Toward the estimation of river discharge variations using MODIS data in ungauged basins

Tarpanelli, Angelica; Brocca, Luca; Lacava, Teodosio; Melone, F.; Moramarco, Tommaso; Faruolo, Mariapia; Pergola, Nicola; Tramutoli, Valerio

doi:10.1016/j.rse.2013.04.010

Cited by 96 publications

(94 citation statements)

References 29 publications

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“…Future investigations will be performed to integrate altimetry-derived water levels and velocity data derived by Moderate Resolution Imaging Spectroradiometer, MODIS [44] for further improvement of discharge estimation in ungauged river sites.…”

Section: Discussionmentioning

confidence: 99%

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

et al. 2013

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A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is proposed. The procedure is based on the application of the Rating Curve Model (RCM), a simple method allowing for the estimation of the flow conditions in a river section using only water levels recorded at that site and the discharges observed at another upstream section. The European Remote-Sensing Satellite 2, ERS-2, and the Environmental Satellite, ENVISAT, altimetry data are used to provide time series of water levels needed for the application of RCM. In order to evaluate the usefulness of the approach, the results are compared with the ones obtained by applying an empirical formula that allows discharge estimation from remotely sensed hydraulic information. To test the proposed procedure, the 236 km-reach of the Po River is investigated, for which five in situ stations and four satellite tracks are available. Results show that RCM is able to appropriately represent the discharge, and its performance is better than the empirical formula, although this latter does not require upstream hydrometric data. Given its simple formal structure, the proposed approach can be conveniently utilized in ungauged sites where only the survey of the cross-section is needed.

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Section: Discussionmentioning

confidence: 99%

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

et al. 2013

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“…Time series analysis with a general additive model, autoregressive (AR) model [21], autoregressive integrated moving average (ARIMA) model [22], and exponential smoothing model [23] have been used extensively in investigations on the trends in soil water dynamics [24], and were even used for forecasting the soil water dynamic tendency. These methods can be used to test the autocorrelation of SWC series [25], but are inadequate for the monotonic trend significance of SWC series [26].…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Trend of Soil Water Content in Artificial Forests on the Loess Plateau, China

Wang

Zhu

Zhao

et al. 2016

Forests

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Extensive vegetation restoration projects have been widely implemented on the Loess Plateau, China, since 1998. In addition, increasing attention has been paid to the influence of revegetation on soil water. However, the response of the soil water content (SWC) to vegetation construction and management has not been adequately studied. In this study, three types of typical artificial vegetation on level bench land were selected, including Pinus tabulaeformis Carr., Prunus sibirica L., and Hippophae rhamnoides Linn., with the natural grassland used as a control group in Wuqi County. The 0-160 cm SWC was monitored biweekly from August 2010 to June 2013 using a portable time domain reflectometry system. The serial autocorrelation test, Mann-Kendall trend test, and prewhitening Mann-Kendall test were employed to systematically analyze the trends in soil water dynamics. The results show that the SWC of the three selected artificial forests/shrub had a significant accumulation process in the 0-160 cm profile during the monitoring period, whereas such an increasing tendency was not observed for natural grassland. Furthermore, the greatest responses were observed in the Pinus tabulaeformis Carr. plantation.

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“…Furthermore, the near-real time availability of Planet imagery provides large-scale observations of river ice breakup as it progresses downstream through remote areas and may therefore enable prediction of ice-jam flooding before it occurs, providing warning to communities located along northern rivers. with and without in situ measurements [5,[66][67][68][69][70]. A major limitation of current remotely-sensed discharge estimates is the lack of sufficient temporal sampling of high resolution imagery due to revisit time or cloud cover [68].…”

Section: Other Hydrological Applicationsmentioning

confidence: 99%

Tracking Dynamic Northern Surface Water Changes with High-Frequency Planet CubeSat Imagery

et al. 2017

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Recent deployments of CubeSat imagers by companies such as Planet may advance hydrological remote sensing by providing an unprecedented combination of high temporal and high spatial resolution imagery at the global scale. With approximately 170 CubeSats orbiting at full operational capacity, the Planet CubeSat constellation currently offers an average revisit time of <1 day for the Arctic and near-daily revisit time globally at 3 m spatial resolution. Such data have numerous potential applications for water resource monitoring, hydrologic modeling and hydrologic research. Here we evaluate Planet CubeSat imaging capabilities and potential scientific utility for surface water studies in the Yukon Flats, a large sub-Arctic wetland in north central Alaska. We find that surface water areas delineated from Planet imagery have a normalized root mean square error (NRMSE) of <11% and geolocation accuracy of <10 m as compared with manual delineations from high resolution (0.3-0.5 m) WorldView-2/3 panchromatic satellite imagery. For a 625 km 2 subarea of the Yukon Flats, our time series analysis reveals that roughly one quarter of 268 lakes analyzed responded to changes in Yukon River discharge over the period 23 June-1 October 2016, one half steadily contracted, and one quarter remained unchanged. The spatial pattern of observed lake changes is heterogeneous. While connections to Yukon River control the hydrologically connected lakes, the behavior of other lakes is complex, likely driven by a combination of intricate flow paths, underlying geology and permafrost. Limitations of Planet CubeSat imagery include a lack of an automated cloud mask, geolocation inaccuracies, and inconsistent radiometric calibration across multiple platforms. Although these challenges must be addressed before Planet CubeSat imagery can achieve its full potential for large-scale hydrologic research, we conclude that CubeSat imagery offers a powerful new tool for the study and monitoring of dynamic surface water bodies.

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Toward the estimation of river discharge variations using MODIS data in ungauged basins

Cited by 96 publications

References 29 publications

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

The Dynamic Trend of Soil Water Content in Artificial Forests on the Loess Plateau, China

Tracking Dynamic Northern Surface Water Changes with High-Frequency Planet CubeSat Imagery

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