Digital Commons Network^™

Flood Detection Using Multi-Modal And Multi-Temporal Images: A Comparative Study, Kazi Aminul Islam, Mohammad Shahab Uddin, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Natural disasters such as flooding can severely affect human life and property. To provide rescue through an emergency response team, we need an accurate flooding assessment of the affected area after the event. Traditionally, it requires a lot of human resources to obtain an accurate estimation of a flooded area. In this paper, we compared several traditional machine-learning approaches for flood detection including multi-layer perceptron (MLP), support vector machine (SVM), deep convolutional neural network (DCNN) with recent domain adaptation-based approaches, based on a multi-modal and multi-temporal image dataset. Specifically, we used SPOT-5 and RADAR images from the flood event that …

Fostering University Collaboration And Building Capacity To Respond To Coastal Resilience Challenges In Virginia: Findings From The Rotating Resilience Roundtables Workshop Spring 2019, Wie Yusuf, Michelle Covi, Anamaria Bukvic, Tom Allen, Taiwo Oguntuyo

Presentations, Lectures, Posters, Reports

[from Background and Overview]

Communities in coastal Virginia, particularly in the urban region of Hampton Roads and the rural Eastern Shore peninsula, are experiencing the impacts of climate change as part of everyday life. Among the most apparent impacts are sea level rise and associated flooding, but increasingly residents of the region are observing changing ecosystems, health impacts and complex social challenges are made more difficult. The region is experiencing the fastest rate of relative sea level rise on the U.S. east coast due to interactions between ocean currents, global sea level rise, high-water tables and ground subsidence (Adapt Virginia …

Flood Risk Communications - An Emergency Management Perspective, Robb Braidwood

July 24, 2015: Communicating Frequent Flooding

No abstract provided.

Learning To Live With Changing Climate And Rising Sea Levels, Mitigation & Adaption Research Institute (Mari), Old Dominion University

MARI Documents

In support of the development of the Mitigation and Adaptation Research Institute, MARI, the proposal writing team developed a survey to elicit stakeholder comment. The survey was conducted using the internet-­‐based survey tool, Qualtrics, hosted by Old Dominion University and was available from February 26 to March 21, 2014

The survey was distributed to approximately 550 stakeholders who were identified through their participation in previous climate change adaptation events, local government contacts and email lists. Recipients were asked to invite interested colleagues or other contacts to participate in the survey by forwarding the solicitation email. One hundred and eleven responses …