• Corpus ID: 237635045

Feasibility study of urban flood mapping using traffic signs for route optimization

@article{Kharazi2021FeasibilitySO,
  title={Feasibility study of urban flood mapping using traffic signs for route optimization},
  author={B. Kharazi and Diya Li and Zhe Zhang and Amir H. Behzadan},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.11712}
}
Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood emergency management, timely and effective spatial decision-making and intelligent routing depend on flood depth information at a fine spatiotemporal scale. In this paper, crowdsourcing is utilized to collect photos of submerged stop signs, and pair each photo with… 
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References

SHOWING 1-10 OF 57 REFERENCES

Flood depth mapping in street photos with image processing and deep neural networks

Estimating Floodwater Depths from Flood Inundation Maps and Topography

Information on flood inundation extent is important for understanding societal exposure, water storage volumes, flood wave attenuation, future flood hazard, and other variables. A number of…

A near real-time flood-mapping approach by integrating social media and post-event satellite imagery

TLDR
Results indicate that, by adding the wetness information from post-event satellite observations, the proposed model could provide near real- time flood probability distribution with real-time social media, which is of great importance for emergency responders to quickly identify areas in need of immediate attention.

Enabling obstacle avoidance for Google maps' navigation service

TLDR
This paper proposes and implements a method for performing shortest path calculations taking crowdsourced information, in the form of constraints and obstacles, into account on top of Google Maps and uses its routing service to calculate the shortest distance between two locations.

Flood water depth estimation — A survey

TLDR
This paper provides a detailed compilation of the methods that can be used for the estimation of flood water depth and identifies the best method based on various attributes such as implementation methods, advantages, accuracy and cost.

Floodplain mapping using hydraulic simulation model in GIS

In this research, a methodology was applied to integrate hydraulic simulation model, HEC-RAS and GIS analysis for delineation of flood extents and depths within a selected reach of Zaremroud River in…

An adaptive evacuation route algorithm under flood disaster

Adaptive Evacuation Route Algorithm (AERA) is proposed in this paper considering the effect of dynamic water depth on people’s evacuation behavior such as evacuation time and walking speed under a…

Uncertainty in Flood Inundation Mapping: Current Issues and Future Directions

This paper presents key issues associated with uncertainty in flood inundation mapping. Currently flood inundation extent is represented as a deterministic map without consideration to the inherent…

The Application of Geo-Technologies after Hurricane Katrina

Geographic Information (GI) Science accelerated and enhanced decision-making in the emergency response after Hurricane Katrina. Since most of the information needed in disaster management has a…

Remote sensing and GIS technologies for monitoring and prediction of disasters

TLDR
This book discusses the use of remote sensing technology, outlines major bottlenecks associated with them, and suggests approaches for secured information sharing and access in various stages of the disaster management process.
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