61 citations as recorded by crossref.

1. The influence of land use and land cover change on landslide susceptibility: a case study in Zhushan Town, Xuan'en County (Hubei, China) L. Chen et al. https://doi.org/10.5194/nhess-19-2207-2019
2. A GIS-Based Model for the analysis of an urban flash flood and its hydro-geomorphic response. The Valencia event of 1957 I. Portugués-Mollá et al. https://doi.org/10.1016/j.jhydrol.2016.05.048
3. A Comparative Study of Water Indices and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery F. Pan et al. https://doi.org/10.3390/rs12101611
4. Multitemporal landslide exposure and vulnerability assessment in Medellín, Colombia M. Kühnl et al. https://doi.org/10.1007/s11069-022-05679-z
5. An upscaling multi-level and multi-hazard risk assessment for heat and other natural hazards concerning vulnerable groups in Žilina, Slovakia A. Fekete et al. https://doi.org/10.1007/s11069-025-07722-1
6. Flooding extent cartography with Landsat TM imagery and regularized kernel Fisher's discriminant analysis M. Volpi et al. https://doi.org/10.1016/j.cageo.2013.03.009
7. Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China E. Guo et al. https://doi.org/10.1007/s11069-014-1238-9
8. Towards periodic and time-referenced flood risk assessment using airborne remote sensing C. Brenner et al. https://doi.org/10.1515/johh-2016-0034
9. Automatic boosted flood mapping from satellite data B. Coltin et al. https://doi.org/10.1080/01431161.2016.1145366
10. Identification of Vegetation Surfaces and Volumes by Height Levels in Reservoir Deltas Using UAS Techniques—Case Study at Gilău Reservoir, Transylvania, Romania I. Rus et al. https://doi.org/10.3390/su16020648
11. Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring G. Panteras & G. Cervone https://doi.org/10.1080/01431161.2017.1400193
12. Rapid flood extent mapping and exposure assessment using SAR and machine learning in the Küçük Menderes Basin, Türkiye Y. Eminoğlu & H. Erdin https://doi.org/10.1007/s11069-026-08292-6
13. Dynamic Fire Monitoring Analysis and Risk Assessment Based on Multisource Satellite Remote Sensing J. Chen et al. https://doi.org/10.1155/2022/5039644
14. A GIS-based approach to compare economic damages of fluvial flooding in the Neckar River basin under current conditions and future scenarios R. Prütz & P. Månsson https://doi.org/10.1007/s11069-021-04757-y
15. Trialing Innovative Technologies in Crisis Management—“Airborne and Terrestrial Situational Awareness” as Support Tool in Flood Response E. Schröter et al. https://doi.org/10.3390/app10113743
16. The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models M. Drews et al. https://doi.org/10.1016/j.scitotenv.2023.164962
17. Delineation of Flood Susceptibility Zone Using Analytical Hierarchy Process and Frequency Ratio Methods: A Case Study of Dakshin Dinajpur District, India D. Sarkar et al. https://doi.org/10.1007/s12524-023-01777-y
18. Earth observation data based rapid flood-extent modelling for tsunami-devastated coastal areas S. Hese & T. Heyer https://doi.org/10.1016/j.jag.2015.11.005
19. Climate change and urban flooding: assessing remote sensing data and flood modeling techniques: a comprehensive review A. Bagheri & G. Liu https://doi.org/10.1139/er-2024-0065
20. Lake water volume calculation using time series LANDSAT satellite data: a geospatial analysis of Deepor Beel Lake, Guwahati I. Ahmed et al. https://doi.org/10.1108/FEBE-02-2021-0009
21. Spatial Distribution of Flood Vulnerability in Langkat Regency, North Sumatera Province, Indonesia A. Thoha et al. https://doi.org/10.1088/1755-1315/1188/1/012009
22. Large-scale mapping of water bodies across sensors using unsupervised deep learning J. Zhao et al. https://doi.org/10.1016/j.rse.2025.114877
23. Identifying areas sensitive to land use/land cover change for downstream flooding in a coastal Alabama watershed N. Noori et al. https://doi.org/10.1007/s10113-016-0931-5
24. A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria C. Ajaero https://doi.org/10.1007/s12571-017-0695-x
25. Understanding the Dependence of Satellite Rainfall Uncertainty on Topography and Climate for Hydrologic Model Simulation A. Gebregiorgis & F. Hossain https://doi.org/10.1109/TGRS.2012.2196282
26. Intercomparison of Multiple Hydroclimatic Datasets across the Lower Nelson River Basin, Manitoba, Canada R. Lilhare et al. https://doi.org/10.1080/07055900.2019.1638226
27. Flood Inundation Mapping Using Synthetic Aperture Radar Data Single Polarization: A Case Study of Flood in Lake Tempe, South Sulawesi-Indonesia N. Febrianti et al. https://doi.org/10.1088/1755-1315/572/1/012028
28. Restoration of urban forests to reduce flood susceptibility: A starting point J. Viezzer et al. https://doi.org/10.1016/j.ijdrr.2022.102944
29. The characteristics of regional heavy precipitation events over eastern monsoon China during 1960–2013 Y. Wu et al. https://doi.org/10.1016/j.gloplacha.2018.11.001
30. Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions I. Ekeu-wei & G. Blackburn https://doi.org/10.3390/hydrology5030039
31. The state of the art of spaceborne remote sensing in flood management M. Rahman & L. Di https://doi.org/10.1007/s11069-016-2601-9
32. Understanding the impact of land use change on urban flood susceptibility mapping assessment: A review E. Giofandi et al. https://doi.org/10.15243/jdmlm.2024.113.6025
33. MEF-TransUNet: A Newly Developed Remote Sensing Detection Model for Micro Water Body Targets Y. Yu et al. https://doi.org/10.3390/rs18101611
34. A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile D. Araya-Muñoz et al. https://doi.org/10.1016/j.scitotenv.2016.10.077
35. Flood Detection Based on Unmanned Aerial Vehicle System and Deep Learning K. Yang et al. https://doi.org/10.1155/2022/6155300
36. AI-Driven Consumer Safety Monitoring System With Visual Energy Optimization for Flood Detection and Prediction S. Li et al. https://doi.org/10.1109/TCE.2025.3583371
37. Physical Vulnerability and Local Responses to Flood Damage in Peri-Urban Areas of Dhaka, Bangladesh M. Fatemi et al. https://doi.org/10.3390/su12103957
38. Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt A. Youssef et al. https://doi.org/10.1080/10106049.2022.2046866
39. Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms S. Talukdar et al. https://doi.org/10.1007/s00477-020-01862-5
40. Mapping of small water bodies with integrated spatial information for time series images of optical remote sensing Y. Dong et al. https://doi.org/10.1016/j.jhydrol.2022.128580
41. Analysis and assessment of urban flash floods on areas with limited available altimetry data (Arouca, NW Portugal): a methodological approach I. Marafuz et al. https://doi.org/10.1007/s12665-014-3943-9
42. Monte Carlo simulation-aided analytical hierarchy process (AHP) for flood susceptibility mapping in Gabes Basin (southeastern Tunisia) N. Dahri & H. Abida https://doi.org/10.1007/s12665-017-6619-4
43. Building Types’ Classification Using Shape-Based Features and Linear Discriminant Functions M. Wurm et al. https://doi.org/10.1109/JSTARS.2015.2465131
44. Flood-prone area delimitation using UAV technology, in the areas hard-to-reach for classic aircrafts: case study in the north-east of Apuseni Mountains, Transylvania G. Şerban et al. https://doi.org/10.1007/s11069-016-2266-4
45. Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data T. Gerl et al. https://doi.org/10.3390/w6082367
46. Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach A. Galligari et al. https://doi.org/10.3390/su12145632
47. Geospatial Techniques for the Assessment and Analysis of Flood Risk along the Niger-Benue Basin in Nigeria F. Nkeki et al. https://doi.org/10.4236/jgis.2013.52013
48. Rapid assessment of flood susceptibility in urbanized rivers using digital terrain data: Application to the Arno river case study (Firenze, northern Italy) S. Morelli et al. https://doi.org/10.1016/j.apgeog.2014.06.032
49. Synthesizing urban remote sensing through application, scale, data and case studies E. Wentz et al. https://doi.org/10.1080/10106049.2012.687400
50. Efficient dam break flood simulation methods for developing a preliminary evacuation plan after the Wenchuan Earthquake Y. Li et al. https://doi.org/10.5194/nhess-12-97-2012
51. Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia S. Skakun et al. https://doi.org/10.1111/risa.12156
52. Variability and trend analysis in the extreme climatic conditions in Beas River Sub-Basin of the Western Himalayas: A geo-statistical and geospatial approach I. Ansari et al. https://doi.org/10.1016/j.pce.2025.104112
53. Quantifying the impacts of land cover change on catchment-scale urban flooding by classifying aerial images J. Li & Z. Bortolot https://doi.org/10.1016/j.jclepro.2022.130992
54. Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada J. Wong et al. https://doi.org/10.5194/hess-21-2163-2017
55. Rainfall and streamflow extreme events in the São Francisco hydrographic region D. Oliveira et al. https://doi.org/10.1002/joc.6807
56. Modeling the effect of urbanization on flood risk in Ayamama Watershed, Istanbul, Turkey, using the MIKE 21 FM model T. Nigussie & A. Altunkaynak https://doi.org/10.1007/s11069-019-03794-y
57. GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus D. Alexakis et al. https://doi.org/10.5194/nhess-14-413-2014
58. Keeping it simple: Monitoring flood extent in large data-poor wetlands using MODIS SWIR data P. Wolski et al. https://doi.org/10.1016/j.jag.2017.01.005
59. A systematic analysis of remote sensing and geographic information system applications for flood disaster risk management C. Amatebelle et al. https://doi.org/10.1080/14498596.2025.2476973
60. Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata L. Liu et al. https://doi.org/10.5194/nhess-15-381-2015
61. Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization D. Tuia et al. https://doi.org/10.1016/j.isprsjprs.2016.07.004