23.2.2.3.1 River Discharge Measurement, River Flow

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Hydrological Analysis. River Discharge.

Tarpanelli, A.[Angelica], Barbetta, S.[Silvia], Brocca, L.[Luca], Moramarco, T.[Tommaso],
River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling,
RS(5), No. 9, 2013, pp. 4145-4162.
DOI Link 1310
BibRef

Zaji, A.H., Bonakdari, H., Gharabaghi, B.,
Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge,
GeoRS(56), No. 6, June 2018, pp. 3432-3441.
IEEE DOI 1806
Brightness, Discharges (electric), Microwave measurement, Microwave theory and techniques, Rivers, Satellite broadcasting, surface discharges BibRef

Sichangi, A.W.[Arthur W.], Wang, L.[Lei], Hu, Z.D.[Zhi-Dan],
Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Tarpanelli, A., Santi, E., Tourian, M.J., Filippucci, P., Amarnath, G., Brocca, L.,
Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network,
GeoRS(57), No. 1, January 2019, pp. 329-341.
IEEE DOI 1901
Rivers, Discharges (electric), Optical sensors, Satellites, Altimetry, Spatial resolution, Radar altimetry, remote sensing, rivers BibRef

Kinzel, P.J.[Paul J.], Legleiter, C.J.[Carl J.],
sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Kim, D.[Donghwan], Lee, H.[Hyongki], Chang, C.H.[Chi-Hung], Bui, D.D.[Duong Du], Jayasinghe, S.[Susantha], Basnayake, S.[Senaka], Chishtie, F.[Farrukh], Hwang, E.[Euiho],
Daily River Discharge Estimation Using Multi-Mission Radar Altimetry Data and Ensemble Learning Regression in the Lower Mekong River Basin,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
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Mejía-Veintimilla, D.[Diego], Ochoa-Cueva, P.[Pablo], Samaniego-Rojas, N.[Natalia], Félix, R.[Ricardo], Arteaga, J.[Juan], Crespo, P.[Patricio], Ońate-Valdivieso, F.[Fernando], Fries, A.[Andreas],
River Discharge Simulation in the High Andes of Southern Ecuador Using High-Resolution Radar Observations and Meteorological Station Data,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Kebede, M.G.[Mulugeta Genanu], Wang, L.[Lei], Yang, K.[Kun], Chen, D.L.[De-Liang], Li, X.P.[Xiu-Ping], Zeng, T.[Tian], Hu, Z.D.[Zhi-Dan],
Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Gleason, C.J.[Colin J], Durand, M.T.[Michael T],
Remote Sensing of River Discharge: A Review and a Framing for the Discipline,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Fulton, J.W.[John W.], Mason, C.A.[Christopher A.], Eggleston, J.R.[John R.], Nicotra, M.J.[Matthew J.], Chiu, C.L.[Chao-Lin], Henneberg, M.F.[Mark F.], Best, H.R.[Heather R.], Cederberg, J.R.[Jay R.], Holnbeck, S.R.[Stephen R.], Lotspeich, R.R.[R. Russell], Laveau, C.D.[Christopher D.], Moramarco, T.[Tommaso], Jones, M.E.[Mark E.], Gourley, J.J.[Jonathan J.], Wasielewski, D.[Daniel],
Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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Zeng, T.[Tian], Wang, L.[Lei], Li, X.P.[Xiu-Ping], Song, L.[Lei], Zhang, X.[Xiaotao], Zhou, J.[Jing], Gao, B.[Bing], Liu, R.[Ruishun],
A New and Simplified Approach for Estimating the Daily River Discharge of the Tibetan Plateau Using Satellite Precipitation: An Initial Study on the Upper Brahmaputra River,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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Lou, H.Z.[He-Zhen], Wang, P.F.[Peng-Fei], Yang, S.T.[Sheng-Tian], Hao, F.H.[Fang-Hua], Ren, X.Y.[Xiao-Yu], Wang, Y.[Yue], Shi, L.H.[Liu-Hua], Wang, J.[Juan], Gong, T.L.[Tong-Liang],
Combining and Comparing an Unmanned Aerial Vehicle and Multiple Remote Sensing Satellites to Calculate Long-Term River Discharge in an Ungauged Water Source Region on the Tibetan Plateau,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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Seo, J.Y.[Jae Young], Lee, S.I.[Sang-Il],
Fusion of Multi-Satellite Data and Artificial Neural Network for Predicting Total Discharge,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Flores, J.A.[Jonathan A.], Wu, J.Q.[Joan Q.], Stöckle, C.O.[Claudio O.], Ewing, R.P.[Robert P.], Yang, X.[Xiao],
Estimating River Sediment Discharge in the Upper Mississippi River Using Landsat Imagery,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Zhang, Q.F.[Qi-Fei], Chen, Y.N.[Ya-Ning], Li, Z.[Zhi], Fang, G.H.[Gong-Huan], Xiang, Y.Y.[Yan-Yun], Li, Y.P.[Yu-Peng], Ji, H.P.[Hui-Ping],
Recent Changes in Water Discharge in Snow and Glacier Melt-Dominated Rivers in the Tienshan Mountains, Central Asia,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Scherer, D.[Daniel], Schwatke, C.[Christian], Dettmering, D.[Denise], Seitz, F.[Florian],
Long-Term Discharge Estimation for the Lower Mississippi River Using Satellite Altimetry and Remote Sensing Images,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Shi, Z.L.[Zhuo-Lin], Chen, Y.[Yun], Liu, Q.[Qihang], Huang, C.[Chang],
Discharge Estimation Using Harmonized Landsat and Sentinel-2 Product: Case Studies in the Murray Darling Basin,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Mengen, D.[David], Ottinger, M.[Marco], Leinenkugel, P.[Patrick], Ribbe, L.[Lars],
Modeling River Discharge Using Automated River Width Measurements Derived from Sentinel-1 Time Series,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
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Fulton, J.W.[John W.], Anderson, I.E.[Isaac E.], Chiu, C.L., Sommer, W.[Wolfram], Adams, J.D.[Josip D.], Moramarco, T.[Tommaso], Bjerklie, D.M.[David M.], Fulford, J.M.[Janice M.], Sloan, J.L.[Jeff L.], Best, H.R.[Heather R.], Conaway, J.S.[Jeff S.], Kang, M.J.[Michelle J.], Kohn, M.S.[Michael S.], Nicotra, M.J.[Matthew J.], Pulli, J.J.[Jeremy J.],
QCam: sUAS-Based Doppler Radar for Measuring River Discharge,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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ChunHock, S.[Sim], Cherukuru, N.[Nagur], Mujahid, A.[Aazani], Martin, P.[Patrick], Sanwlani, N.[Nivedita], Warneke, T.[Thorsten], Rixen, T.[Tim], Notholt, J.[Justus], Müller, M.[Moritz],
A New Remote Sensing Method to Estimate River to Ocean DOC Flux in Peatland Dominated Sarawak Coastal Regions, Borneo,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Conesa-García, C.[Carmelo], Puig-Mengual, C.[Carlos], Riquelme, A.[Adrián], Tomás, R.[Roberto], Martínez-Capel, F.[Francisco], García-Lorenzo, R.[Rafael], Pastor, J.L.[José L.], Pérez-Cutillas, P.[Pedro], Gonzalez, M.C.[Miguel Cano],
Combining SfM Photogrammetry and Terrestrial Laser Scanning to Assess Event-Scale Sediment Budgets along a Gravel-Bed Ephemeral Stream,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Peng, H.R.[Hong-Rui], Fok, H.S.[Hok Sum], Gong, J.[Junyi], Wang, L.[Lei],
Improving Stage-Discharge Relation in The Mekong River Estuary by Remotely Sensed Long-Period Ocean Tides,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Tarpanelli, A.[Angelica], Iodice, F.[Filippo], Brocca, L.[Luca], Restano, M.[Marco], Benveniste, J.[Jérôme],
River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Wei, C.C.A.[Chih-Chi-Ang],
Comparison of River Basin Water Level Forecasting Methods: Sequential Neural Networks and Multiple-Input Functional Neural Networks,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Andreadakis, E.[Emmanouil], Diakakis, M.[Michalis], Vassilakis, E.[Emmanuel], Deligiannakis, G.[Georgios], Antoniadis, A.[Antonis], Andriopoulos, P.[Petros], Spyrou, N.I.[Nafsika I.], Nikolopoulos, E.I.[Efthymios I.],
Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Bini, M.[Monica], Casarosa, N.[Nicola], Luppichini, M.[Marco],
Exploring the Relationship between River Discharge and Coastal Erosion: An Integrated Approach Applied to the Pisa Coastal Plain (Italy),
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Fok, H.S.[Hok Sum], Chen, Y.[Yutong], Wang, L.[Lei], Tenzer, R.[Robert], He, Q.[Qing],
Improved Mekong Basin Runoff Estimate and Its Error Characteristics Using Pure Remotely Sensed Data Products,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Ma, Z.T.[Zhong-Tian], Fok, H.S.[Hok Sum], Zhou, L.H.[Ling-Hao],
GRACE-Derived Time Lag of Mekong Estuarine Freshwater Transport in the Western South China Sea Validated by Isotopic Tracer Age,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Kuhn, J.[Johannes], Casas-Mulet, R.[Roser], Pander, J.[Joachim], Geist, J.[Juergen],
Assessing Stream Thermal Heterogeneity and Cold-Water Patches from UAV-Based Imagery: A Matter of Classification Methods and Metrics,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
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Liu, X.C.[Xing-Cai], Tang, Q.H.[Qiu-Hong], Hosseini-Moghari, S.M.[Seyed-Mohammad], Shi, X.G.[Xiao-Gang], Lo, M.H.[Min-Hui], Scanlon, B.[Bridget],
GRACE Satellites Enable Long-Lead Forecasts of Mountain Contributions to Streamflow in the Low-Flow Season,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Alimonti, C.[Claudio], Baiocchi, V.[Valerio], Bonanotte, G.[Giorgia], Molnár, G.[Gábor],
Roman Aqueduct Flow Estimation Using Geomatic Measurement,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Xiong, J.H.[Jing-Hua], Guo, S.[Shenglian], Yin, J.[Jiabo],
Discharge Estimation Using Integrated Satellite Data and Hybrid Model in the Midstream Yangtze River,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Li, D.[Dan], Wang, G.[Ge], Qin, C.[Chao], Wu, B.S.[Bao-Sheng],
River Extraction under Bankfull Discharge Conditions Based on Sentinel-2 Imagery and DEM Data,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Kramer, M.[Matthias], Felder, S.[Stefan],
Remote Sensing of Aerated Flows at Large Dams: Proof of Concept,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Gu, T.W.[Tian-Wei], Chen, Y.D.[Yao-Deng], Gao, Y.[Yufang], Qin, L.[Luyao], Wu, Y.Q.[Yu-Qing], Wu, Y.Z.[Ya-Zhen],
Improved Streamflow Forecast in a Small-Medium Sized River Basin with Coupled WRF and WRF-Hydro: Effects of Radar Data Assimilation,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Senent-Aparicio, J.[Javier], Blanco-Gómez, P.[Pablo], López-Ballesteros, A.[Adrián], Jimeno-Sáez, P.[Patricia], Pérez-Sánchez, J.[Julio],
Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador),
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Ioli, F., Pinto, L., Passoni, D., Nova, V., Detert, M.,
Evaluation of Airborne Image Velocimetry Approaches Using Low-cost UAVS In Riverine Environments,
ISPRS20(B2:597-604).
DOI Link 2012
BibRef

Mallmann, P., Montibeller, A., Hino, F., Vilela, M., Nadas, M., Caruso Jr., F., Delabary, H.,
Data Mining Applied for Determining Stream Flow Permanence,
ISPRS20(B3:131-135).
DOI Link 2012
BibRef

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Last update:Sep 12, 2021 at 22:38:33