86 citations as recorded by crossref.

1. Low cost, multiscale and multi-sensor application for flooded area mapping D. Giordan et al.
2. Sentinel-2 Satellites Provide Near-Real Time Evaluation of Catastrophic Floods in the West Mediterranean I. Caballero et al.
3. Supervised classification of civil air patrol (CAP) E. Sava et al.
4. Developing a volunteered geographic information-based system for rapidly estimating damage from natural disasters M. Bayazidy-Hasanabad et al.
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.
6. Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture X. Huang et al.
7. Dijital Çağda Afet Yönetimi: Dijital Bölünme Perspektifinden Bir İnceleme N. PARTİGÖÇ & Ç. TARHAN
8. Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data Y. Zhang et al.
9. Hydrological-hydraulic modelling to assess Nature-Based Solutions for flood risk mitigation in an urban area of Catania (Sicily, Italy) L. Sciuto et al.
10. Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery D. Sun et al.
11. Examining the Effects of a Flood Event in the Lower Ceyhan Basin in 1980 Using Historical Satellite Data Ş. Güvel et al.
12. E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time C. Havas et al.
13. Towards Sustainable Land Uses within the Elbe River Biosphere Reserve in Lower Saxony, Germany by Means of TerraSAR-X Images D. Farghaly et al.
14. Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media H. Wang et al.
15. A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z. Li et al.
16. Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images Y. Byun et al.
17. Weakly Supervised Multimodal Fusion of Remote Sensing and Social Media Data for Urban Flood Mapping W. Zheng et al.
18. “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.
19. A Generic Spatial OLAP Model for Evaluating Natural Hazards in a Volunteered Geographic Information Context S. Bimonte et al.
20. Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring G. Panteras & G. Cervone
21. ATLANTIS: A benchmark for semantic segmentation of waterbody images S. Erfani et al.
22. 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.
23. Assessing the Intensity of the Population Affected by a Complex Natural Disaster Using Social Media Data C. Cheng et al.
24. 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.
25. Social media analytics for natural disaster management Z. Wang & X. Ye
26. Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood E. Sava et al.
27. Investigating Road-Constrained Spatial Distributions and Semantic Attractiveness for Area of Interest H. Ma et al.
28. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response J. Li et al.
29. Detecting flood inundation information through Twitter: The 2015 Kinu River flood disaster in Japan Y. Shi et al.
30. Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio (Pistacia vera L.) E. Barajas et al.
31. Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al.
32. Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features C. Scheele et al.
33. Fusing Social Media, Remote Sensing, and Fire Dynamics to Track Wildland-Urban Interface Fire W. Zhong et al.
34. Urban resilience from the lens of social media data: Responses to urban flooding in Nanjing, China B. Wang et al.
35. Real Time Estimation of the Calgary Floods Using Limited Remote Sensing Data E. Schnebele et al.
36. Multi-phase Oil Tank Recognition for High Resolution Remote Sensing Images C. Liu et al.
37. 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.
38. Geoinformation Harvesting From Social Media Data: A community remote sensing approach X. Zhu et al.
39. Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile C. Geiß et al.
40. Integrating remote sensing and social sensing for flood mapping R. Sadiq et al.
41. Los Angeles as a digital place: The geographies of user‐generated content A. Ballatore & S. De Sabbata
42. Geospatial Modeling Based-Multi-Criteria Decision-Making for Flash Flood Susceptibility Zonation in an Arid Area M. Shawky & Q. Hassan
43. Emergency Response Using Volunteered Passenger Aircraft Remote Sensing Data: A Case Study on Flood Damage Mapping C. Wang et al.
44. Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G. Cervone et al.
45. Survey of computational intelligence as basis to big flood management: challenges, research directions and future work F. Fotovatikhah et al.
46. The importance of volunteered geographic information for the validation of flood inundation models E. Rollason et al.
47. Databases in geohazard science: An introduction M. Klose et al.
48. Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al.
49. Rapid flood inundation mapping using social media, remote sensing and topographic data J. Rosser et al.
50. Social media as an information source for rapid flood inundation mapping J. Fohringer et al.
51. The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives X. Xing et al.
52. Rapid Detection of Land Cover Changes Using Crowdsourced Geographic Information: A Case Study of Beijing, China Y. Meng et al.
53. Remote Sensing, natural hazards and the contribution of ESA Sentinels missions D. Poursanidis & N. Chrysoulakis
54. Road assessment after flood events using non-authoritative data E. Schnebele et al.
55. Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence K. Bhuyan et al.
56. Comprehensive risk assessment of natural disasters based on machine learning in Changzhou City, China W. Ju et al.
57. Related concepts, research frameworks, and development prospects of immediate remote sensing detection of potential surface anomalies X. Yang et al.
58. 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.
59. Spatial Technology and Social Media in Remote Sensing: A Survey J. Li et al.
60. Distributed Fusion of Heterogeneous Remote Sensing and Social Media Data: A Review and New Developments J. Li et al.
61. 潜在地表异常遥感即时探测的相关概念<bold>、</bold>研究思路与发展方向 欣. 杨 et al.
62. Geospatial Big Data: New Paradigm of Remote Sensing Applications X. Deng et al.
63. Flood hazard assessment and the role of citizen science B. Sy et al.
64. Street-scale hydrodynamic estimation from social media videos: A systematic approach to urban floods data collection M. Lombardo et al.
65. Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets X. Huang et al.
66. Integration of Crowdsourced Images, USGS Networks, Remote Sensing, and a Model to Assess Flood Depth during Hurricane Florence C. Hultquist & G. Cervone
67. Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions I. Ekeu-wei & G. Blackburn
68. Optimal Transport Under Land Cover Information Constraints: Fusing Heterogeneous SAR Imagery and Social Media Data Z. Liu et al.
69. Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al.
70. Citizen scientists’ engagement in flood risk-related data collection: a case study in Bui River Basin, Vietnam H. Tran et al.
71. Automatic identification of eyewitness messages on twitter during disasters K. Zahra et al.
72. Using volunteered geographical information to map the November 2012 floods in Slovenia M. Triglav-Čekada & D. Radovan
73. VGI and Satellite Imagery Integration for Crisis Mapping of Flood Events A. Vavassori et al.
74. Understanding social media data for disaster management Y. Xiao et al.
75. Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery Q. Huang & Y. Xiao
76. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing S. Becken et al.
77. Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information Y. Lin et al.
78. A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management Z. Zhang et al.
79. Capturing Flood Risk Perception via Sketch Maps C. Klonner et al.
80. The Top-Viewed Cryosphere Videos on YouTube: An Overview A. Emmer et al.
81. Data Fusion and Remote Sensing: An ever-growing relationship M. Schmitt & X. Zhu
82. 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.
83. Initial validation of non-authoritative data for road assessment E. Schnebele et al.
84. Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring C. Havas & B. Resch
85. Autonomous Eyewitness Identification by Employing Linguistic Rules for Disaster Events S. Haider & M. Tanvir Afzal
86. Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos Y. Feng & M. Sester