81 citations as recorded by crossref.

1. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al. 10.5194/nhess-18-1493-2018
2. Sentinel-2 Satellites Provide Near-Real Time Evaluation of Catastrophic Floods in the West Mediterranean I. Caballero et al. 10.3390/w11122499
3. Supervised classification of civil air patrol (CAP) E. Sava et al. 10.1007/s11069-016-2704-3
4. Developing a volunteered geographic information-based system for rapidly estimating damage from natural disasters M. Bayazidy-Hasanabad et al. 10.1007/s12517-021-08220-x
5. 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. 10.1088/1755-1315/572/1/012028
6. Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture X. Huang et al. 10.1080/17538947.2019.1633425
7. Dijital Çağda Afet Yönetimi: Dijital Bölünme Perspektifinden Bir İnceleme N. PARTİGÖÇ & Ç. TARHAN 10.32569/resilience.619192
8. Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data Y. Zhang et al. 10.1016/j.jhydrol.2021.127053
9. Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery D. Sun et al. 10.1080/17538947.2015.1040474
10. Examining the Effects of a Flood Event in the Lower Ceyhan Basin in 1980 Using Historical Satellite Data Ş. Güvel et al. 10.21605/cukurovaumfd.1459386
11. E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time C. Havas et al. 10.3390/s17122766
12. Towards Sustainable Land Uses within the Elbe River Biosphere Reserve in Lower Saxony, Germany by Means of TerraSAR-X Images D. Farghaly et al. 10.4236/gep.2016.43009
13. Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media H. Wang et al. 10.1109/TGRS.2018.2846199
14. A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z. Li et al. 10.1080/15230406.2016.1271356
15. Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images Y. Byun et al. 10.3390/rs70810347
16. “Internet+” approach to mapping exposure and seismic vulnerability of buildings in a context of rapid socioeconomic growth: a case study in Tangshan, China W. Qi et al. 10.1007/s11069-016-2581-9
17. A Generic Spatial OLAP Model for Evaluating Natural Hazards in a Volunteered Geographic Information Context S. Bimonte et al. 10.4018/ijaeis.2014100102
18. Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring G. Panteras & G. Cervone 10.1080/01431161.2017.1400193
19. ATLANTIS: A benchmark for semantic segmentation of waterbody images S. Erfani et al. 10.1016/j.envsoft.2022.105333
20. Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation C. Klonner et al. 10.3390/ijgi5070103
21. Assessing the Intensity of the Population Affected by a Complex Natural Disaster Using Social Media Data C. Cheng et al. 10.3390/ijgi8080358
22. Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach H. Vahidi et al. 10.3390/rs10071134
23. Social media analytics for natural disaster management Z. Wang & X. Ye 10.1080/13658816.2017.1367003
24. Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood E. Sava et al. 10.3390/rs15061615
25. Investigating Road-Constrained Spatial Distributions and Semantic Attractiveness for Area of Interest H. Ma et al. 10.3390/su11174624
26. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response J. Li et al. 10.1109/JPROC.2017.2684460
27. Detecting flood inundation information through Twitter: The 2015 Kinu River flood disaster in Japan Y. Shi et al. 10.2328/jnds.40.1
28. Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio (Pistacia vera L.) E. Barajas et al. 10.3390/su12208437
29. Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al. 10.5194/hess-22-1473-2018
30. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features C. Scheele et al. 10.1080/17538947.2021.1968048
31. Fusing Social Media, Remote Sensing, and Fire Dynamics to Track Wildland-Urban Interface Fire W. Zhong et al. 10.3390/rs15153842
32. Urban resilience from the lens of social media data: Responses to urban flooding in Nanjing, China B. Wang et al. 10.1016/j.cities.2020.102884
33. Real Time Estimation of the Calgary Floods Using Limited Remote Sensing Data E. Schnebele et al. 10.3390/w6020381
34. Multi-phase Oil Tank Recognition for High Resolution Remote Sensing Images C. Liu et al. 10.31209/2018.100000033
35. Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma M. Sit et al. 10.1080/17538947.2018.1563219
36. Geoinformation Harvesting From Social Media Data: A community remote sensing approach X. Zhu et al. 10.1109/MGRS.2022.3219584
37. Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile C. Geiß et al. 10.1007/s11069-016-2663-8
38. Integrating remote sensing and social sensing for flood mapping R. Sadiq et al. 10.1016/j.rsase.2022.100697
39. Los Angeles as a digital place: The geographies of user‐generated content A. Ballatore & S. De Sabbata 10.1111/tgis.12600
40. Geospatial Modeling Based-Multi-Criteria Decision-Making for Flash Flood Susceptibility Zonation in an Arid Area M. Shawky & Q. Hassan 10.3390/rs15102561
41. Emergency Response Using Volunteered Passenger Aircraft Remote Sensing Data: A Case Study on Flood Damage Mapping C. Wang et al. 10.3390/s19194163
42. Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G. Cervone et al. 10.1080/01431161.2015.1117684
43. Survey of computational intelligence as basis to big flood management: challenges, research directions and future work F. Fotovatikhah et al. 10.1080/19942060.2018.1448896
44. The importance of volunteered geographic information for the validation of flood inundation models E. Rollason et al. 10.1016/j.jhydrol.2018.05.002
45. Databases in geohazard science: An introduction M. Klose et al. 10.1016/j.geomorph.2015.06.029
46. Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al. 10.1080/13658816.2022.2048835
47. Rapid flood inundation mapping using social media, remote sensing and topographic data J. Rosser et al. 10.1007/s11069-017-2755-0
48. Social media as an information source for rapid flood inundation mapping J. Fohringer et al. 10.5194/nhess-15-2725-2015
49. The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives X. Xing et al. 10.1109/MGRS.2023.3343968
50. Rapid Detection of Land Cover Changes Using Crowdsourced Geographic Information: A Case Study of Beijing, China Y. Meng et al. 10.3390/su9091547
51. Remote Sensing, natural hazards and the contribution of ESA Sentinels missions D. Poursanidis & N. Chrysoulakis 10.1016/j.rsase.2017.02.001
52. Road assessment after flood events using non-authoritative data E. Schnebele et al. 10.5194/nhess-14-1007-2014
53. Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence K. Bhuyan et al. 10.1007/s11069-022-05612-4
54. Comprehensive risk assessment of natural disasters based on machine learning in Changzhou City, China W. Ju et al. 10.1007/s10668-024-05531-3
55. An Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-Scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China G. Su et al. 10.3390/rs70302543
56. Spatial Technology and Social Media in Remote Sensing: A Survey J. Li et al. 10.1109/JPROC.2017.2729890
57. Distributed Fusion of Heterogeneous Remote Sensing and Social Media Data: A Review and New Developments J. Li et al. 10.1109/JPROC.2021.3079176
58. Geospatial Big Data: New Paradigm of Remote Sensing Applications X. Deng et al. 10.1109/JSTARS.2019.2944952
59. Flood hazard assessment and the role of citizen science B. Sy et al. 10.1111/jfr3.12519
60. Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets X. Huang et al. 10.1109/TGRS.2018.2835306
61. Integration of Crowdsourced Images, USGS Networks, Remote Sensing, and a Model to Assess Flood Depth during Hurricane Florence C. Hultquist & G. Cervone 10.3390/rs12050834
62. Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions I. Ekeu-wei & G. Blackburn 10.3390/hydrology5030039
63. Optimal Transport Under Land Cover Information Constraints: Fusing Heterogeneous SAR Imagery and Social Media Data Z. Liu et al. 10.1109/TGRS.2024.3502659
64. Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. 10.1007/s11069-023-06073-z
65. Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam H. Tran et al. 10.1007/s10661-024-12419-2
66. Automatic identification of eyewitness messages on twitter during disasters K. Zahra et al. 10.1016/j.ipm.2019.102107
67. Using volunteered geographical information to map the November 2012 floods in Slovenia M. Triglav-Čekada & D. Radovan 10.5194/nhess-13-2753-2013
68. VGI and Satellite Imagery Integration for Crisis Mapping of Flood Events A. Vavassori et al. 10.3390/ijgi11120611
69. Understanding social media data for disaster management Y. Xiao et al. 10.1007/s11069-015-1918-0
70. Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery Q. Huang & Y. Xiao 10.3390/ijgi4031549
71. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing S. Becken et al. 10.1016/j.jenvman.2017.07.007
72. Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information Y. Lin et al. 10.3390/rs12040706
73. A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management Z. Zhang et al. 10.1080/17538947.2018.1543363
74. Capturing Flood Risk Perception via Sketch Maps C. Klonner et al. 10.3390/ijgi7090359
75. The Top-Viewed Cryosphere Videos on YouTube: An Overview A. Emmer et al. 10.3390/geosciences9040181
76. Data Fusion and Remote Sensing: An ever-growing relationship M. Schmitt & X. Zhu 10.1109/MGRS.2016.2561021
77. Can the Quality of the Potential Flood Risk Maps be Evaluated? A Case Study of the Social Risks of Floods in Central Spain J. Garrote et al. 10.3390/w11061284
78. Initial validation of non-authoritative data for road assessment E. Schnebele et al. 10.1145/2544346.2544348
79. Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring C. Havas & B. Resch 10.1007/s11069-021-04808-4
80. Autonomous Eyewitness Identification by Employing Linguistic Rules for Disaster Events S. Haider & M. Tanvir Afzal 10.32604/cmc.2020.012057
81. Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos Y. Feng & M. Sester 10.3390/ijgi7020039