23.2.2.2.5 River Discharge Measurement, River Flow

Chapter Contents (Back)
Hydrological Analysis. River Discharge.

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.[Zhidan],
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
BibRef

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
BibRef

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
BibRef

Mejía-Veintimilla, D.[Diego], Ochoa-Cueva, P.[Pablo], Samaniego-Rojas, N.[Natalia], Félix, R.[Ricardo], Arteaga, J.[Juan], Crespo, P.[Patricio], Oñate-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
BibRef

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.[Zhidan],
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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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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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