About
Dr Antara Dasgupta
With the growing volume of hydrological data available through satellite remote sensing and crowd-sourcing to improve flood forecasting skill, more advanced techniques are needed. Dr Antara Dasgupta’s research integrated remote sensing derived water levels with a 2D hydrodynamic model using data assimilation for flooding in both Australia and India. The water levels were calculated by combining flood maps derived from optical and synthetic-aperture radar imagery with topography, and additionally from crowd sourced images. The effect of the inclusion of crowd-sourced information on the modelling was also be evaluated.
Antara is currently a postdoctoral research associate at the University of Osnabrück in Germany.
Student project
Climate change has resulted in an observable increase in the number of extreme weather events leading to widespread flooding. In this scenario, it is critical to efficiently utilise the growing volume of hydrological data available through satellite remote sensing and crowd-sourcing to improve flood forecasting skill. As the number of diverse data sources grow, more advanced techniques need to be employed in order to quantify and reduce the associated uncertainties.
Resources credited
| Type | Released | Title | Download | Key Topics |
|---|---|---|---|---|
| Presentation-Slideshow | 24 Oct 2016 | Improving flood forecast skill using remote sensing data |
 Save (3.16 MB) |
flood, forecasting, remote sensing |
