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Sridhar Parupalli, K. Kumari, Sreedhar Ganapuram (2018)
Assessment and planning for integrated river basin management using remote sensing, SWAT model and morphometric analysis (case study: Kaddam river basin, India)Geocarto International, 34
J. R.
Quantitative analysisNature, 45
RD Harmel, RJ Cooper, RM Slade, RL Haney, JG Arnold (2006)
Cumulative uncertainty in measured stream flow and water quality data for small watershedsTrans. Am. Soc. Agric. Eng., 49
G Schumann, G di Baldassarre, D Alsdorf, P Bates (2008)
Near real-time flood wave approximation on large rivers from space: application to the River Po ItalyWater Resour. Res.
K. Joshi, D. Jha, A. Alam, S. Srivastava, Vijay Kumar, Anil Sharma (2015)
Environmental Flow Requirements of River Sone: Impacts of Low Discharge on FisheriesCurrent Science, 107
S. Roy, Biswaranjan Mistri (2013)
Estimation of Peak Flood Discharge for an Ungauged River: A Case Study of the Kunur River, West Bengal, 2013
P. Matgen, R. Hostache, G. Schumann, L. Pfister, L. Hoffmann, H. Savenije (2011)
Towards an automated SAR-based flood monitoring system: Lessons learned from two case studiesPhysics and Chemistry of The Earth, 36
H. Piégay, F. Arnaud, B. Belletti, M. Bertrand, S. Bizzi, P. Carbonneau, S. Dufour, F. Liébault, V. Ruiz‐Villanueva, L. Slater (2020)
Remotely sensed rivers in the Anthropocene: state of the art and prospectsEarth Surface Processes and Landforms, 45
C. Koblinsky, R. Clarke, A. Brenner, H. Frey (1993)
Measurement of river level variations with satellite altimetryWater Resources Research, 29
N. Sneeuw, C. Lorenz, B. Devaraju, M. Tourian, J. Riegger, H. Kunstmann, A. Bárdossy (2014)
Estimating Runoff Using Hydro-Geodetic ApproachesSurveys in Geophysics, 35
S. Voigt, S. Martinis, H. Zwenzner, T. Hahmann, A. Twele, T. Schneiderhan (2008)
Extraction of Flood Masks Using Satellite Based Very High Resolution SAR Data for Flood Management and Modeling
Waqas Ahmad, Dongkyun Kim (2019)
Estimation of flow in various sizes of streams using the Sentinel-1 Synthetic Aperture Radar (SAR) data in Han River Basin, KoreaInt. J. Appl. Earth Obs. Geoinformation, 83
L. Smith, T. Pavelsky (2008)
Estimation of river discharge, propagation speed, and hydraulic geometry from space: Lena River, SiberiaWater Resources Research, 44
C. Vörösmarty, P. Green, J. Salisbury, R. Lammers (2000)
Global water resources: vulnerability from climate change and population growth.Science, 289 5477
D. Alsdorf, D. Lettenmaier (2003)
Geophysics. Tracking fresh water from space.Science, 301 5639
Jong-Sen Lee, E. Pottier (2009)
Polarimetric Radar Imaging: From Basics to Applications
T. Marsh (2002)
Capitalising on river flow data to meet changing national needs — a UK perspectiveFlow Measurement and Instrumentation, 13
V. Poenaru, A. Badea, S. Cîmpeanu, Anisoara Irimescu (2015)
Multi-temporal Multi-spectral and Radar Remote Sensing for Agricultural Monitoring in the Braila PlainAgriculture and Agricultural Science Procedia, 6
Yangyang Li, Cheng Peng, Yanqiao Chen, L. Jiao, Linhao Zhou, Ronghua Shang (2019)
A Deep Learning Method for Change Detection in Synthetic Aperture Radar ImagesIEEE Transactions on Geoscience and Remote Sensing, 57
G. Schumann, G. Baldassarre, D. Alsdorf, Paul Bates (2010)
Near real‐time flood wave approximation on large rivers from space: Application to the River Po, ItalyWater Resources Research, 46
Kaiqin Xu, Jiqun Zhang, Masataka Watanabe, Chunpeng Sun (2004)
Estimating river discharge from very high‐resolution satellite data: a case study in the Yangtze River, ChinaHydrological Processes, 18
P. Sridhar, Sreedhar Ganapuram (2021)
Morphometric analysis using fuzzy analytical hierarchy process (FAHP) and geographic information systems (GIS) for the prioritization of watershedsArabian Journal of Geosciences, 14
F. Filipponi (2019)
Sentinel-1 GRD Preprocessing WorkflowProceedings
A. Tarpanelli, S. Barbetta, L. Brocca, T. Moramarco (2013)
River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing ModelingRemote. Sens., 5
Zhe Sun, Juhua Luo, Jingzhi Yang, Qiuyan Yu, Li Zhang, Kun Xue, Lirong Lu (2020)
Nation-Scale Mapping of Coastal Aquaculture Ponds with Sentinel-1 SAR Data Using Google Earth EngineRemote. Sens., 12
A. Bhatt, Anandha Kumar, S. Singh (2022)
Hydro-geochemical evolution of groundwater and associated human health risk in River Sone subbasin of Middle-Gangetic floodplain, Bihar, IndiaArabian Journal of Geosciences, 15
C. Sireesha, T. Roshni, M. Jha (2020)
Insight into the precipitation behavior of gridded precipitation data in the Sina basinEnvironmental Monitoring and Assessment, 192
M. Rahman, P. Thakur (2017)
Detecting, mapping and analysing of flood water propagation using synthetic aperture radar (SAR) satellite data and GIS: A case study from the Kendrapara District of Orissa State of IndiaThe Egyptian Journal of Remote Sensing and Space Science
T. Pavelsky (2014)
Using width‐based rating curves from spatially discontinuous satellite imagery to monitor river dischargeHydrological Processes, 28
G. Baldassarre, A. Montanari (2009)
Uncertainty in river discharge observations: a quantitative analysisHydrology and Earth System Sciences, 13
JS Lee, E Pottier (2009)
10.1201/9781420054989.ch1Polarimetric Radar Imaging: From Basics to Application
Suraj Kumar, T. Roshni, Ashish Kumar, Drisya Jayakumar (2021)
GIS-Based Drought Assessment in Climate Change Context: A Case Study for Sone Command, BiharJournal of The Institution of Engineers (India): Series A, 102
A. Yvk, Marnadha, Eddy, S. C., Nehitha (2013)
A New Method for Cross-Normalization and Multi-Temporal Visualization of SAR Images for the Detection of Flooded Areas
(2003)
Tracking Fresh Water from SpaceScience, 301
M. Nishigaki (2006)
Using Synthetic Aperture Radar ( SAR ) Data for Mapping River Water Flooding in an Urban Landscape : A Case Study of Greater Dhaka , Bangladesh
L. Smith, B. Isacks, R. Forster, A. Bloom, I. Preuss (1995)
Estimation of discharge from braided glacial rivers using ERS 1 synthetic aperture radar: first resultsWater Resources Research, 31
RD Harmel (2006)
689Trans. Am. Soc. Agric. Eng., 49
I. Shapiro (1979)
The first resultsMetallurgist, 23
J. Prewitt, M. Mendelsohn (1966)
THE ANALYSIS OF CELL IMAGES *Annals of the New York Academy of Sciences, 128
R. Harmel, R. Cooper, R. Slade, R. Haney, J. Arnold (2006)
CUMULATIVE UNCERTAINTY IN MEASURED STREAMFLOW AND WATER QUALITY DATA FOR SMALL WATERSHEDSTransactions of the ASABE, 49
Dinesh Bhandari, Apichon Witayangkurn, R. Shibasaki, M. Rahman (2018)
Estimation of Origin-Destination using Mobile Phone Call Data: A Case Study of Greater Dhaka, Bangladesh2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS)
D. Alexakis, Filippos-Dimitrios Mexis, A. Vozinaki, I. Daliakopoulos, I. Tsanis (2017)
Soil Moisture Content Estimation Based on Sentinel-1 and Auxiliary Earth Observation Products. A Hydrological ApproachSensors (Basel, Switzerland), 17
The purpose of this paper is to establish relationships between stream flow and extracted water surface area for Koelwar, Indrapuri U/s and D/s gauging stations of the Sone River, Bihar. To build and validate the models, a collection of ESA Sentinel-1A high resolution multi-temporal SAR images from the European Space Agency and observed stream flow data from the Central Water Commission were acquired for three gauging stations. For the analysis, the threshold intensity of 13.8 dB is selected as an optimum value for the delineation of the water surface area with an R-value of 0.826. A power-law relationship between the series of water areas and the corresponding river discharge was established for three selected gauging sites and the performances of the developed models were compared with NSE and RMSE indices. A clear relationship is developed for all three-gauge stations out of which one is hindered with hydraulic structure (Indrapuri D/s). The NSE ranges from 0.844 to 0.909 during calibration period, 0.869–0.995 during testing period and 0.617–0.979 during validation period for the three selected gauging stations. The RMSE values also show very promising results. It is suggested from the results that SAR images can be a better alternative for hydrological analysis.
Journal of The Institution of Engineers (India):Series A – Springer Journals
Published: Dec 1, 2022
Keywords: River discharge; Water area; Sentinel-1A; SAR; NSE
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