Articles | Volume 14, issue 4
https://doi.org/10.5194/nhess-14-1007-2014
© Author(s) 2014. 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-14-1007-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Road assessment after flood events using non-authoritative data
E. Schnebele
Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA
G. Cervone
Department of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA 16802, USA
N. Waters
Center for Excellence in GIS, George Mason University, Fairfax, VA 22030, USA
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- A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management L. F. G. de Assis et al. 10.3390/s18061689
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- 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
- Impacts of Urban Floods on Road Connectivity - A Review and Systematic Bibliometric Analysis A. Kadaverugu et al. 10.12944/CWE.16.2.22
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- Formal and informal environmental sensing data and integration potential: Perceptions of citizens and experts Q. Jiang et al. 10.1016/j.scitotenv.2017.10.329
- Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood E. Sava et al. 10.3390/rs15061615
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- Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction J. Gutenson et al. 10.1061/(ASCE)NH.1527-6996.0000240
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- Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand J. Le Coz et al. 10.1016/j.jhydrol.2016.07.036
- A simple framework for calibrating hydraulic flood inundation models using Crowd-sourced water levels A. Dasgupta et al. 10.1016/j.jhydrol.2022.128467
- E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time C. Havas et al. 10.3390/s17122766
- Big data and disaster management: a systematic review and agenda for future research S. Akter & S. Wamba 10.1007/s10479-017-2584-2
- Towards multi-agency sensor information integration for disaster management F. Alamdar et al. 10.1016/j.compenvurbsys.2015.11.005
- Processing unstructured documents and social media using Big Data techniques V. Diaconita 10.1080/1331677X.2015.1095110
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al. 10.1080/13658816.2022.2048835
- A geographical and content-based approach to prioritize relevant and reliable tweets for emergency management A. Suarez & K. Clarke 10.1080/15230406.2022.2081257
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68 citations as recorded by crossref.
- A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding L. See 10.3389/feart.2019.00044
- 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
- Understanding the provision of multi-agency sensor information in disaster management: A case study on the Australian state of Victoria F. Alamdar et al. 10.1016/j.ijdrr.2016.10.008
- Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness F. Yuan et al. 10.1088/2634-4505/ac7251
- A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management L. F. G. de Assis et al. 10.3390/s18061689
- A visual–textual fused approach to automated tagging of flood-related tweets during a flood event X. Huang et al. 10.1080/17538947.2018.1523956
- Rapid flood inundation mapping using social media, remote sensing and topographic data J. Rosser et al. 10.1007/s11069-017-2755-0
- Validation of flood risk models: Current practice and possible improvements D. Molinari et al. 10.1016/j.ijdrr.2018.10.022
- VRBagged-Net: Ensemble Based Deep Learning Model for Disaster Event Classification M. Hanif et al. 10.3390/electronics10121411
- Technologies to Support Community Flood Disaster Risk Reduction I. McCallum et al. 10.1007/s13753-016-0086-5
- Social media analytics for natural disaster management Z. Wang & X. Ye 10.1080/13658816.2017.1367003
- 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
- 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
- Impacts of Urban Floods on Road Connectivity - A Review and Systematic Bibliometric Analysis A. Kadaverugu et al. 10.12944/CWE.16.2.22
- Harvesting Social Media for Generation of Near Real-time Flood Maps D. Eilander et al. 10.1016/j.proeng.2016.07.441
- Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al. 10.1016/j.cageo.2017.10.010
- Formal and informal environmental sensing data and integration potential: Perceptions of citizens and experts Q. Jiang et al. 10.1016/j.scitotenv.2017.10.329
- Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood E. Sava et al. 10.3390/rs15061615
- 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. 10.1016/j.cageo.2015.04.001
- Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis A. Safaei-Moghadam et al. 10.5194/nhess-23-1-2023
- A molecular sensing method integrated with support vector machines to characterize asphalt mixtures B. Jahangiri et al. 10.1016/j.measurement.2021.109528
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- Harnessing trustable crowdsourcing power for flood disaster evaluation S. Abbasi et al. 10.1007/s11069-024-06547-8
- Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan M. Boschetti et al. 10.3390/rs70606535
- Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding F. Yuan et al. 10.1016/j.compenvurbsys.2022.101870
- 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
- Visualization and Interaction with Multiple Devices. A Case Study on Reachability of Remote Areas for Emergency Management J. Tost & F. Heidmann 10.1515/icom-2017-0027
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- Flood Impact Assessments on Transportation Networks: A Review of Methods and Associated Temporal and Spatial Scales A. Rebally et al. 10.3389/frsc.2021.732181
- Quantifying urban flood extent using satellite imagery and machine learning R. Composto et al. 10.1007/s11069-024-06817-5
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- Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications G. Esposito et al. 10.3390/w11122663
- Validating the Quality of Volunteered Geographic Information (VGI) for Flood Modeling of Hurricane Harvey in Houston, Texas T. Chow et al. 10.3390/hydrology10050113
- Smartphone-based molecular sensing for advanced characterization of asphalt concrete materials K. Barri et al. 10.1016/j.measurement.2019.107212
- Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network J. de Bruijn et al. 10.1016/j.cageo.2020.104485
- Geoinformation Harvesting From Social Media Data: A community remote sensing approach X. Zhu et al. 10.1109/MGRS.2022.3219584
- Opportunities for crowdsourcing in urban flood monitoring A. Helmrich et al. 10.1016/j.envsoft.2021.105124
- A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management J. de Albuquerque et al. 10.1080/13658816.2014.996567
- The March 2015 catastrophic flood event and its impacts in the city of Copiapó (southern Atacama Desert). An integrated analysis to mitigate future mudflow derived damages T. Izquierdo et al. 10.1016/j.jsames.2020.102975
- 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
- Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review K. Azizi et al. 10.1016/j.uclim.2022.101237
- Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data J. Jiang et al. 10.3390/rs12061014
- A near real-time flood-mapping approach by integrating social media and post-event satellite imagery X. Huang et al. 10.1080/19475683.2018.1450787
- Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture X. Huang et al. 10.1080/17538947.2019.1633425
- Utilising social media data to evaluate urban flood impact in data scarce cities K. Guo et al. 10.1016/j.ijdrr.2023.103780
- Supervised classification of civil air patrol (CAP) E. Sava et al. 10.1007/s11069-016-2704-3
- 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
- Investigating Uncertainty in Developing Regional Building Inventories for Flood Damage Prediction J. Gutenson et al. 10.1061/(ASCE)NH.1527-6996.0000240
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- Using crowdsourced and weather station data to fill cloud gaps in MODIS snow cover datasets J. Kadlec & D. Ames 10.1016/j.envsoft.2017.06.002
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- A simple framework for calibrating hydraulic flood inundation models using Crowd-sourced water levels A. Dasgupta et al. 10.1016/j.jhydrol.2022.128467
- E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time C. Havas et al. 10.3390/s17122766
- Big data and disaster management: a systematic review and agenda for future research S. Akter & S. Wamba 10.1007/s10479-017-2584-2
- Towards multi-agency sensor information integration for disaster management F. Alamdar et al. 10.1016/j.compenvurbsys.2015.11.005
- Processing unstructured documents and social media using Big Data techniques V. Diaconita 10.1080/1331677X.2015.1095110
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges Y. Feng et al. 10.1080/13658816.2022.2048835
2 citations as recorded by crossref.
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- Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations N. Bastian et al. 10.1007/s11590-015-0888-1
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