265 citations as recorded by crossref.

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11. Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan A. Tariq et al. 10.3390/f12101371
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19. The last two decades of computer vision technologies in water resource management: A bibliometric analysis U. Iqbal et al. 10.1111/wej.12845
20. The potential of Sentinel-1 imagery for flood event detection: A satellite vs. hydraulic model comparison J. Breznik et al. 10.1016/j.jhydrol.2024.132587
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23. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact S. Van Ackere et al. 10.3390/w11112275
24. Flood period estimation using multi-sensor satellite data: Case study on Punjab floods 2023 Y. Bhageerath et al. 10.1007/s12040-024-02499-6
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26. The International Charter ‘Space and Major Disasters’: DLR’s Contributions to Emergency Response Worldwide S. Martinis et al. 10.1007/s41064-017-0032-1
27. Automatic Open Water Flood Detection from Sentinel-1 Multi-Temporal Imagery I. Hlaváčová et al. 10.3390/w13233392
28. Estimation of flood inundation in river basins of Uttar Pradesh using Sentinel 1A-SAR data on Sentinel Application Platform (SNAP) P. Gautam et al. 10.1007/s12517-024-11910-x
29. Deep Learning-Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing J. Kim et al. 10.3390/rs14246373
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31. Enhancing precision of flood estimation in EOS-04 SAR imagery: a statistical approach Y. Bhageerath et al. 10.1080/19475705.2024.2413910
32. 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
33. Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster L. Wan et al. 10.1080/01431161.2019.1577999
34. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. 10.3390/rs10020217
35. Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion Y. Li et al. 10.3390/rs11192231
36. Flood Inundation Distribution In Lamongan Regency Using Sentinel-1 SAR Data And Automatic Water-S1 Method L. Azizah et al. 10.1088/1755-1315/1418/1/012052
37. The use of remote sensing to characterise hydromorphological properties of European rivers S. Bizzi et al. 10.1007/s00027-015-0430-7
38. An automatic method for mapping inland surface waterbodies with Radarsat-2 imagery J. Li & S. Wang 10.1080/01431161.2015.1009653
39. A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case J. Zhao et al. 10.1016/j.rse.2021.112338
40. A fully automated TerraSAR-X based flood service S. Martinis et al. 10.1016/j.isprsjprs.2014.07.014
41. Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations E. Oliveira et al. 10.3390/rs11111305
42. Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan M. Zhang et al. 10.3390/su12145784
43. On the Exploitation of Remote Sensing Technologies for the Monitoring of Coastal and River Delta Regions Q. Zhao et al. 10.3390/rs14102384
44. Detecting Flooded Areas Using Sentinel-1 SAR Imagery F. Alonso-Sarria et al. 10.3390/rs17081368
45. Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images C. Cazals et al. 10.3390/rs8070570
46. Operational Surface Water Detection and Monitoring Using Radarsat 2 S. Bolanos et al. 10.3390/rs8040285
47. Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands A. Hardy et al. 10.3390/rs12071182
48. A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance M. Thomas et al. 10.1109/JSTARS.2023.3244098
49. Enabling the Use of Earth Observation Data for Integrated Water Resource Management in Africa with the Water Observation and Information System R. Guzinski et al. 10.3390/rs6087819
50. Extracting urban water bodies from high-resolution radar images: Measuring the urban surface morphology to control for radar’s double-bounce effect H. Liao & T. Wen 10.1016/j.jag.2019.102003
51. Flood Forecasting in Large River Basins Using FOSS Tool and HPC U. Dutta et al. 10.3390/w13243484
52. Automatic Extraction of Water Inundation Areas Using Sentinel-1 Data for Large Plain Areas S. Hu et al. 10.3390/rs12020243
53. Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data S. Schlaffer & M. Schlögl 10.1109/JSTARS.2024.3423403
54. Probabilistic mapping of flood-induced backscatter changes in SAR time series S. Schlaffer et al. 10.1016/j.jag.2016.12.003
55. Extreme rainfall-induced urban flood monitoring and damage assessment in Wuhan (China) and Kumamoto (Japan) cities using Google Earth Engine A. Pandey et al. 10.1007/s10661-022-10076-x
56. 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
57. Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series T. Bangira et al. 10.1109/JSTARS.2021.3083517
58. A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery J. Liang & D. Liu 10.1016/j.isprsjprs.2019.10.017
59. Where is my attention? An explainable AI exploration in water detection from SAR imagery L. Chen et al. 10.1016/j.jag.2024.103878
60. Flood Mapping With TerraSAR-X in Forested Regions in Estonia K. Voormansik et al. 10.1109/JSTARS.2013.2283340
61. Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences A. Gain et al. 10.5194/nhess-22-985-2022
62. Integration of SAR and multi-spectral imagery in flood inundation mapping – a case study on Kerala floods 2018 J. Jacinth Jennifer et al. 10.1080/09715010.2020.1791265
63. Flood Monitoring by Integrating Normalized Difference Flood Index and Probability Distribution of Water Bodies F. Xue et al. 10.1109/JSTARS.2022.3176388
64. A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data E. Pedzisai et al. 10.1016/j.heliyon.2023.e13332
65. A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness J. Eudaric et al. 10.1038/s41598-024-69977-1
66. Flood Extent Mapping from Time-Series SAR Images Based on Texture Analysis and Data Fusion M. Ouled Sghaier et al. 10.3390/rs10020237
67. The Synergistic Use of RADARSAT-2 Ascending and Descending Images to Improve Surface Water Detection Accuracy in Alberta, Canada E. DeLancey et al. 10.1080/07038992.2019.1691516
68. Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning X. Jiang et al. 10.1016/j.isprsjprs.2021.05.019
69. Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data L. Giustarini et al. 10.3390/rs71014200
70. Review article: Detection of inundation areas due to the 2015 Kanto and Tohoku torrential rain in Japan based on multi-temporal ALOS-2 imagery W. Liu & F. Yamazaki 10.5194/nhess-18-1905-2018
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76. Inland Surface Waters Quantity Monitored from Remote Sensing J. Cretaux et al. 10.1007/s10712-023-09803-x
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79. A Self-Adaptive Thresholding Approach for Automatic Water Extraction Using Sentinel-1 SAR Imagery Based on OTSU Algorithm and Distance Block J. Tan et al. 10.3390/rs15102690
80. Towards Operational Flood Monitoring in Flanders Using Sentinel-1 L. Landuyt et al. 10.1109/JSTARS.2021.3121992
81. Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es Salaam B. Demissie et al. 10.1080/19475705.2023.2202296
82. A Novel Fully Automated Mapping of the Flood Extent on SAR Images Using a Supervised Classifier A. Benoudjit & R. Guida 10.3390/rs11070779
83. Identifying the effect of monsoon floods on vegetation and land surface temperature by using Google Earth Engine S. Rahaman & N. Shermin 10.1016/j.uclim.2022.101162
84. Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation L. Pulvirenti et al. 10.1016/j.rse.2010.12.002
85. Observing floods from space: Experience gained from COSMO-SkyMed observations N. Pierdicca et al. 10.1016/j.actaastro.2012.10.034
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87. Flood Area Detection Using PALSAR-2 Amplitude and Coherence Data: The Case of the 2015 Heavy Rainfall in Japan M. Ohki et al. 10.1109/JSTARS.2019.2911596
88. Monitoring River Basin Development and Variation in Water Resources in Transboundary Imjin River in North and South Korea Using Remote Sensing D. Kim et al. 10.3390/rs12010195
89. 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
90. RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1 G. Oakes et al. 10.3390/rs15061705
91. A synergetic use of satellite imagery from SAR and optical sensors to improve coastal flood mapping in the Gulf of Mexico N. Chaouch et al. 10.1002/hyp.8268
92. Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery E. Nemni et al. 10.3390/rs12162532
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94. Multiscale framework for rapid change analysis from SAR image time series: Case study of flood monitoring in the central coast regions of Vietnam T. Lê et al. 10.1016/j.rse.2021.112837
95. Extraction and Classification of Flood-Affected Areas Based on MRF and Deep Learning J. Wang et al. 10.3390/w15071288
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103. L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates Z. Kugler et al. 10.3390/rs11070835
104. Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood J. Qiu et al. 10.3390/rs14153707
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132. Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston F. Brill et al. 10.3390/rs13112042
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