114 citations as recorded by crossref.

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9. Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon L. Moya et al. 10.3390/rs12142244
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19. Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany S. Martinis & C. Rieke 10.3390/rs70607732
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22. Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series S. Schlaffer et al. 10.5194/hess-26-841-2022
23. Object-Based Flood Analysis Using a Graph-Based Representation B. Debusscher & F. Van Coillie 10.3390/rs11161883
24. Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping J. Zhao et al. 10.1016/j.rse.2021.112668
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26. A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case M. Chini et al. 10.1109/TGRS.2017.2737664
27. An Intercomparison of Sentinel-1 Based Change Detection Algorithms for Flood Mapping M. Tupas et al. 10.3390/rs15051200
28. River Delineation from Remotely Sensed Imagery Using a Multi-Scale Classification Approach K. Yang et al. 10.1109/JSTARS.2014.2309707
29. Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges S. Grimaldi et al. 10.1007/s10712-016-9378-y
30. The Pakistan Flood of August 2022: Causes and Implications J. Nanditha et al. 10.1029/2022EF003230
31. Unlocking the full potential of Earth observation during the 2015 Texas flood disaster G. Schumann et al. 10.1002/2015WR018428
32. Repeated Hurricanes Reveal Risks and Opportunities for Social-Ecological Resilience to Flooding and Water Quality Problems D. Schaffer-Smith et al. 10.1021/acs.est.9b07815
33. Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aided by Google Earth Engine A. Gulácsi & F. Kovács 10.3390/rs12101614
34. Flood risk assessment in the Kosi megafan using multi-criteria decision analysis: A hydro-geomorphic approach K. Mishra & R. Sinha 10.1016/j.geomorph.2019.106861
35. Potential of Two SAR-Based Flood Mapping Approaches in Supporting an Integrated 1D/2D HEC-RAS Model I. Zotou et al. 10.3390/w14244020
36. Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain M. Bereczky et al. 10.1109/JSTARS.2022.3152127
37. Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference M. Tupas et al. 10.3390/w15234034
38. Surface water maps de-noising and missing-data filling using determinist spatial filters based on several a priori information F. Aires 10.1016/j.rse.2019.111481
39. Automatic Features Detection in a Fluvial Environment through Machine Learning Techniques Based on UAVs Multispectral Data E. Pontoglio et al. 10.3390/rs13193983
40. A Comparison of Terrain Indices toward Their Ability in Assisting Surface Water Mapping from Sentinel-1 Data C. Huang et al. 10.3390/ijgi6050140
41. Inundation Assessment of the 2019 Typhoon Hagibis in Japan Using Multi-Temporal Sentinel-1 Intensity Images W. Liu et al. 10.3390/rs13040639
42. Pakistan's 2022 floods: Spatial distribution, causes and future trends from Sentinel-1 SAR observations F. Chen et al. 10.1016/j.rse.2024.114055
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44. Probabilistic Flood Mapping Using Synthetic Aperture Radar Data L. Giustarini et al. 10.1109/TGRS.2016.2592951
45. A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001–2016) for Flood Hazard Mapping in Sri Lanka N. Alahacoon et al. 10.3390/rs10030448
46. Flood Monitoring Based on the Study of Sentinel-1 SAR Images: The Ebro River Case Study F. Carreño Conde & M. De Mata Muñoz 10.3390/w11122454
47. Development of an Automated Tool for Delineation of Flood Footprints from SAR Imagery for Rapid Disaster Response: A Case Study S. Kuntla & P. Manjusree 10.1007/s12524-020-01125-4
48. Utilising Sentinel-1’s orbital stability for efficient pre-processing of sigma nought backscatter C. Navacchi et al. 10.1016/j.isprsjprs.2022.07.023
49. Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube B. Bauer-Marschallinger et al. 10.3390/rs14153673
50. Sentinel-1-based flood mapping: a fully automated processing chain A. Twele et al. 10.1080/01431161.2016.1192304
51. The Global Water Body Layer from TanDEM-X Interferometric SAR Data J. Bueso-Bello et al. 10.3390/rs13245069
52. Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps D. Mason et al. 10.3390/w13111577
53. Weekly mapping of surface water extent in the intertropical wetlands using spaceborne GNSS reflectometry P. Zeiger et al. 10.1016/j.jhydrol.2023.130305
54. Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine K. Markert et al. 10.3390/rs12152469
55. Limitations Posed by Free DEMs in Watershed Studies: The Case of River Tanaro in Italy R. Tavares da Costa et al. 10.3389/feart.2019.00141
56. Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution F. Aires et al. 10.1016/j.rse.2018.06.015
57. The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas S. Martinis et al. 10.3390/rs10040583
58. Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania M. Popa et al. 10.3390/w11102116
59. Water Area Extraction and Water Level Prediction of Dongting Lake Based on Sentinel-1 Dual-Polarization Data Decomposition Q. Song et al. 10.3390/rs15194655
60. Hazard Assessments of Riverbank Flooding and Backward Flows in Dike-Through Drainage Ditches during Moderate Frequent Flooding Events in the Ningxia Reach of the Upper Yellow River (NRYR) F. Tian et al. 10.3390/w11071477
61. Application of Gated Recurrent Unit Neural Network for Flood Extraction from Synthetic Aperture Radar Time Series M. Zhang et al. 10.3390/w15213779
62. A review of low‐cost space‐borne data for flood modelling: topography, flood extent and water level K. Yan et al. 10.1002/hyp.10449
63. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping F. Bioresita et al. 10.1080/01431161.2019.1624869
64. Potential of SAR-Derived Flood Maps for Hydrodynamic Model Calibration in Data Scarce Regions A. Dasgupta et al. 10.1061/(ASCE)HE.1943-5584.0001988
65. Monitoring of the Spatio-Temporal Dynamics of the Floods in the Guayas Watershed (Ecuadorian Pacific Coast) Using Global Monitoring ENVISAT ASAR Images and Rainfall Data F. Frappart et al. 10.3390/w9010012
66. A MODIS-based automated flood monitoring system for southeast asia A. Ahamed & J. Bolten 10.1016/j.jag.2017.05.006
67. An Efficient Global Scale Sentinel-1 Radar Backscatter and Interferometric Processing System P. Agram et al. 10.3390/rs14153524
68. Automated Extraction of Surface Water Extent from Sentinel-1 Data W. Huang et al. 10.3390/rs10050797
69. Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data R. Sharma et al. 10.3390/rs71013807
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72. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. 10.3390/rs10020217
73. A Collection of SAR Methodologies for Monitoring Wetlands L. White et al. 10.3390/rs70607615
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75. A global multimodal flood event dataset with heterogeneous text and multi-source remote sensing images Z. Zhang et al. 10.1080/20964471.2024.2358615
76. Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived Products to Measure Ecological Changes in Relation to Climate—Lessons from Temperate Wetland-Upland Landscapes A. Gallant et al. 10.3390/s18030880
77. Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images Z. Wang et al. 10.3390/rs14143473
78. High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks R. Colacicco et al. 10.3390/rs16020294
79. A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery T. McCormack et al. 10.1016/j.rse.2022.113273
80. Microwave remote sensing of flood inundation G. Schumann & D. Moller 10.1016/j.pce.2015.05.002
81. Locating flood embankments using SAR time series: A proof of concept M. Wood et al. 10.1016/j.jag.2018.04.003
82. A web application for hydrogeomorphic flood hazard mapping R. Tavares da Costa et al. 10.1016/j.envsoft.2019.04.010
83. Predictive Modeling of Envelope Flood Extents Using Geomorphic and Climatic‐Hydrologic Catchment Characteristics R. Tavares da Costa et al. 10.1029/2019WR026453
84. Assessment of spatial–temporal changes in water bodies and its influencing factors using remote sensing and GIS – a model study in the southeast coast of India S. Thirumurthy et al. 10.1007/s10661-022-10228-z
85. Flood mapping under vegetation using single SAR acquisitions S. Grimaldi et al. 10.1016/j.rse.2019.111582
86. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
87. Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine B. DeVries et al. 10.1016/j.rse.2020.111664
88. Remote Sensing of Environmental Drivers Influencing the Movement Ecology of Sympatric Wild and Domestic Ungulates in Semi-Arid Savannas, a Review F. Rumiano et al. 10.3390/rs12193218
89. Inland Water Body Mapping Using CYGNSS Coherence Detection M. Al-Khaldi et al. 10.1109/TGRS.2020.3047075
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91. Automatic Surface Water Mapping Using Polarimetric SAR Data for Long-Term Change Detection W. Zhang et al. 10.3390/w12030872
92. Automatic Detection of Open and Vegetated Water Bodies Using Sentinel 1 to Map African Malaria Vector Mosquito Breeding Habitats A. Hardy et al. 10.3390/rs11050593
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98. Country‐wide flood exposure analysis using Sentinel‐1 synthetic aperture radar data: Case study of 2019 Iran flood S. Sherpa & M. Shirzaei 10.1111/jfr3.12770
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105. Incorporation of Satellite Data and Uncertainty in a Nationwide Groundwater Recharge Model in New Zealand R. Westerhoff et al. 10.3390/rs10010058
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108. Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches L. Landuyt et al. 10.1109/TGRS.2018.2860054
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