Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2685-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2685-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Jun 2017
Research article |
| 08 Jun 2017
A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval
Department of Civil, Environmental and Geo- Engineering and St.
Anthony Falls Laboratory, University of Minnesota, Twin Cities, Minneapolis,
Minnesota, USA
Ardeshir M. Ebtehaj
Department of Civil, Environmental and Geo- Engineering and St.
Anthony Falls Laboratory, University of Minnesota, Twin Cities, Minneapolis,
Minnesota, USA
Efi Foufoula-Georgiou
Department of Civil and Environmental Engineering, University of
California, Irvine, California, USA
Department of Civil, Environmental and Geo- Engineering and St.
Anthony Falls Laboratory, University of Minnesota, Twin Cities, Minneapolis,
Minnesota, USA
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Humans have profoundly altered land cover and soil drainage for agricultural purposes in the Midwestern USA. Here we investigate whether climate alone can explain recent increases in observed streamflows throughout the region. Using multiple analyses, including statistical tests and water budgets, we conclude that historical drainage installation has likely amplified the streamflow response to regional precipitation increases. We stress that better documentation of artificial drainage is needed.
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The outputs from Earth system models are optimally combined with satellite observations to produce accurate forecasts through a process called data assimilation. Many existing data assimilation methodologies have some assumptions regarding the shape of the probability distributions of model output and observations, which results in forecast inaccuracies. In this paper, we test the effectiveness of a newly proposed methodology that relaxes such assumptions about high-dimensional models.
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Humans have profoundly altered land cover and soil drainage for agricultural purposes in the Midwestern USA. Here we investigate whether climate alone can explain recent increases in observed streamflows throughout the region. Using multiple analyses, including statistical tests and water budgets, we conclude that historical drainage installation has likely amplified the streamflow response to regional precipitation increases. We stress that better documentation of artificial drainage is needed.
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Humans have profoundly altered land use and drainage of the Midwestern USA. We examine whether historical precipitation increases alone can explain large increases observed in streamflows throughout the region. Using multiple analyses, statistical tests and a water budget we determine that streamflow increases have been driven by combined effects of precipitation and agricultural drainage installation. We argue that better documentation of artificial drainage is greatly needed.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
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Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
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In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
Imeshi Weerasinghe, Wim Bastiaanssen, Marloes Mul, Li Jia, and Ann van Griensven
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Water resource allocation to various sectors requires an understanding of the hydrological cycle, where evapotranspiration (ET) is a key component. Satellite-derived products estimate ET but are hard to evaluate at large scales. This work presents an alternate evaluation methodology to point-scale observations in Africa. The paper enables users to select an ET product based on their performance regarding selected criteria using a ranking system. The highest ranked products are WaPOR and CMRSET.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
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We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Sameer M. Shadeed, Tariq G. Judeh, and Mohammad N. Almasri
Hydrol. Earth Syst. Sci., 23, 1581–1592, https://doi.org/10.5194/hess-23-1581-2019, https://doi.org/10.5194/hess-23-1581-2019, 2019
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The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
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This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
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About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
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We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Shray Pathak, Lalit Pal, Chandra Shekhar Prasad Ojha, Ana Mijic, and Rahul Dev Garg
Hydrol. Earth Syst. Sci., 22, 5357–5371, https://doi.org/10.5194/hess-22-5357-2018, https://doi.org/10.5194/hess-22-5357-2018, 2018
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In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
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Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
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This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
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Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
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In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
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This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Joseph G. Alfieri, Martha C. Anderson, William P. Kustas, and Carmelo Cammalleri
Hydrol. Earth Syst. Sci., 21, 83–98, https://doi.org/10.5194/hess-21-83-2017, https://doi.org/10.5194/hess-21-83-2017, 2017
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
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The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
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Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
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Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
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This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, and G. Dedieu
Hydrol. Earth Syst. Sci., 14, 1731–1744, https://doi.org/10.5194/hess-14-1731-2010, https://doi.org/10.5194/hess-14-1731-2010, 2010
M. El Haj Tahir, A. Kääb, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, https://doi.org/10.5194/hess-14-1167-2010, 2010
Cited articles
Alharthi, A. and Lange, J.: Soil water saturation: Dielectric determination, Water Resour. Res., 23, 591–595, https://doi.org/10.1029/WR023i004p00591, 1987.
Allison, L. J., Schmugge, T. J., and Byrne, G.: A hydrological analysis of East Australian floods using Nimbus-5 electrically scanning radiometer data, B. Am. Meteorol. Soc., 60, 1414–1427, https://doi.org/10.1175/1520-0477(1979)060<1414:AHAOEA>2.0.CO;2, 1979.
Armstrong, R. L. and Brodzik, M. J.: An earth-gridded SSM/I data set for cryospheric studies and global change monitoring, Adv. Space Res., 16, 155–163, https://doi.org/10.1016/0273-1177(95)00397-W, 1995.
Basist, A., Grody, N. C., Peterson, T. C., and Williams, C. N.: Using the Special Sensor Microwave/Imager to Monitor Land Surface Temperatures, Wetness, and Snow Cover, J. Appl. Meteorol., 37, 888–911, https://doi.org/10.1175/1520-0450(1998)037<0888:UTSSMI>2.0.CO;2, 1998.
Brakenridge, G. R. and Anderson, E.: MODIS-based flood detection mapping and measurement: The potential for operational hydrological applications, in: Transboundary Floods: Reducing Risks Through Flood Management, edited by: Marsalek, J., Stancalie, G., and Balint, G., Nato Science Series: IV: Earth and Environmental Sciences, 72, Springer, Dordrecht, 2006.
Brakenridge, G. R., Nghiem, S. V., Anderson, E., and Chien, S.: Space-based measurement of river runoff, Eos T. Am. Geophys. Un., 86, 185–188, 2005.
Brakenridge, G. R., Nghiem, S. V., Anderson, E., and Mic, R.: Orbital microwave measurement of river discharge and ice status, Water Resour. Res., 43, 1–16, https://doi.org/10.1029/2006WR005238, 2007.
Choudhury, B. J.: Passive microwave remote sensing contribution to hydrological variables, Land Surface–Atmosphere Interactions for Climate Modeling, Springer Netherlands, 63–84, 1991.
Coleman, T. F., Branch, M. A., and Grace, A.: Optimization Toolbox: For Use with MATLAB: User's Guide, Version 2. MathWorks, available at: https://pdfs.semanticscholar.org/35e3/d60a0bdbd53c008fad425e9f8668e1528542.pdf (last access: 5 June 2017), 1999.
Coles, S. G. and Powell, E. A.: Bayesian methods in extreme value modelling: a review and new developments, Int. Stat. Rev., 119–136, https://doi.org/10.2307/1403426, 1996.
Crétaux, J.-F., Bergé-Nguyen, M., Leblanc, M., Abarca Del Rio, R., Delclaux, F., Mognard, N., Lion, C., Pandey, R. K., Tweed, S., Calmant, S., and Maisongrande, P.: Flood mapping inferred from remote sensing data, Int. Water Technol. J., 1, 48–62, 2011.
De Groeve, T.: Flood monitoring and mapping using passive microwave remote sensing in Namibia, Geomatics Nat. Hazards Risk, 1, 19–35, https://doi.org/10.1080/19475701003648085, 2010.
Delgado, J. M., Merz, B., and Apel, H.: A climate-flood link for the lower Mekong River, Hydrol. Earth Syst. Sci., 16, 1533–1541, https://doi.org/10.5194/hess-16-1533-2012, 2012.
Ebtehaj, A. M., Bras, R. L., and Foufoula-Georgiou, E.: On evaluation of ShARP passive rainfall retrievals over snow-covered land surfaces and coastal zones, arXiv Prepr., 17, 1013–1029, https://doi.org/10.1175/JHM-D-15-0164.1, 2015a.
Ebtehaj, A. M., Bras, R. L., and Foufoula-Georgiou, E.: Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation, IEEE T. Geosci. Remote Sens., 53, 3720–3736, https://doi.org/10.1109/TGRS.2014.2382436, 2015b.
Ericson, J. P., Vörösmarty, C. J., Dingman, S. L., Ward, L. G., and Meybeck, M.: Effective sea-level rise and deltas: Causes of change and human dimension implications, Global Planet. Change, 50, 63–82, https://doi.org/10.1016/j.gloplacha.2005.07.004, 2006.
Ferraro, R., Grody, N., and Kogut, J.: Classification of Geophysical Parameters Using Passive Microwave Satellite Measurements, IEEE T. Geosci. Remote Sens., 24, 1008–1013, https://doi.org/10.1109/TGRS.1986.289564, 1986.
Frazier, P. S. and Page, K. J.: Water Body Detection and Delineation with Landsat TM Data, Photogramm. Eng. Rem. S., 66, 1461–1467, 2000.
Galantowicz, J. F.: High-resolution flood mapping from low-resolution passive microwave data, IEEE Int. Geosci. Remote Sens. Symp., 3, 1499–1502, https://doi.org/10.1109/IGARSS.2002.1026161, 2002.
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.
Giddings, L. and Choudhury, B. J.: Observation of hydrological features with Nimbus-7 37 GHz data, applied to South America, Int. J. Remote Sens., 10, 1673–1686, https://doi.org/10.1080/01431168908903998, 1989.
Grody, N. C.: Classification of snow cover and precipitation using the special sensor microwave imager, J. Geophys. Res., 96, 7423, https://doi.org/10.1029/91JD00045, 1991.
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.
Gupta, A.: The physical geography of Southeast Asia, Vol. 4, Oxford University Press on Demand, 2005.
Jain, S. K., Singh, R. D., Jain, M. K., and Lohani, A. K.: Delineation of flood-prone areas using remote sensing techniques, Water Resour. Manage., 19, 333–347, https://doi.org/10.1007/s11269-005-3281-5, 2005.
Kuenzer, C., Klein, I., Ullmann, T., Georgiou, E., Baumhauer, R., and Dech, S.: Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series, Remote Sens., 7, 8516–8542, https://doi.org/10.3390/rs70708516, 2015.
Leinenkugel, P., Kuenzer, C., and Dech, S.: Comparison and enhancement of MODIS cloud mask products for Southeast Asia, Int. J. Remote Sens., 34, 2730–2748, https://doi.org/10.1080/01431161.2012.750037, 2013.
Mears, C. A., Schabel, M. C., Wentz, F. J., Santer, B. D., Govindasamy, B., and Ieee: Correcting the MSU middle tropospheric temperature for diurnal drifts, Igarss 2002 Ieee Int. Geosci. Remote Sens. Symp. 24th Can. Symp. Remote Sensing, Vols. I–Vi, Proc. Remote Sens. Integr. Our View Planet, 1839–1841, 2002.
Melack, J. M., Hess, L. L., and Sippel, S.: Remote sensing of lakes and floodplains in the Amazon Basin, Remote Sens. Rev., 10, 127–142, https://doi.org/10.1080/02757259409532240, 1994.
McGinnis, D. F. and Rango, A.: Earth resources satellite systems for flood monitoring, Geophys. Res. Lett., 2, 132–135, https://doi.org/10.1029/GL002i004p00132, 1975.
NASA Goddard's Hydrology Laboratory: NRT global flood mapping, available at: https://floodmap.modaps.eosdis.nasa.gov/, last access: 5 June 2016.
Nelsen, R. B.: An Introduction to Copulas, Lecture notes in statistics, 39, Springer-Verlag, New York, New York, 1999.
Nicholls, R. J. and Cazenave, A.: Sea-level rise and its impact on coastal zones, Science, 328, 1517–1520, https://doi.org/10.1126/science.1185782, 2010.
Nigro, J., Slayback, D., Policelli, F., and Brakenridge, G. R.: NASA/DFO MODIS Near Real-Time (NRT) Global Flood Mapping Product Evaluation of Flood and Permanent Water Detection, available at: http://oas.gsfc.nasa.gov/floodmap/documents/NASAGlobalNRTEvaluationSummary_v4.pdf (last access: 5 June 2017), 2014.
Norouzi, H., Rossow, W., Temimi, M., Prigent, C., Azarderakhsh, M., Boukabara, S., and Khanbilvardi, R.: Using microwave brightness temperature diurnal cycle to improve emissivity retrievals over land, Remote Sens. Environ., 123, 470–482, https://doi.org/10.1016/j.rse.2012.04.015, 2012.
Ordoyne, C. and Friedl, M. A.: Using MODIS data to characterize seasonal inundation patterns in the Florida Everglades, Remote Sens. Environ., 112, 4107–4119, https://doi.org/10.1016/j.rse.2007.08.027, 2008.
Papa, F., Prigent, C., Rossow, W. B., Legresy, B., and Remy, F.: Inundated wetland dynamics over boreal regions from remote sensing: the use of Topex-Poseidon dual-frequency radar altimeter observations, Int. J. Remote Sens., 27, 4847–4866, https://doi.org/10.1080/01431160600675887, 2006.
Prigent, C., Matthews, E., Aires, F., and Rossow, W. B.: Remote sensing of global wetland dynamics with multiple satellite data sets, Geophys. Res. Lett., 28, 4631–4634, https://doi.org/10.1029/2001GL013263, 2001.
Prigent, C., Papa, F., Aires, F., Rossow, W. B., and Matthews, E.: Global inundation dynamics inferred from multiple satellite observations, 1993–2000, J. Geophys. Res.-Atmos., 112, 1993–2000, https://doi.org/10.1029/2006JD007847, 2007.
Ramage, J. M. and Isacks, B. L.: Interannual variations of snowmelt and refreeze timing on southeast-Alaskan icefields, U.S.A, J. Glaciol., 49, 102–116, https://doi.org/10.3189-172756503781830908, 2003.
Rango, A. and Anderson, A. T.: flood hazard studies in the mississippi river basin using remote sensing, J. Am. Water Resour. As., 10, 1060–1081, https://doi.org/10.1111/j.1752-1688.1974.tb00625.x, 1974.
Rango, A. and Salmonson, V.: Regional flood mapping from space, Water Resour. Res., 10, 1944–7973, https://doi.org/10.1029/WR010i003p00473., 1974.
Rouse, J. W., Haas, R. H., Schell, J. A., Deering, D. W., and Harlan, J. C.: Monitoring the vernal advancement of retrogradation of natural vegetation, NASA/GSFC, Type III, Final Report, 371 pp., Greenbelt, MD, 1974.
Schroeder, R., Rawlins, M. A., McDonald, K. C., Podest, E., Zimmermann, R., and Kueppers, M.: Satellite microwave remote sensing of North Eurasian inundation dynamics: development of coarse-resolution products and comparison with high-resolution synthetic aperture radar data, Environ. Res. Lett., 5, 15003, https://doi.org/10.1088/1748-9326/5/1/015003, 2010.
Sippel, S. J., Hamilton, S. K., Melack, J. M., and Choudhury, B. J.: Determination of inundation area in the Amazon River floodplain using the SMMR 37 GHz polarization difference, Remote Sens. Environ., 48, 70–76, https://doi.org/10.1016/0034-4257(94)90115-5, 1994.
Sippel, S. J., Hamilton, S. K., Melack, J. M., and Novo, E. M. M.: Passive microwave observations of inundation area and the area/stage relation in the Amazon River floodplain, Int. J. Remote Sens., 19, 3055–3074, https://doi.org/10.1080/014311698214181, 1998.
Smith, L. C.: Satellite remote sensing of river inundation area, stage, and discharge: A review, Hydrol. Process., 11, 1427–1439, https://doi.org/10.1002/(sici)1099-1085(199708)11:10<1427::aid-hyp473>3.0.co;2-s, 1997.
Smith, R. B.: Introduction to remote sensing of the environment, available at: www.microimages.com (last access: 5 June 2017), 2001.
Syvitski, J. P., Vörösmarty, C. J., Kettner, A. J., and Green, P.: Impact of humans on the flux of terrestrial sediment to the global coastal ocean, Science, 308, 376–380, https://doi.org/10.1126/science.1109454, 2005.
Temimi, M., Leconte, R., Brissette, F., and Chaouch, N.: Flood monitoring over the Mackenzie River Basin using passive microwave data, Remote Sens. Environ., 98, 344–355, https://doi.org/10.1016/j.rse.2005.06.010, 2005.
Temimi, M., Lacava, T., Lakhankar, T., Tramutoli, V., Ghedira, H., Ata, R., and Khanbilvardi, R.: A multi-temporal analysis of AMSR-E data for flood and discharge monitoring during the 2008 flood in Iowa, Hydrol. Process., 25, 2623–2634, https://doi.org/10.1002/hyp.8020, 2011.
Tessler, Z. D., Vörösmarty, C. J., Grossberg, M., Gladkova, I., Aizenman, H., Syvitski, J. P. M., and Foufoula-Georgiou, E.: Profiling risk and sustainability in coastal deltas of the world, Science, 349, 638–643, https://doi.org/10.1126/science.aab3574, 2015.
Ticehurst, C. J., Chen, Y., Karim, F., Dutta, D., and Gouweleeuw, B.: Using MODIS for mapping flood events for use in hydrological and hydrodynamic models: Experiences so far, 20th Int. Congr. Model. Simul., 1–9, available at: http://www.microimages.com/documentation/Tutorials/introrse.pdf (last access: 5 June 2017), 2013.
Ulaby, F. T., Moore, R. K., and Fung, A. K.: Microwave Remote Sensing: Radar remote sensing and surface scattering and emission theory, Vol. 2, Addison-Wesley Publishing Company, Advanced Book Program/World Science Division, 1982.
Wilheit, T., Adler, R., Avery, S., Barrett, E., Bauer, P., Berg, W., Chang, A., Ferriday, J., Grody, N., Goodman, S., and Kidd, C.: Algorithms for the retrieval of rainfall from passive microwave measurements, Remote Sens. Rev., 11, 163–194, https://doi.org/10.1080/02757259409532264, 1994.
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.
Zou, H. and Hastie, T.: Regularization and variable selection via the elastic net, J. R. Stat. Soc. B, 67, 301–320, https://doi.org/10.1111/j.1467-9868.2005.00503.x, 2005.
Short summary
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and...
