Earth Observation for Flood Applications

Dr. Guy Schumann is the founder and a principal scientist at RSS-Hydro. Dr. Schumann is also a Research Fellow at Geographical Sciences, University of Bristol and an affiliate at the Dartmouth Flood Observatory (DFO), INSTAAR at the University of Colorado Boulder, CO. He received both the MSc (Remote Sensing) and PhD (Geography) degrees from the University of Dundee (United Kingdom) in 2005 and 2008, respectively. Dr. Schumann has more than 15 years of experience in the field of remote sensing data integration with hydrodynamic modeling and particularly radar remote sensing and its use in flood models. Dr. Schumann has over 150 publications, including papers, book chapters, and edited books. Most of his current work and projects focusing on simulating river hydrodynamics and floodplain inundation and integration with remote sensing. Dr. Schumann is also involved in the Interoperability Program activities of the Open Geospatial Consortium (OGC)

Section 1. Monitoring and Modeling Flood Processes and Hazards
1. Earth Observation for Flood Applications: Progress and Perspectives
2. An Automatic System for Near-Real Time Flood Extent and Duration Mapping Based on Multi-Sensor Satellite Data
3. Flood Mapping with Passive Microwave Remote Sensing: Current Capabilities and Directions for Future Development
4. River Flood Modeling and Remote Sensing Across Scales: Lessons from Brazil
5. Using the Surface Water and Ocean Topography Mission Data to Estimate River Bathymetry and Channel Roughness

Section 2. Estimating Flood Exposure, Damage and Risk
6. From Cloud to Refugee Camp: A Satellite-Based Flood Analytics Case-Study in Congo-Brazzaville
7. DFO—Flood Observatory
8. How Earth Observation Informs the Activities of the Re/Insurance Industry on Managing Flood Risk
9. Flood Detection and Monitoring with EO Data Tools and Systems

Section 3. Emerging Applications and Challenges
10. Emerging Remote Sensing Technologies for Flood Applications
11. Earth Observations for Anticipatory Action: Case Studies in Hydrometeorological Hazards
12. Earth Observation and Hydraulic Data Assimilation for Improved Flood Inundation Forecasting
13. Artificial Intelligence for Flood Observation
14. The Full Potential of EO for Flood Applications: Managing Expectations
15. Emerging Techniques in Machine Learning for Processing Satellite Images of Floods
16. Merged AMSR-E/AMSR-2 and GPM Passive Microwave Radiometry for Measuring River Floods, Runoff, and Ice Cover