Articles | Volume 13, issue 11
https://doi.org/10.5194/nhess-13-2753-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-2753-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Nov 2013
Research article |
| 05 Nov 2013
Using volunteered geographical information to map the November 2012 floods in Slovenia
M. Triglav-Čekada
Geodetic Institute of Slovenia, Ljubljana, Slovenia
D. Radovan
Geodetic Institute of Slovenia, Ljubljana, Slovenia
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Cited
33 citations as recorded by crossref.
- Estimating flood extent during Hurricane Harvey using maximum entropy to build a hazard distribution model W. Mobley et al. https://doi.org/10.1111/jfr3.12549
- Flood hazard assessment and the role of citizen science B. Sy et al. https://doi.org/10.1111/jfr3.12519
- Towards multi-agency sensor information integration for disaster management F. Alamdar et al. https://doi.org/10.1016/j.compenvurbsys.2015.11.005
- A near real-time flood-mapping approach by integrating social media and post-event satellite imagery X. Huang et al. https://doi.org/10.1080/19475683.2018.1450787
- Utilization of social media in floods assessment using data mining techniques Q. Khan et al. https://doi.org/10.1371/journal.pone.0267079
- Potenciali fotografij, posnetih s pametnim telefonom, za izmero prostovoljnih geografskih informacij M. Triglav Čekada et al. https://doi.org/10.3986/GV93104
- Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. https://doi.org/10.5194/hess-21-3597-2017
- Flood inundation forecasts using validation data generated with the assistance of computer vision P. Bhola et al. https://doi.org/10.2166/hydro.2018.044
- Primerjava uporabe prostovoljnih geografskih informacij za spremljanje poplav in potresov // Comparison of the volunteered geographic information usage to monitor floods and earthquakes M. Triglav Čekada & D. Radovan https://doi.org/10.3986/GV91207
- Building hazard maps with differentiated risk perception for flood impact assessment P. Bhola et al. https://doi.org/10.5194/nhess-20-2647-2020
- Social media analytics for natural disaster management Z. Wang & X. Ye https://doi.org/10.1080/13658816.2017.1367003
- Very Small Glaciers as Geoheritage: Combining a Spatio-Temporal Visualisation of Their Development and Related Effects of Climate Change M. Triglav Čekada et al. https://doi.org/10.1007/s12371-020-00511-1
- Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G. Cervone et al. https://doi.org/10.1080/01431161.2015.1117684
- Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets X. Huang et al. https://doi.org/10.1109/TGRS.2018.2835306
- A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z. Li et al. https://doi.org/10.1080/15230406.2016.1271356
- A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management J. de Albuquerque et al. https://doi.org/10.1080/13658816.2014.996567
- An integrative framework for AI-supported coastal hydrodynamics monitoring and analysis R. Wang et al. https://doi.org/10.1038/s41598-025-94791-8
- The importance of volunteered geographic information for the validation of flood inundation models E. Rollason et al. https://doi.org/10.1016/j.jhydrol.2018.05.002
- A method for assessing the credibility of volunteered geographic information in case of flood crisis Q. Safariallahkheili & M. Malek https://doi.org/10.1016/j.procs.2022.09.218
- Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. https://doi.org/10.1007/s11069-023-06073-z
- Examining Community Vulnerabilities through multi-scale geospatial analysis of social media activity during Hurricane Irma A. Forati & R. Ghose https://doi.org/10.1016/j.ijdrr.2021.102701
- Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery D. Sun et al. https://doi.org/10.1080/17538947.2015.1040474
- Advancing Earth science applications through a semi-automatic monoplotting framework for efficient 3D geo-referencing of monocular oblique visual Data B. Golparvar & R. Wang https://doi.org/10.1016/j.cageo.2025.105915
- 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. https://doi.org/10.3390/w11061284
- How Does Multi-Source Social Media Data Serve in Urban Flood Information Collection, Recognition, and Analysis? J. Wang et al. https://doi.org/10.3390/w18030405
- Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks F. Horita et al. https://doi.org/10.1016/j.cageo.2015.04.001
- Semi-supervised identification and mapping of surface water extent using street-level monitoring videos R. Wang & Y. Ding https://doi.org/10.1080/20964471.2022.2123352
- Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images L. Griesbaum et al. https://doi.org/10.5194/nhess-17-1191-2017
- Water Level Measurements from Drones: A Pilot Case Study at a Dam Site E. Ridolfi & P. Manciola https://doi.org/10.3390/w10030297
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi https://doi.org/10.1080/10095020.2019.1626135
- Understanding the provision of multi-agency sensor information in disaster management: A case study on the Australian state of Victoria F. Alamdar et al. https://doi.org/10.1016/j.ijdrr.2016.10.008
- Triangulating Social Multimedia Content for Event Localization using Flickr and Twitter G. Panteras et al. https://doi.org/10.1111/tgis.12122
- A visual–textual fused approach to automated tagging of flood-related tweets during a flood event X. Huang et al. https://doi.org/10.1080/17538947.2018.1523956
33 citations as recorded by crossref.
- Estimating flood extent during Hurricane Harvey using maximum entropy to build a hazard distribution model W. Mobley et al. https://doi.org/10.1111/jfr3.12549
- Flood hazard assessment and the role of citizen science B. Sy et al. https://doi.org/10.1111/jfr3.12519
- Towards multi-agency sensor information integration for disaster management F. Alamdar et al. https://doi.org/10.1016/j.compenvurbsys.2015.11.005
- A near real-time flood-mapping approach by integrating social media and post-event satellite imagery X. Huang et al. https://doi.org/10.1080/19475683.2018.1450787
- Utilization of social media in floods assessment using data mining techniques Q. Khan et al. https://doi.org/10.1371/journal.pone.0267079
- Potenciali fotografij, posnetih s pametnim telefonom, za izmero prostovoljnih geografskih informacij M. Triglav Čekada et al. https://doi.org/10.3986/GV93104
- Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. https://doi.org/10.5194/hess-21-3597-2017
- Flood inundation forecasts using validation data generated with the assistance of computer vision P. Bhola et al. https://doi.org/10.2166/hydro.2018.044
- Primerjava uporabe prostovoljnih geografskih informacij za spremljanje poplav in potresov // Comparison of the volunteered geographic information usage to monitor floods and earthquakes M. Triglav Čekada & D. Radovan https://doi.org/10.3986/GV91207
- Building hazard maps with differentiated risk perception for flood impact assessment P. Bhola et al. https://doi.org/10.5194/nhess-20-2647-2020
- Social media analytics for natural disaster management Z. Wang & X. Ye https://doi.org/10.1080/13658816.2017.1367003
- Very Small Glaciers as Geoheritage: Combining a Spatio-Temporal Visualisation of Their Development and Related Effects of Climate Change M. Triglav Čekada et al. https://doi.org/10.1007/s12371-020-00511-1
- Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G. Cervone et al. https://doi.org/10.1080/01431161.2015.1117684
- Reconstructing Flood Inundation Probability by Enhancing Near Real-Time Imagery With Real-Time Gauges and Tweets X. Huang et al. https://doi.org/10.1109/TGRS.2018.2835306
- A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z. Li et al. https://doi.org/10.1080/15230406.2016.1271356
- A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management J. de Albuquerque et al. https://doi.org/10.1080/13658816.2014.996567
- An integrative framework for AI-supported coastal hydrodynamics monitoring and analysis R. Wang et al. https://doi.org/10.1038/s41598-025-94791-8
- The importance of volunteered geographic information for the validation of flood inundation models E. Rollason et al. https://doi.org/10.1016/j.jhydrol.2018.05.002
- A method for assessing the credibility of volunteered geographic information in case of flood crisis Q. Safariallahkheili & M. Malek https://doi.org/10.1016/j.procs.2022.09.218
- Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. https://doi.org/10.1007/s11069-023-06073-z
- Examining Community Vulnerabilities through multi-scale geospatial analysis of social media activity during Hurricane Irma A. Forati & R. Ghose https://doi.org/10.1016/j.ijdrr.2021.102701
- Mapping floods due to Hurricane Sandy using NPP VIIRS and ATMS data and geotagged Flickr imagery D. Sun et al. https://doi.org/10.1080/17538947.2015.1040474
- Advancing Earth science applications through a semi-automatic monoplotting framework for efficient 3D geo-referencing of monocular oblique visual Data B. Golparvar & R. Wang https://doi.org/10.1016/j.cageo.2025.105915
- 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. https://doi.org/10.3390/w11061284
- How Does Multi-Source Social Media Data Serve in Urban Flood Information Collection, Recognition, and Analysis? J. Wang et al. https://doi.org/10.3390/w18030405
- Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks F. Horita et al. https://doi.org/10.1016/j.cageo.2015.04.001
- Semi-supervised identification and mapping of surface water extent using street-level monitoring videos R. Wang & Y. Ding https://doi.org/10.1080/20964471.2022.2123352
- Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images L. Griesbaum et al. https://doi.org/10.5194/nhess-17-1191-2017
- Water Level Measurements from Drones: A Pilot Case Study at a Dam Site E. Ridolfi & P. Manciola https://doi.org/10.3390/w10030297
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi https://doi.org/10.1080/10095020.2019.1626135
- Understanding the provision of multi-agency sensor information in disaster management: A case study on the Australian state of Victoria F. Alamdar et al. https://doi.org/10.1016/j.ijdrr.2016.10.008
- Triangulating Social Multimedia Content for Event Localization using Flickr and Twitter G. Panteras et al. https://doi.org/10.1111/tgis.12122
- A visual–textual fused approach to automated tagging of flood-related tweets during a flood event X. Huang et al. https://doi.org/10.1080/17538947.2018.1523956
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