THE USE OF LIDAR AND VOLUNTEERED GEOGRAPHIC INFORMATION TO MAP FLOOD EXTENTS AND INUNDATION

29 citations as recorded by crossref.

1. Validation of Urban Flood Inundation Models Applied Using Nationally Available Data Sets: Novel Analyses of Observed High Water Information M. Smith et al.
2. Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al.
3. Using volunteered geographic information data for flood mapping – Wadi Deffa El Bayadh Algeria A. Otmani et al.
4. Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al.
5. Using volunteered geographical information to map the November 2012 floods in Slovenia M. Triglav-Čekada & D. Radovan
6. A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z. Li et al.
7. Development of a Physics-Guided Neural Network Model for Effective Urban Flood Management A. Balakrishna Madayala et al.
8. Dynamically Integrating OSM Data into a Borderland Database X. Zhou et al.
9. Post‐event flood mapping for road networks using taxiGPSdata X. Kong et al.
10. Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut Z. Liu et al.
11. Enhancing inundation monitoring of road networks using crowdsourced flood reports M. Esparza et al.
12. Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey Y. Feng et al.
13. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al.
14. Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G. Cervone et al.
15. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi
16. A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al.
17. Utilization of social media in floods assessment using data mining techniques Q. Khan et al.
18. Urban Observation: Integration of Remote Sensing and Social Media Data L. Qi et al.
19. Flood depth mapping in street photos with image processing and deep neural networks B. Alizadeh Kharazi & A. Behzadan
20. Assessing the 2022 Flood Impacts in Queensland Combining Daytime and Nighttime Optical and Imaging Radar Data N. Levin & S. Phinn
21. Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets X. Huang et al.
22. A Spatio-Temporal VGI Model Considering Trust-Related Information Y. Zhao et al.
23. Weakly Supervised Multimodal Fusion of Remote Sensing and Social Media Data for Urban Flood Mapping W. Zheng et al.
24. Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood D. Karmegam et al.
25. Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images L. Griesbaum et al.
26. Quantifying unequal urban resilience to rainfall across China from location-aware big data J. Qian et al.
27. Volunteered remote sensing data generation with air passengers as sensors C. Wang et al.
28. VGI and Satellite Imagery Integration for Crisis Mapping of Flood Events A. Vavassori et al.
29. Citizen observations contributing to flood modelling: opportunities and challenges T. Assumpção et al.