111 citations as recorded by crossref.

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17. Social media analytics for natural disaster management Z. Wang & X. Ye 10.1080/13658816.2017.1367003
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25. Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
26. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135
27. Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists Y. Yan et al. 10.1080/13658816.2018.1458989
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31. Potential and Limitations of Open Satellite Data for Flood Mapping D. Notti et al. 10.3390/rs10111673
32. Spatiotemporal Changes of Urban Rainstorm-Related Micro-Blogging Activities in Response to Rainstorms: A Case Study in Beijing, China N. Wang et al. 10.3390/app9214629
33. Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data J. Jiang et al. 10.3390/rs12061014
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37. Flood Forecasting System Based on Integrated Big and Crowdsource Data by Using Machine Learning Techniques S. Puttinaovarat & P. Horkaew 10.1109/ACCESS.2019.2963819
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41. Free Global DEMs and Flood Modelling—A Comparison Analysis for the January 2015 Flooding Event in Mocuba City (Mozambique) J. Garrote 10.3390/w14020176
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50. Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter P. Bruneau et al. 10.3390/rs13061153
51. The Missing Parts from Social Media–Enabled Smart Cities: Who, Where, When, and What? Y. Yuan et al. 10.1080/24694452.2019.1631144
52. Situational awareness extraction: a comprehensive review of social media data classification during natural hazards J. Vongkusolkit & Q. Huang 10.1080/19475683.2020.1817146
53. Social media data crowdsourcing as a new stream for environmental planning & monitoring: A review B. Lawu et al. 10.1088/1755-1315/729/1/012013
54. Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al. 10.5194/hess-22-1473-2018
55. Water level prediction from social media images with a multi-task ranking approach P. Chaudhary et al. 10.1016/j.isprsjprs.2020.07.003
56. Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective K. Muniz-Rodriguez et al. 10.1017/dmp.2020.3
57. Opportunities and risks of disaster data from social media: a systematic review of incident information M. Wiegmann et al. 10.5194/nhess-21-1431-2021
58. Urban surface water flood modelling – a comprehensive review of current models and future challenges K. Guo et al. 10.5194/hess-25-2843-2021
59. Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data R. Wang et al. 10.1016/j.cageo.2017.11.008
60. Using Tabu Search Adjusted with Urban Sewer Flood Simulation to Improve Pluvial Flood Warning via Rainfall Thresholds H. Liao et al. 10.3390/w11020348
61. Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan T. Zhang & C. Cheng 10.3390/ijgi10050299
62. Flood hazard assessment and the role of citizen science B. Sy et al. 10.1111/jfr3.12519
63. Utilizing Geo-Social Media as a Proxy Data for Enhanced Flood Monitoring J. Sattaru et al. 10.1007/s12524-021-01376-9
64. Spatial exposure aspects contributing to vulnerability and resilience assessments of urban critical infrastructure in a flood and blackout context A. Fekete et al. 10.1007/s11069-016-2720-3
65. The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework E. Wolff 10.1016/j.pdisas.2021.100171
66. Tracking Flooding Phase Transitions and Establishing a Passive Hotline With AI-Enabled Social Media Data R. Wang et al. 10.1109/ACCESS.2020.2994187
67. TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response J. de Bruijn et al. 10.1007/s41651-017-0010-6
68. Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
69. Social Network, Activity Space, Sentiment, and Evacuation: What Can Social Media Tell Us? Y. Jiang et al. 10.1080/24694452.2019.1592660
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74. Urban Observation: Integration of Remote Sensing and Social Media Data L. Qi et al. 10.1109/JSTARS.2019.2908515
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81. Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review L. Dwarakanath et al. 10.1109/ACCESS.2021.3074819
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83. Traffic Impact Area Detection and Spatiotemporal Influence Assessment for Disaster Reduction Based on Social Media: A Case Study of the 2018 Beijing Rainstorm T. Yang et al. 10.3390/ijgi9020136
84. Opportunities for crowdsourcing in urban flood monitoring A. Helmrich et al. 10.1016/j.envsoft.2021.105124
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87. Twitter’s Messages about Hydrometeorological Events. A Study on the Social Impact of Climate Change E. Oliver et al. 10.3390/su13063579
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