293 citations as recorded by crossref.

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12. Assessing Burned Areas in Wildfires and Prescribed Fires with Spectral Indices and SAR Images in the Margalla Hills of Pakistan A. Tariq et al. https://doi.org/10.3390/f12101371
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22. SAR-Based Flood Extent Mapping with a Lightweight Siamese U-Net and Differential Attention Mechanism A. Kaçmaz & U. Alganci https://doi.org/10.3390/earth7030087
23. Evaluation of Automated Water Surface Extraction Using Multi-Source Remote Sensing Data: A Case Study of the Veľká Domaša Reservoir, Slovakia Ľ. Kseňak et al. https://doi.org/10.3390/rs18040545
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26. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact S. Van Ackere et al. https://doi.org/10.3390/w11112275
27. Flood period estimation using multi-sensor satellite data: Case study on Punjab floods 2023 Y. Bhageerath et al. https://doi.org/10.1007/s12040-024-02499-6
28. A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet Y. Zhang et al. https://doi.org/10.1080/17538947.2023.2230978
29. The International Charter ‘Space and Major Disasters’: DLR’s Contributions to Emergency Response Worldwide S. Martinis et al. https://doi.org/10.1007/s41064-017-0032-1
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32. Assessing Flood Vulnerability of Landfills in Southern New Jersey: Incorporating Climate Change and Extreme Weather Impacts R. Chowdhury et al. https://doi.org/10.3390/w18091085
33. Deep Learning-Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing J. Kim et al. https://doi.org/10.3390/rs14246373
34. Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data J. Jung et al. https://doi.org/10.1016/j.rse.2026.115326
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37. Flood Monitoring Based on the Study of Sentinel-1 SAR Images: The Ebro River Case Study F. Carreño Conde & M. De Mata Muñoz https://doi.org/10.3390/w11122454
38. Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster L. Wan et al. https://doi.org/10.1080/01431161.2019.1577999
39. A novel spectral and phenological composite index for the early automatic mapping of potatoes from Sentinel-2 multi-temporal images L. Wang et al. https://doi.org/10.1016/j.compag.2026.111459
40. Assessing seasonal dynamics of surface water using multitemporal SAR data M. Islam et al. https://doi.org/10.1007/s12518-026-00709-y
41. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al. https://doi.org/10.3390/rs10020217
42. Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion Y. Li et al. https://doi.org/10.3390/rs11192231
43. Flood Inundation Distribution In Lamongan Regency Using Sentinel-1 SAR Data And Automatic Water-S1 Method L. Azizah et al. https://doi.org/10.1088/1755-1315/1418/1/012052
44. Self-Supervised Reservoir Water Area Detection Across Multi-Source Optical Imagery G. Mo et al. https://doi.org/10.3390/rs18060918
45. The use of remote sensing to characterise hydromorphological properties of European rivers S. Bizzi et al. https://doi.org/10.1007/s00027-015-0430-7
46. An automatic method for mapping inland surface waterbodies with Radarsat-2 imagery J. Li & S. Wang https://doi.org/10.1080/01431161.2015.1009653
47. SAR-based flood detection and different ensemble boosting techniques for multi-factor flood susceptibility modelling: a case study in Uttar Dinajpur, West Bengal, India P. Mitra et al. https://doi.org/10.1007/s11069-026-08171-0
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50. Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations E. Oliveira et al. https://doi.org/10.3390/rs11111305
51. Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan M. Zhang et al. https://doi.org/10.3390/su12145784
52. On the Exploitation of Remote Sensing Technologies for the Monitoring of Coastal and River Delta Regions Q. Zhao et al. https://doi.org/10.3390/rs14102384
53. Detecting Flooded Areas Using Sentinel-1 SAR Imagery F. Alonso-Sarria et al. https://doi.org/10.3390/rs17081368
54. Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images C. Cazals et al. https://doi.org/10.3390/rs8070570
55. Operational Surface Water Detection and Monitoring Using Radarsat 2 S. Bolanos et al. https://doi.org/10.3390/rs8040285
56. Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands A. Hardy et al. https://doi.org/10.3390/rs12071182
57. A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance M. Thomas et al. https://doi.org/10.1109/JSTARS.2023.3244098
58. 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. https://doi.org/10.3390/rs6087819
59. 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 https://doi.org/10.1016/j.jag.2019.102003
60. Flood Forecasting in Large River Basins Using FOSS Tool and HPC U. Dutta et al. https://doi.org/10.3390/w13243484
61. Automatic Extraction of Water Inundation Areas Using Sentinel-1 Data for Large Plain Areas S. Hu et al. https://doi.org/10.3390/rs12020243
62. Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data S. Schlaffer & M. Schlögl https://doi.org/10.1109/JSTARS.2024.3423403
63. Probabilistic mapping of flood-induced backscatter changes in SAR time series S. Schlaffer et al. https://doi.org/10.1016/j.jag.2016.12.003
64. Extreme rainfall-induced urban flood monitoring and damage assessment in Wuhan (China) and Kumamoto (Japan) cities using Google Earth Engine A. Pandey et al. https://doi.org/10.1007/s10661-022-10076-x
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66. Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series T. Bangira et al. https://doi.org/10.1109/JSTARS.2021.3083517
67. A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery J. Liang & D. Liu https://doi.org/10.1016/j.isprsjprs.2019.10.017
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69. Flood Mapping With TerraSAR-X in Forested Regions in Estonia K. Voormansik et al. https://doi.org/10.1109/JSTARS.2013.2283340
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71. Integration of SAR and multi-spectral imagery in flood inundation mapping – a case study on Kerala floods 2018 J. Jacinth Jennifer et al. https://doi.org/10.1080/09715010.2020.1791265
72. On Flood Detection Using Dual-Polarimetric SAR Observation S. Kim et al. https://doi.org/10.3390/rs17111931
73. Flood Monitoring by Integrating Normalized Difference Flood Index and Probability Distribution of Water Bodies F. Xue et al. https://doi.org/10.1109/JSTARS.2022.3176388
74. A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data E. Pedzisai et al. https://doi.org/10.1016/j.heliyon.2023.e13332
75. A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness J. Eudaric et al. https://doi.org/10.1038/s41598-024-69977-1
76. Flood Extent Mapping from Time-Series SAR Images Based on Texture Analysis and Data Fusion M. Ouled Sghaier et al. https://doi.org/10.3390/rs10020237
77. The Synergistic Use of RADARSAT-2 Ascending and Descending Images to Improve Surface Water Detection Accuracy in Alberta, Canada E. DeLancey et al. https://doi.org/10.1080/07038992.2019.1691516
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115. L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates Z. Kugler et al. https://doi.org/10.3390/rs11070835
116. Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood J. Qiu et al. https://doi.org/10.3390/rs14153707
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