Space-based data-driven solutions for quantifying dynamics, drivers and quality of surface water resources across space and time
As a researcher, I am interested in the application of satellite data, remote sensing and statistical modeling for improving the management of water resources on globally significant scales. I am particularly passionate about the huge potential of time series satellite data and high performance computing for addressing the proliferation of the global freshwater and biodiversity crisis and try to communicate this with the general public as much as possible.
A recent science video about my work can be seen here: https://www.youtube.com/watch?v=68o7YTRqCSk&t=106s
See also:
http://www.mirela-tulbure.com/our-team/Valentin-Heimhuber
Primary Supervisor: Mirela Tulbure
Co-supervisor/s: Mark Broich
PUBLICATIONS
Heimhuber, V., M. G. Tulbure, and M. Broich (2017), Modeling multidecadal surface water inundation dynamics and key drivers on large river basin scale using multiple time series of Earth-observation and river flow data, Water Resour. Res., 53, 1–19, doi:10.1002/2016WR019858.
Heimhuber, V., M. G. Tulbure, and M. Broich (2016), Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data, Hydrol. Earth Syst. Sci., 20, 2227–2250, doi:10.5194/hess-20-2227-2016.
Heimhuber, V.; Hannemann (2015), J.-C.; Rieger, W. Flood Risk Management in Remote and Impoverished Areas- A Case Study of Onaville, Haiti. Water, 7, 3832-3860
Heimhuber, V.; Rieger (2015), W. GIS-Based Flood Risk Analysis for Onaville, Canaan-Haiti. gis.Science, 2, 71-82
