288 citations as recorded by crossref.

1. Flood Detection with SAR: A Review of Techniques and Datasets D. Amitrano et al.
2. Drone-Based Water Level Detection in Flood Disasters H. Rizk et al.
3. Surface Water Mapping from SAR Images Using Optimal Threshold Selection Method and Reference Water Mask O. Kavats et al.
4. Flood mapping in SAR images via threshold segmentation with hydrological-hydrodynamic modeling Z. Li et al.
5. Sentinel-1-based flood mapping: a fully automated processing chain A. Twele et al.
6. Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar X. Shen et al.
7. Application of Gated Recurrent Unit Neural Network for Flood Extraction from Synthetic Aperture Radar Time Series M. Zhang et al.
8. A review of low‐cost space‐borne data for flood modelling: topography, flood extent and water level K. Yan et al.
9. Mapping and assessing spatial extent of floods from multitemporal synthetic aperture radar images: a case study on Brahmaputra River in Assam State, India S. Surampudi & K. Yarrakula
10. A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery T. McCormack et al.
11. Estimation of Flood Inundation and Depth During Hurricane Florence Using Sentinel-1 and UAVSAR Data S. Kundu et al.
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.
13. OBIA Flood Delimitation Assisted by Threshold Determination with Principal Component Analysis D. Roque et al.
14. Automatic procedures analyzing remote sensing data to minimize flood response time: a step towards National flood mapping service V. Sharma et al.
15. Monitoring Flood Evolution in Vegetated Areas Using COSMO-SkyMed Data: The Tuscany 2009 Case Study L. Pulvirenti et al.
16. Evaluating the impact of flood inundation with the cloud computing platform over vegetation cover of Ganga Basin during COVID-19 S. Ghosh et al.
17. Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine V. Tiwari et al.
18. Earth observation data based rapid flood-extent modelling for tsunami-devastated coastal areas S. Hese & T. Heyer
19. Brief communication: Hurricane Dorian: automated near-real-time mapping of the “unprecedented” flooding in the Bahamas using synthetic aperture radar D. Cerrai et al.
20. The last two decades of computer vision technologies in water resource management: A bibliometric analysis U. Iqbal et al.
21. The potential of Sentinel-1 imagery for flood event detection: A satellite vs. hydraulic model comparison J. Breznik et al.
22. 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.
23. Flood mapping under vegetation using single SAR acquisitions S. Grimaldi et al.
24. Towards developing comparable optical and SAR remote sensing inundation mapping with hydrodynamic modelling C. Ticehurst & F. Karim
25. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact S. Van Ackere et al.
26. Flood period estimation using multi-sensor satellite data: Case study on Punjab floods 2023 Y. Bhageerath et al.
27. A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet Y. Zhang et al.
28. The International Charter ‘Space and Major Disasters’: DLR’s Contributions to Emergency Response Worldwide S. Martinis et al.
29. Automatic Open Water Flood Detection from Sentinel-1 Multi-Temporal Imagery I. Hlaváčová et al.
30. Estimation of flood inundation in river basins of Uttar Pradesh using Sentinel 1A-SAR data on Sentinel Application Platform (SNAP) P. Gautam et al.
31. Assessing Flood Vulnerability of Landfills in Southern New Jersey: Incorporating Climate Change and Extreme Weather Impacts R. Chowdhury et al.
32. Deep Learning-Based Flood Area Extraction for Fully Automated and Persistent Flood Monitoring Using Cloud Computing J. Kim et al.
33. Towards global mapping of dynamic surface water extents using Sentinel-1 SAR data J. Jung et al.
34. Microwave remote sensing of flood inundation G. Schumann & D. Moller
35. Enhancing precision of flood estimation in EOS-04 SAR imagery: a statistical approach Y. Bhageerath et al.
36. Flood Monitoring Based on the Study of Sentinel-1 SAR Images: The Ebro River Case Study F. Carreño Conde & M. De Mata Muñoz
37. Automatic extraction of flood inundation areas from SAR images: a case study of Jilin, China during the 2017 flood disaster L. Wan et al.
38. A novel spectral and phenological composite index for the early automatic mapping of potatoes from Sentinel-2 multi-temporal images L. Wang et al.
39. Assessing seasonal dynamics of surface water using multitemporal SAR data M. Islam et al.
40. A Method for Automatic and Rapid Mapping of Water Surfaces from Sentinel-1 Imagery F. Bioresita et al.
41. Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion Y. Li et al.
42. Flood Inundation Distribution In Lamongan Regency Using Sentinel-1 SAR Data And Automatic Water-S1 Method L. Azizah et al.
43. Self-Supervised Reservoir Water Area Detection Across Multi-Source Optical Imagery G. Mo et al.
44. The use of remote sensing to characterise hydromorphological properties of European rivers S. Bizzi et al.
45. An automatic method for mapping inland surface waterbodies with Radarsat-2 imagery J. Li & S. Wang
46. A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case J. Zhao et al.
47. A fully automated TerraSAR-X based flood service S. Martinis et al.
48. Multi-Index Image Differencing Method (MINDED) for Flood Extent Estimations E. Oliveira et al.
49. Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan M. Zhang et al.
50. On the Exploitation of Remote Sensing Technologies for the Monitoring of Coastal and River Delta Regions Q. Zhao et al.
51. Detecting Flooded Areas Using Sentinel-1 SAR Imagery F. Alonso-Sarria et al.
52. Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images C. Cazals et al.
53. Operational Surface Water Detection and Monitoring Using Radarsat 2 S. Bolanos et al.
54. Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands A. Hardy et al.
55. A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance M. Thomas et al.
56. 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.
57. 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
58. Flood Forecasting in Large River Basins Using FOSS Tool and HPC U. Dutta et al.
59. Automatic Extraction of Water Inundation Areas Using Sentinel-1 Data for Large Plain Areas S. Hu et al.
60. Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data S. Schlaffer & M. Schlögl
61. Probabilistic mapping of flood-induced backscatter changes in SAR time series S. Schlaffer et al.
62. Extreme rainfall-induced urban flood monitoring and damage assessment in Wuhan (China) and Kumamoto (Japan) cities using Google Earth Engine A. Pandey et al.
63. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping F. Bioresita et al.
64. Flood Extent Mapping in the Caprivi Floodplain Using Sentinel-1 Time Series T. Bangira et al.
65. A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery J. Liang & D. Liu
66. Where is my attention? An explainable AI exploration in water detection from SAR imagery L. Chen et al.
67. Flood Mapping With TerraSAR-X in Forested Regions in Estonia K. Voormansik et al.
68. Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences A. Gain et al.
69. Integration of SAR and multi-spectral imagery in flood inundation mapping – a case study on Kerala floods 2018 J. Jacinth Jennifer et al.
70. On Flood Detection Using Dual-Polarimetric SAR Observation S. Kim et al.
71. Flood Monitoring by Integrating Normalized Difference Flood Index and Probability Distribution of Water Bodies F. Xue et al.
72. A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data E. Pedzisai et al.
73. A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness J. Eudaric et al.
74. Flood Extent Mapping from Time-Series SAR Images Based on Texture Analysis and Data Fusion M. Ouled Sghaier et al.
75. The Synergistic Use of RADARSAT-2 Ascending and Descending Images to Improve Surface Water Detection Accuracy in Alberta, Canada E. DeLancey et al.
76. Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning X. Jiang et al.
77. Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data L. Giustarini et al.
78. 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
79. Operational Flood Detection Using Sentinel-1 SAR Data over Large Areas H. Cao et al.
80. Inundation Extent Mapping by Synthetic Aperture Radar: A Review X. Shen et al.
81. A review of remote sensing applications for water security: Quantity, quality, and extremes I. Chawla et al.
82. Discrimination of Water Surfaces, Heavy Rainfall, and Wet Snow Using COSMO-SkyMed Observations of Severe Weather Events L. Pulvirenti et al.
83. Sentetik Açıklıklı Radar verilerinin Taşkın Çalışmalarında Kullanılması: Berdan Ovası Taşkını M. AKGÜL
84. Inland Surface Waters Quantity Monitored from Remote Sensing J. Cretaux et al.
85. Progress in operational flood mapping using satellite synthetic aperture radar (SAR) and airborne light detection and ranging (LiDAR) data K. Brown et al.
86. Near-Real-Time Flood Mapping Using Off-the-Shelf Models with SAR Imagery and Deep Learning V. Katiyar et al.
87. 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.
88. Towards Operational Flood Monitoring in Flanders Using Sentinel-1 L. Landuyt et al.
89. 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.
90. A Novel Fully Automated Mapping of the Flood Extent on SAR Images Using a Supervised Classifier A. Benoudjit & R. Guida
91. Identifying the effect of monsoon floods on vegetation and land surface temperature by using Google Earth Engine S. Rahaman & N. Shermin
92. Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation L. Pulvirenti et al.
93. Observing floods from space: Experience gained from COSMO-SkyMed observations N. Pierdicca et al.
94. Flood depth estimation by means of high-resolution SAR images and lidar data F. Cian et al.
95. Flood Area Detection Using PALSAR-2 Amplitude and Coherence Data: The Case of the 2015 Heavy Rainfall in Japan M. Ohki et al.
96. 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.
97. 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.
98. RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1 G. Oakes et al.
99. 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.
100. Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery E. Nemni et al.
101. Flooding Water Depth Estimation With High-Resolution SAR P. Iervolino et al.
102. 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.
103. Extraction and Classification of Flood-Affected Areas Based on MRF and Deep Learning J. Wang et al.
104. Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis Y. Xia et al.
105. Hydrologic regime dynamics and driving factors of Anglaren Co on the Tibetan Plateau based on multi-source remote sensing data D. Huang et al.
106. Automatic flood detection using sentinel-1 images on the google earth engine M. Moharrami et al.
107. Beyond Major Floods: Deep Learning for Detecting Shallow Water Inundation in Agricultural Areas P. Konrad et al.
108. Robust algorithm for detecting floodwater in urban areas using synthetic aperture radar images D. Mason et al.
109. Flood Inundation Probability Estimation by Integrating Physical and Social Sensing Data: Case Study of 2021 Heavy Rainfall in Henan, China W. Du et al.
110. Detecting areas affected by flood using multi-temporal ALOS PALSAR remotely sensed data in Karawang, West Java, Indonesia F. Yulianto et al.
111. Remote Sensing of River Delta Inundation: Exploiting the Potential of Coarse Spatial Resolution, Temporally-Dense MODIS Time Series C. Kuenzer et al.
112. Assimilating SAR-derived water level data into a hydraulic model: a case study L. Giustarini et al.
113. L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates Z. Kugler et al.
114. Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood J. Qiu et al.
115. Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm S. Yang et al.
116. Distilling Intelligence from Space: Lightweight Deep Learning for SAR-Based Flood Monitoring P. Thongsang et al.
117. Mapping Flooded Vegetation Using COSMO-SkyMed: Comparison With Polarimetric and Optical Data Over Rice Fields N. Pierdicca et al.
118. An Automatic Processing Chain for Near Real-Time Mapping of Burned Forest Areas Using Sentinel-2 Data L. Pulvirenti et al.
119. Flood Damage Assessment Through Multitemporal COSMO-SkyMed Data and Hydrodynamic Models: The Albania 2010 Case Study L. Pulvirenti et al.
120. A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data A. D'Addabbo et al.
121. The accuracy of sequential aerial photography and SAR data for observing urban flood dynamics, a case study of the UK summer 2007 floods G. Schumann et al.
122. Deep Learning Ensemble for Flood Probability Analysis F. Sseguya & K. Jun
123. A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case M. Chini et al.
124. River flood mapping in urban areas combining Radarsat-2 data and flood return period data M. Tanguy et al.
125. RadWet-L: A Novel Approach for Mapping of Inundation Dynamics of Forested Wetlands Using ALOS-2 PALSAR-2 L-Band Radar Imagery G. Oakes et al.
126. The Use of C-Band and X-Band SAR with Machine Learning for Detecting Small-Scale Mining G. Janse van Rensburg & J. Kemp
127. Resilience to unusual flooding after 2021 tropical storms in part of mainland Southeast Asia P. Wattanachareekul et al.
128. Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery Z. Zeng et al.
129. AI-based flood mapping from high-resolution ASNARO-2 images: case study of a severe event in the Center of Vietnam N. Quang et al.
130. Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps D. Mason et al.
131. An integrated data-driven approach using dual polarized SAR data for spatiotemporal analysis of water surface changes S. Bagheri et al.
132. Automatic boosted flood mapping from satellite data B. Coltin et al.
133. Adaptive water delineation algorithms for L- and C-band SAR imagery: a comparative analysis A. Gujrati et al.
134. Flood inundation modelling: A review of methods, recent advances and uncertainty analysis J. Teng et al.
135. Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images D. Amitrano et al.
136. The agricultural impact of the 2015–2016 floods in Ireland as mapped through Sentinel 1 satellite imagery R. O’Hara et al.
137. Optimized Rule-Based Flood Mapping Technique Using Multitemporal RADARSAT-2 Images in the Tropical Region B. Pradhan et al.
138. Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images D. Mason et al.
139. Evaluation of the Threshold for an Improved Surface Water Extraction Index Using Optical Remote Sensing Data F. Yulianto et al.
140. MMFlood: A Multimodal Dataset for Flood Delineation From Satellite Imagery F. Montello et al.
141. Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması V. DEMİR et al.
142. Amplified deviation flood index (ADFI) for fast non-prior flood detection H. Zhang et al.
143. Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence L. Pulvirenti et al.
144. Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland open surface water dynamics L. Li et al.
145. Development of an Automated Tool for Delineation of Flood Footprints from SAR Imagery for Rapid Disaster Response: A Case Study S. Kuntla & P. Manjusree
146. Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston F. Brill et al.
147. Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as A Test Case M. Chini et al.
148. A Multi-Sensor Exportable Approach for Automatic Flooded Areas Detection and Monitoring by a Composite Satellite Constellation M. Faruolo et al.
149. Location-Aware, Context-Driven QoS for IoT Applications E. Ahmad et al.
150. Radar Imaging With India’s Earth Observation Satellite-04: Earth resource monitoring using C-band synthetic aperture radar system C. Rao et al.
151. The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas S. Martinis et al.
152. Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping N. Yokoya et al.
153. TanDEM-X Water Indication Mask: Generation and First Evaluation Results A. Wendleder et al.
154. EfficientSARNet: A Lightweight, High-Performance, and Fast SAR Image Target Recognition Network Y. Hou et al.
155. An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery X. Tong et al.
156. Flood extent mapping for Namibia using change detection and thresholding with SAR S. Long et al.
157. Automated Extraction of Inundated Areas from Multi-Temporal Dual-Polarization RADARSAT-2 Images of the 2011 Central Thailand Flood P. Nakmuenwai et al.
158. Evaluation of Sentinel-1 data for flood mapping in the upstream of Sidi Salem dam (Northern Tunisia) A. Ezzine et al.
159. Inundation Assessment of the 2019 Typhoon Hagibis in Japan Using Multi-Temporal Sentinel-1 Intensity Images W. Liu et al.
160. Multi-Method Tracking of Monsoon Floods Using Sentinel-1 Imagery G. Ruzza et al.
161. Flood hazard assessment of August 20, 2016 floods in Satna District, Madhya Pradesh, India R. Kumar et al.
162. Utilization of Satellite-based Digital Elevation Model (DEM) for Hydrologic Applications: A Review S. Zaidi et al.
163. Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service C. Krullikowski et al.
164. Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy M. Righini et al.
165. Information Extraction From Remote Sensing Images for Flood Monitoring and Damage Evaluation S. Serpico et al.
166. 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.
167. Extending general compact querieable representations to GIS applications N. Brisaboa et al.
168. Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine B. DeVries et al.
169. Probabilistic Flood Mapping Using Synthetic Aperture Radar Data L. Giustarini et al.
170. XFIMNet: an Explainable deep learning architecture for versatile flood inundation mapping with synthetic aperture radar and multi-spectral optical images J. Sanderson et al.
171. A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains S. Martinis et al.
172. Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy A. Rangoonwala et al.
173. Implications of boreal forest stand characteristics for X-band SAR flood mapping accuracy J. Cohen et al.
174. Mapping and monitoring of spatio-temporal land use and land cover changes and relationship with normalized satellite indices and driving factors S. Wahla et al.
175. Level set model for water region segmentation in synthetic aperture radar images W. Lyu et al.
176. Multi-Temporal Sentinel-1 SAR and Sentinel-2 MSI Data for Flood Mapping and Damage Assessment in Mozambique M. Nhangumbe et al.
177. Unsupervised Extraction of Flood-Induced Backscatter Changes in SAR Data Using Markov Image Modeling on Irregular Graphs S. Martinis et al.
178. A Prototype System for Flood Monitoring Based on Flood Forecast Combined With COSMO-SkyMed and Sentinel-1 Data G. Boni et al.
179. Hydrological/Hydraulic Modeling-Based Thresholding of Multi SAR Remote Sensing Data for Flood Monitoring in Regions of the Vietnamese Lower Mekong River Basin N. Hong Quang et al.
180. A Collection of SAR Methodologies for Monitoring Wetlands L. White et al.
181. The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al.
182. Estimating the impact of satellite observations on the predictability of large-scale hydraulic models K. Andreadis & G. Schumann
183. Technical Note: Advances in flash flood monitoring using unmanned aerial vehicles (UAVs) M. Perks et al.
184. Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges S. Grimaldi et al.
185. Automatic Detection of Open and Vegetated Water Bodies Using Sentinel 1 to Map African Malaria Vector Mosquito Breeding Habitats A. Hardy et al.
186. Automatic near real-time flood detection using Suomi-NPP/VIIRS data S. Li et al.
187. Flood Mapping Using Multi-temporal Sentinel-1 SAR Images: A Case Study—Inaouene Watershed from Northeast of Morocco B. Benzougagh et al.
188. HydroSAR: A Cloud-Based Service for the Monitoring of Inundation Events in the Hindu Kush Himalaya F. Meyer et al.
189. Flood Index-Enhanced deep learning model for coastal inundation mapping in SAR imagery W. Chen et al.
190. Automatic Surface Water Mapping Using Polarimetric SAR Data for Long-Term Change Detection W. Zhang et al.
191. Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses C. Kuenzer et al.
192. 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 India M. Rahman & P. Thakur
193. Automatic near real-time selection of flood water levels from high resolution Synthetic Aperture Radar images for assimilation into hydraulic models: A case study D. Mason et al.
194. A New Short-Wave Infrared (SWIR) Method for Quantitative Water Fraction Derivation and Evaluation With EOS/MODIS and Landsat/TM Data S. Li et al.
195. A multitemporal index for the automatic identification of winter wheat based on Sentinel-2 imagery time series Y. Xie et al.
196. Mapping African wetlands for 2020 using multiple spectral, geo-ecological features and Google Earth Engine A. Li et al.
197. Flood detection from multi-temporal SAR data using harmonic analysis and change detection S. Schlaffer et al.
198. Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies P. Matgen et al.
199. DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions . Manavalan & . Rao
200. Change detection in floodable areas of the Danube delta using radar images S. Niculescu et al.
201. Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection C. Tottrup et al.
202. Detection of Flooded Areas Caused by Typhoon Hagibis by Applying a Learning-Based Method Using Sentinel-1 Data T. Igarashi & H. Wakabayashi
203. Flood Inundation Extraction and its Impact on Ground Subsidence Using Sentinel-1 Data: A Case Study of the “7.20” Rainstorm Event in Henan Province, China Q. Lan et al.
204. The fully-automatic Sentinel-1 Global Flood Monitoring service: Scientific challenges and future directions W. Wagner et al.
205. Multi-sensoral and automated derivation of inundated areas using TerraSAR-X and ENVISAT ASAR data V. Gstaiger et al.
206. Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data E. Vandebroek et al.
207. Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping M. Tupas et al.
208. Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data G. Kordelas et al.
209. Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine J. Cui et al.
210. Locating flood embankments using SAR time series: A proof of concept M. Wood et al.
211. SAR image analysis techniques for flood area mapping - literature survey R. Manavalan
212. Performance Study of Landslide Detection Using Multi-Temporal SAR Images Y. Lin et al.
213. Automated Processing for Flood Area Detection Using ALOS-2 and Hydrodynamic Simulation Data M. Ohki et al.
214. A MODIS-based automated flood monitoring system for southeast asia A. Ahamed & J. Bolten
215. Computerized Seed and Range Selection Method for Flood Extent Extraction in SAR Image Using Iterative Region Growing A. Chakraborty & D. Chakraborty
216. Spatial Evaluation of a Natural Flood Management Project Using SAR Change Detection S. Jarrett & D. Hölbling
217. Automated Extraction of Surface Water Extent from Sentinel-1 Data W. Huang et al.
218. Assessing Single-Polarization and Dual-Polarization TerraSAR-X Data for Surface Water Monitoring K. Irwin et al.
219. Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery S. Plank et al.
220. Extraction of Inundation Areas Due to the July 2018 Western Japan Torrential Rain Event Using Multi-Temporal ALOS-2 Images W. Liu et al.
221. SemiCD-BG: disaster detection and anomaly intrusion detection in railroad operation using change detection G. Wen et al.
222. A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data S. Martinis & A. Twele
223. Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms M. Majeed et al.
224. Examining Community Vulnerabilities through multi-scale geospatial analysis of social media activity during Hurricane Irma A. Forati & R. Ghose
225. GEE4FLOOD: rapid mapping of flood areas using temporal Sentinel-1 SAR images with Google Earth Engine cloud platform V. Vanama et al.
226. Flood Extent Mapping During Hurricane Florence With Repeat‐Pass L‐Band UAVSAR Images C. Wang et al.
227. RADARSAT-2 Beam Mode Selection for Surface Water and Flooded Vegetation Mapping L. White et al.
228. Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany S. Martinis & C. Rieke
229. Analysis of Environmental and Atmospheric Influences in the Use of SAR and Optical Imagery from Sentinel-1, Landsat-8, and Sentinel-2 in the Operational Monitoring of Reservoir Water Level W. Souza et al.
230. A highly automated algorithm for wetland detection using multi-temporal optical satellite data C. Ludwig et al.
231. Urban Flood Detection Using TerraSAR-X and SAR Simulated Reflectivity Maps S. Baghermanesh et al.
232. Detection and Refinement of Water Bodies Using a Local Thresholding Approach with Feature Extraction from Radar Satellite Images (Case study: Zaribar and Chitgar Lakes) F. Naeimi Asl & M. Akhoondzadeh
233. Mapping Damage-Affected Areas after Natural Hazard Events Using Sentinel-1 Coherence Time Series S. Olen & B. Bookhagen
234. “The 20 July 2021 Major Flood Event” in Greater Zhengzhou, China: A Case Study of Flooding Severity and Landscape Characteristics Y. Duan et al.
235. Mapping the 2021 October Flood Event in the Subsiding Taiyuan Basin by Multitemporal SAR Data H. Feng et al.
236. Object-Based Flood Analysis Using a Graph-Based Representation B. Debusscher & F. Van Coillie
237. DEM Extraction in Urban Areas Using High-Resolution TerraSAR-X Imagery U. Sefercik et al.
238. Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps I. Manakos et al.
239. Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches L. Landuyt et al.
240. Flooded Rice Paddy Detection Using Sentinel-1 and PlanetScope Data: A Case Study of the 2018 Spring Flood in West Java, Indonesia H. Wakabayashi et al.
241. Surface Water Extent Extraction in Prairie Environments Using Sentinel-1 Image-Pair Coherence P. Chen & G. Gunn
242. Water extraction from SAR images based on improved geodesic active contour J. Wan et al.
243. Monitoring of “7-20” Rainstorm Damage in the Zhengzhou Road Network Using Heterogeneous SAR Images S. Li et al.
244. Detection of Water Bodies from Kompsat-5 SAR Data S. Park
245. Weakly Supervised Deep Soft Clustering for Flood Identification in SAR Images F. Ma et al.
246. Machine Learning Based Method for Detecting Tsunami Devastated Area Using TerraSAR-X Data H. GOKON et al.
247. An active monitoring method for flood events Z. Chen et al.
248. A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X L. Giustarini et al.
249. Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis M. Volpi et al.
250. Detection of urban flood inundation using RISAT-1 SAR images: a case study of Srinagar, Jammu and Kashmir (North India) floods of September 2014 C. Bhatt et al.
251. Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping S. Martinis et al.
252. Techniques of Remote Sensing and GIS as Tools for Visualizing Impact of Climate Change-Induced Flood in the Southern African Region Y. Twumasi et al.
253. Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon L. Moya et al.
254. Improved integrated framework for flooded crop damage and recovery assessment: A multi-source earth observation and participatory mapping in Hadejia, Nigeria L. Lateef et al.
255. SAR and InSAR for Flood Monitoring: Examples With COSMO-SkyMed Data A. Refice et al.
256. Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe A. Tarpanelli et al.
257. Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain M. Bereczky et al.
258. Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data M. Rättich et al.
259. Development of algorithms for evaluating performance of flood simulation models with satellite-derived flood T. Surwase et al.
260. An unusually long Rift valley fever inter-epizootic period in Zambia: Evidence for enzootic virus circulation and risk for disease outbreak H. Chambaro et al.
261. A Physics-Guided Neural Network for Flooding Area Detection Using SAR Imagery and Local River Gauge Observations M. Gierszewska & T. Berezowski
262. Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data F. Cian et al.
263. Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks W. Kang et al.
264. An Intercomparison of Sentinel-1 Based Change Detection Algorithms for Flood Mapping M. Tupas et al.
265. Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine M. Singha et al.
266. Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands H. Ban et al.
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268. Flood Modeling and Prediction Using Earth Observation Data G. Schumann et al.
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270. Comparing four operational SAR-based water and flood detection approaches S. Martinis et al.
271. Prediction of forest fire susceptibility applying machine and deep learning algorithms for conservation priorities of forest resources S. Saha et al.
272. Dataset for Water Body Detection Using Satellite SAR Images S. Lee & H. Oh
273. Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine J. Freihardt & O. Frey
274. Monitoring of an Indonesian Tropical Wetland by Machine Learning-Based Data Fusion of Passive and Active Microwave Sensors H. Mizuochi et al.
275. Rapid Assessment of Flood Inundation and Damaged Rice Area in Red River Delta from Sentinel 1A Imagery A. Phan et al.
276. Monitoring surface water in floodplains by satellites: Progress, challenges, and perspectives Y. Lin & C. Song
277. A Tool for Pre-Operational Daily Mapping of Floods and Permanent Water Using Sentinel-1 Data L. Pulvirenti et al.
278. Time series analysis of automated surface water extraction and thermal pattern variation over the Betwa river, India N. Das et al.
279. Increased flooded area and exposure in the White Volta river basin in Western Africa, identified from multi-source remote sensing data C. Li et al.
280. Leveraging synthetic assimilation of remote sensing with the National Water Model (NWM) to improve above-normal flow prediction in ungauged basins S. Fang et al.
281. Deep learning methods for flood mapping: a review of existing applications and future research directions R. Bentivoglio et al.
282. Enhanced flood water depth estimation from Sentinel-1A images A. Nguyen et al.
283. Potential of Two SAR-Based Flood Mapping Approaches in Supporting an Integrated 1D/2D HEC-RAS Model I. Zotou et al.
284. Flood Detection in Urban Areas Using TerraSAR-X D. Mason et al.
285. A Practical Plateau Lake Extraction Algorithm Combining Novel Statistical Features and Kullback–Leibler Distance Using Synthetic Aperture Radar Imagery X. Zhou et al.
286. Using Sentinel-1A DInSAR interferometry and Landsat 8 data for monitoring water level changes in two lakes in Crete, Greece D. Alexakis et al.
287. Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey M. Goldberg et al.
288. Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery M. Butenuth et al.