J. O., Channan, S., and Townshend, J. R.: A global,
high-resolution (30-m) inland water body dataset for 2000: first results of
a topographic–spectral classification algorithm, Int. J. Digit. Earth, 9,
113–133, https://doi.org/10.1080/17538947.2015.1026420, 2015.
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N.,
Sibley, A., and Huang, X.: MODIS Collection 5 global land cover: Algorithm
refinements and characterization of new datasets, Remote Sens. Environ.,
114, 168–182, https://doi.org/10.1016/j.rse.2009.08.016, 2010.
Galewski, T.: Biodiversity: Status and trends of species in
Mediterranean wetlands, Mediterranean Wetlands Observatory Thematic
Collection, Special Issue No. 1, Tour du Valat, France, 2012.
Gao, B. C.: NDWI-A normalized difference water index for remote sensing of
vegetation liquid water from space, Remote Sens. Environ., 58, 257–266,
https://doi.org/10.1016/S0034-4257(96)00067-3, 1996.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27,
https://doi.org/10.1016/j.rse.2017.06.031, 2017.
Grabs, T., Seibert, J., Bishop, K., and Laudon, H.: Modeling spatial
patterns of saturated areas: A comparison of the topographic wetness index
and a dynamic distributed model, J. Hydrol., 373, 15–23,
https://doi.org/10.1016/j.jhydrol.2009.03.031, 2009.
Guerschman, J. P., Warren, G., Byrne, G., Lymburner, L., Mueller, N., and Van Dijk, A.: MODIS-based standing water detection for flood and large reservoir mapping: algorithm development and applications for the Australian continent, CSIRO: Water for a Healthy Country National Research Flagship Report, Canberra, 2011.
Halabisky, M., Moskal, L. M., Gillespie, A., and Hannam, M.: Reconstructing
semi-arid wetland surface water dynamics through spectral mixture analysis
of a time series of Landsat satellite images (1984–2011), Remote Sens.
Environ., 177, 171–183, https://doi.org/10.1016/j.rse.2016.02.040, 2016.
Heimhuber, V., Tulbure, M. G., and Broich, M.: Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data, Hydrol. Earth Syst. Sci., 20, 2227–2250, https://doi.org/10.5194/hess-20-2227-2016, 2016.
Hope, A. S., Coulter, L. L., and Stow, D. A.: Estimating lake area in an
Arctic landscape using linear mixture modelling with AVHRR data, Int. J.
Remote Sens., 20, 829–835, https://doi.org/10.1080/014311699213253, 1999.
Hossain, F., Jeyachandran, I., and Pielke Sr., R.: Have large dams altered
extreme precipitation patterns?, Eos, Trans. Amer. Geophys. Union, 90,
453–454, https://doi.org/10.1029/2009eo480001, 2009.
Huang, C., Peng, Y., Lang, M., Yeo, I.-Y., and McCarty, G.: Wetland
inundation mapping and change monitoring using Landsat and airborne LiDAR
data, Remote Sens. Environ., 141, 231–242,
https://doi.org/10.1016/j.rse.2013.10.020, 2014.
Huang, Q., Long, D., Du, M., Zeng, C., Qiao, G., Li, X., Hou, A., and Hong,
Y.: Discharge estimation in high-mountain regions with improved methods
using multisource remote sensing: A case study of the Upper Brahmaputra
River, Remote Sens. Environ., 219, 115–134,
https://doi.org/10.1016/j.rse.2018.10.008, 2018.
JAES-CC (Jabbul Agro-Ecosystem Consultative Committee): A framework for
integrated wetland management of the Jabbul Agroecosystem, ICARDA, Aleppo,
Syria, 2010.
Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Hole-filled seamless
SRTM data V4, available from the CGIAR-CSI SRTM 90 m Database, available at: http://srtm.csi.cgiar.org (last access: 10 July 2019), 2008.
Kaptue, A. T., Hanan, N. P., and Prihodko, L.: Characterization of the
spatial and temporal variability of surface water in the Soudan-Sahel region
of Africa, J. Geophys. Res.-Biogeosci., 118, 1472–1483,
https://doi.org/10.1002/jgrg.20121, 2013.
Khandelwal, A., Karpatne, A., Marlier, M. E., Kim, J., Lettenmaier, D. P.,
and Kumar, V.: An approach for global monitoring of surface water extent
variations in reservoirs using MODIS data, Remote Sens. Environ., 202, 113–128, https://doi.org/10.1016/j.rse.2017.05.039, 2017.
Klein, I., Gessner, U., Dietz, A. J., and Kuenzer, C.: Global WaterPack – A
250m resolution dataset revealing the daily dynamics of global inland water
bodies, Remote Sens. Environ., 198, 345–362,
https://doi.org/10.1016/j.rse.2017.06.045, 2017.
Kuhn, M., Weston, S., Keefer, C., and Coulter, N.: Cubist models for
regression, R package Vignette, 2012.
Lehner, B. and Doll, P.: Development and validation of a global database of
lakes, reservoirs and wetlands, J. Hydrol., 296, 1–22,
https://doi.org/10.1016/j.jhydrol.2004.03.028, 2004.
Li, L.: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Development and Validation of a Dense 18-Year Time Series of Surface Water Fraction Estimates from MODIS for the Mediterranean Region, DANS, https://doi.org/10.17026/dans-xrz-y92s, 2019.
Li, L., Vrieling, A., Skidmore, A., Wang, T., Muñoz, A.-R., and Turak,
E.: Evaluation of MODIS spectral indices for monitoring hydrological
dynamics of a small, seasonally-flooded wetland in southern Spain, Wetlands,
35, 851–864, https://doi.org/10.1007/s13157-015-0676-9, 2015.
Li, L., Vrieling, A., Skidmore, A., Wang, T., and Turak, E.: Monitoring the
dynamics of surface water fraction from MODIS time series in a Mediterranean
environment, Int. J. Appl. Earth Obs. Geoinf., 66, 135–145,
https://doi.org/10.1016/j.jag.2017.11.007, 2018.
Li, S. M., Sun, D. L., Yu, Y. Y., Csiszar, I., Stefanidis, A., and Goldberg,
M. D.: A new shortwave infrared (SWIR) method for quantitative water
fraction derivation and evaluation with EOS/MODIS and Landsat/TM data, IEEE
Trans. Geosci. Remote Sens., 51, 1852–1862,
https://doi.org/10.1109/tgrs.2012.2208466, 2013.
McFeeters, S. K.: The use of the normalized difference water index (NDWI) in
the delineation of open water features, Int. J. Remote Sens., 17, 1425–1432,
https://doi.org/10.1080/01431169608948714, 1996.
Mohamed Degu, A., Hossain, F., Niyogi, D., Pielke Sr., R., Shepherd, M.,
Voisin, N., and Chronis, T.: The influence of large dams on surrounding
climate and precipitation patterns, Geophys. Res. Lett., 38, L04405,
https://doi.org/10.1029/2010GL046482, 2011.
Mohammadi, A., Costelloe, J. F., and Ryu, D.: Application of time series of
remotely sensed normalized difference water, vegetation and moisture indices
in characterizing flood dynamics of large-scale arid zone floodplains,
Remote Sens. Environ., 190, 70–82,
https://doi.org/10.1016/j.rse.2016.12.003, 2017.
Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J.,
Lymburner, L., McIntyre, A., Tan, P., Curnow, S., and Ip, A.: Water
observations from space: Mapping surface water from 25 years of Landsat
imagery across Australia, Remote Sens. Environ., 174, 341–352,
https://doi.org/10.1016/j.rse.2015.11.003, 2016.
Olthof, I., Fraser, R. H., and Schmitt, C.: Landsat-based mapping of
thermokarst lake dynamics on the Tuktoyaktuk Coastal Plain, Northwest
Territories, Canada since 1985, Remote Sens. Environ., 168, 194–204,
https://doi.org/10.1016/j.rse.2015.07.001, 2015.
Parrens, M., Al Bitar, A., Frappart, F., Papa, F., Calmant, S., Crétaux,
J.-F., Wigneron, J.-P., and Kerr, Y.: Mapping dynamic water fraction under
the tropical rain forests of the Amazonian basin from SMOS brightness
temperatures, Water, 9, 350, https://doi.org/10.3390/w9050350, 2017.
Peel, M. C., Finlayson, B. L., and McMahon, T. A.: Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 1633–1644, https://doi.org/10.5194/hess-11-1633-2007, 2007.
Pekel, J.-F., Vancutsem, C., Bastin, L., Clerici, M., Vanbogaert, E.,
Bartholomé, E., and Defourny, P.: A near real-time water surface
detection method based on HSV transformation of MODIS multi-spectral time
series data, Remote Sens. Environ., 140, 704–716,
https://doi.org/10.1016/j.rse.2013.10.008, 2014.
Pekel, J.-F., Cottam, A., Gorelick, N., and Belward, A. S.: High-resolution
mapping of global surface water and its long-term changes, Nature, 540,
418–422, https://doi.org/10.1038/nature20584, 2016.
Pesaresi, M., Ehrlich, D., Florczyk, A. J., Freire, S., Julea, A., Kemper,
T., and Syrris, V.: The global human settlement layer from landsat imagery,
2016 IEEE International Geoscience and Remote Sensing Symposium
(IGARSS), Beijing, China, 10–15 July 2016, 7276–7279, 2016.
Quinlan, J. R.: Combining instance-based and model-based learning,
Proceedings of the Tenth International Conference on Machine Learning, MA,
USA, 27–29 July 1993, 236–243, 1993.
Rodriguez-Rodriguez, M., Martos-Rosillo, S., and Pedrera, A.:
Hydrogeological behaviour of the Fuente-de-Piedra playa lake and tectonic
origin of its basin (Malaga, southern Spain), J. Hydrol., 543, 462–476,
https://doi.org/10.1016/j.jhydrol.2016.10.021, 2016.
Rover, J., Wylie, B. K., and Ji, L.: A self-trained classification technique
for producing 30 m percent-water maps from Landsat data, Int. J. Remote
Sens., 31, 2197–2203, https://doi.org/10.1080/01431161003667455, 2010.
Salomon, J., Hodges, J. C. F., Friedl, M., Schaaf, C., Strahler, A., Gao,
F., Schneider, A., Zhang, X., Saleous, N. E., and Wolfe, R. E.: Global
land-water mask derived from MODIS Nadir BRDF-adjusted reflectances (NBAR)
and the MODIS land cover algorithm, 2004 IEEE International Geoscience
and Remote Sensing Symposium, AK, USA, 20–24 September 2004, 239–241, 2004.
Schaaf, C.: MCD43A4 V006 MODIS/Terra and Aqua BRDF-Adjusted Reflectance
Daily L3 Global 500 m SIN Grid, NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/modis/mcd43a4.006,
2015a.
Schaaf, C.: MCD43A2 V006 MODIS/Terra and Aqua BRDF/Albedo Quality Daily L3
Global 500 m SIN Grid, NASA LP DAAC, available at:
https://doi.org/10.5067/MODIS/MCD43A2.006, 2015b.
Šefferová Stanová, V., Janák, M., and Ripka, J.: Management
of Natura 2000 habitats. 1530* Pannonic salt steppes and salt marshes,
European Commission, Brussels, 2008.
Sharma, R. C., Tateishi, R., Hara, K., and Nguyen, L. V.: Developing
Superfine Water Index (SWI) for global water cover mapping using MODIS data,
Remote Sens., 7, 13807–13841, https://doi.org/10.3390/rs71013807, 2015.
Stefan, S., Fionnuala, H. O. N., Marianna, B., Christian, D., Viktor, G.,
Robert, K., Theo van der, S., Andreas, K., Sophie, G. L., Zita, S., Martin,
P., Boris, B., Thomas, E., Bernd, N., James, R. M., Katrin, E., Volker, M.,
and Thomas, W.: Multifunctional floodplain management and biodiversity
effects: a knowledge synthesis for six European countries, Biodivers.
Conserv., 25, 1349–1382, https://doi.org/10.1007/s10531-016-1129-3, 2016.
Sun, D. L., Yu, Y. Y., Zhang, R., Li, S. M., and Goldberg, M. D.: Towards
operational automatic flood detection using EOS/MODIS data, Photogramm. Eng.
Remote Sens., 78, 637–646, https://doi.org/10.14358/pers.78.6.637, 2012.
Tong, X., Pan, H., Xie, H., Xu, X., Li, F., Chen, L., Luo, X., Liu, S.,
Chen, P., and Jin, Y.: Estimating water volume variations in Lake Victoria
over the past 22 years using multi-mission altimetry and remotely sensed
images, Remote Sens. Environ., 187, 400–413,
https://doi.org/10.1016/j.rse.2016.10.012, 2016.
Tranvik, L. J., Downing, J. A., Cotner, J. B., Loiselle, S. A., Striegl, R.
G., Ballatore, T. J., Dillon, P., Finlay, K., Fortino, K., Knoll, L. B.,
Kortelainen, P. L., Kutser, T., Larsen, S., Laurion, I., Leech, D. M.,
McCallister, S. L., McKnight, D. M., Melack, J. M., Overholt, E., Porter, J.
A., Prairie, Y., Renwick, W. H., Roland, F., Sherman, B. S., Schindler, D.
W., Sobek, S., Tremblay, A., Vanni, M. J., Verschoor, A. M., von
Wachenfeldt, E., and Weyhenmeyer, G. A.: Lakes and reservoirs as regulators
of carbon cycling and climate, Limnol. Oceanogr., 54, 2298–2314,
https://doi.org/10.4319/lo.2009.54.6_part_2.2298, 2009.
Tucker, C. J.: Red and photographic infrared linear combinations for
monitoring vegetation, Remote Sens. Environ., 8, 127–150,
https://doi.org/10.1016/0034-4257(79)90013-0, 1979.
Tulbure, M. G. and Broich, M.: Spatiotemporal patterns and effects of
climate and land use on surface water extent dynamics in a dryland region
with three decades of Landsat satellite data, Sci. Total Environ., 658,
1574–1585, https://doi.org/10.1016/j.scitotenv.2018.11.390, 2019.
Turak, E., Harrison, I., Dudgeon, D., Abell, R., Bush, A., Darwall, W.,
Finlayson, C. M., Ferrier, S., Freyhof, J., Hermoso, V., Juffe-Bignoli, D.,
Linke, S., Nel, J., Patricio, H. C., Pittock, J., Raghavan, R., Revenga, C.,
Simaika, J. P., and De Wever, A.: Essential biodiversity variables for
measuring change in global freshwater biodiversity, Biol. Conserv., 213,
272–279, https://doi.org/10.1016/j.biocon.2016.09.005, 2017.
Wang, P., Huang, C., and Brown de Colstoun, E. C.: Mapping 2000–2010
impervious surface change in India using global land survey Landsat data,
Remote Sens., 9, 366, https://doi.org/10.3390/rs9040366, 2017.
Weiss, D. J. and Crabtree, R. L.: Percent surface water estimation from
MODIS BRDF 16-day image composites, Remote Sens. Environ., 115, 2035–2046,
https://doi.org/10.1016/j.rse.2011.04.005, 2011.
Wulder, M. A., White, J. C., Loveland, T. R., Woodcock, C. E., Belward, A.
S., Cohen, W. B., Fosnight, E. A., Shaw, J., Masek, J. G., and Roy, D. P.:
The global Landsat archive: Status, consolidation, and direction, Remote
Sens. Environ., 185, 271–283, https://doi.org/10.1016/j.rse.2015.11.032,
2016.
Xiao, X., Boles, S., Frolking, S., Salas, W., Moore, B., Li, C., He, L., and
Zhao, R.: Observation of flooding and rice transplanting of paddy rice
fields at the site to landscape scales in China using VEGETATION sensor
data, Int. J. Remote Sens., 23, 3009–3022,
https://doi.org/10.1080/01431160110107734, 2002.
Xu, H.: Modification of normalised difference water index (NDWI) to enhance
open water features in remotely sensed imagery, Int. J. Remote Sens., 27,
3025–3033, https://doi.org/10.1080/01431160600589179, 2006.
Yamazaki, D. and Trigg, M. A.: Hydrology: The dynamics of Earth's surface
water, Nature, 540, 348–349, https://doi.org/10.1038/nature21100, 2016.
Yamazaki, D., Trigg, M. A., and Ikeshima, D.: Development of a global
∼ 90 m water body map using multi-temporal Landsat images,
Remote Sens. Environ., 171, 337–351,
https://doi.org/10.1016/j.rse.2015.10.014, 2015.
Zhang, G. Q., Yao, T. D., Chen, W. F., Zheng, G. X., Shum, C. K., Yang, K.,
Piao, S. L., Sheng, Y. W., Yi, S., Li, J. L., O'Reilly, C. M., Qi, S. H.,
Shen, S. S. P., Zhang, H. B., and Jia, Y. Y.: Regional differences of lake
evolution across China during 1960s–2015 and its natural and anthropogenic
causes, Remote Sens. Environ., 221, 386–404,
https://doi.org/10.1016/j.rse.2018.11.038, 2019.
Zhang, X., Schaaf, C. B., Friedl, M. A., Strahler, A. H., Gao, F., and
Hodges, J. C. F.: MODIS tasseled cap transformation and its utility,
IEEE International Geoscience and Remote Sensing Symposium, Canada, 24–28 June 2002, 1063–1065, 2002.
Short summary
We derived an 8 d, 500 m resolution surface water fraction product over the Mediterranean region for 2000–2017 based on MODIS data. This dataset complements existing surface water/wetland datasets by adding more temporal detail. It allows for the seasonal, inter-annual, and long-term dynamics of the surface water extent to be monitored, inclusive of small-sized and highly dynamic water bodies; it can also contribute to biodiversity and climate change assessment.
We derived an 8 d, 500 m resolution surface water fraction product over the Mediterranean region...
