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  Information - NH11.05 Satellite radar images, multisensor approaches and numerical weather modelling for flood mapping and forecasting.

Event Information
Detection of surface water and estimation of soil moister from remote sensed data can offer a useful support for flood-forecasting and modelling. Operational flood management and planning of flood protective structures require detailed spatial and temporal information when flooding is active. The sensitivity of satellite imaging synthetic aperture radars (SARs) to surface water and soil moisture has been demonstrated. The challenge lies
in developing robust methods for surface water detection and soil moister estimation independently of sensor platform and ground cover conditions. Optical satellite data offers the simplest methods for water body detection and land cover classification. A major drawback is that clouds, haze and atmospheric conditions limit their use to clear sky-conditions. However, optical satellite data, and other sources of auxiliary information are valuable for interpretation and for determining the optimal classification approach of the SAR imagery. As surface water and soil moisture estimates are becoming more available, the challenge is to exploit these data sourced in flood forecasting and flood modelling. The session will focus on 1) methods for surface water detection and soil moisture estimation based on satellite radar images and multisenor approaches. 2) Data assimilation of satellite remote sensing data into flood forecasting and flood modelling. 3) User and system requirements for operational flood-mapping services. 4) Application of weather radar to flood forecasting. 5) Combining numerical weather models with hydrological models in flood forecasting

Preliminary List of Solicited Speakers
H. Bach, Data assimilation of remotely sensed information in operational flood forecast in Southwest Germany

G. Blöschl, Potential of satellite data in flood forecasting

Co-Sponsorship

General Statement
The information contained hereafter has been compiled and uploaded by the Session Organizers via the "Organizer Session Form". The Session Organizers have therefore the sole responsibility that this information is true and accurate at the date of publication, and the conference organizer cannot accept any legal responsibility for any errors or omissions that may be made, and he makes no warranty, expressed or implied, with regard to the material published.



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