Integrative Sensing Strategies for Disaster Management

Dr. Danlin Yu is a Professor at the Department of Earth and Environmental Studies, Montclair State University. Dr. Yu is a system dynamic modeler studying urban sustainability and environmental management. Dr. Yu’s study specifically focuses on geographic information analysis, cartographical design and presentation, statistical analysis, urban and regional planning, and system dynamic modeling for complex systems (including environmental, urban, and regional systems). Dr. Yu has published widely in these fields for over 100 peer-reviewed articles in high-caliber journals with wide international circulation, and three collaborative books in the field of urban development and urbanization in China.Charles Knoble is a Ph.D. Candidate at the Department of Earth and Environmental Studies, Montclair State University. Charles’s research focuses on urban sustainable development and its impact on disadvantaged communities. More specifically, Charles is interested in using GIS and statistical analysis to identify the socioeconomic impacts sustainable development projects have on traditionally underserved communities.

• 1. Introduction to Integrated Sensing in Disaster Management2. Fundamentals of Airborne Remote Sensing3. Social Data as a Disaster Management Tool4. Data Integration and Analysis5. Implementing Sensing Technologies in Disaster Zones6. Policy and Ethical Considerations of Remote Sensing of Disasters7. Air Quality Monitoring and Alarming Systems with Satellite Images and Twitter Data in New Jersey8. Urban Flooding and Public Engagement with Optical and Social Sensing9. Evaluation During COVID19 Pandemic in China – City-Scale Analysis with Nighttime Light Data and Baidu Search Index10. Lead Exposure in Urban Environments – Integrating Satellite Images, Social Sensing, and System Dynamics Simulative Models in Newark, NJ11. Future Directions and Innovations