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Impacted by the changing climate, heavier rainfall and sea-level rise, floods are becoming more extreme and more frequent, posing a critical threat and challenge in many parts of the world. In order to mitigate the impacts of flooding events, hydrological models provide actionable data and information on risk and vulnerability which can be used by decision-makers and emergency services to target activities and efforts. However, to develop more accurate and location-specific models, spatial data on the extent of past flooding events is critical in order to calibrate the models and validate the modeled results. Satellite images provide an objective and consistent source of information, and state-of-art image analysis provides an efficient means to map the extent of flooding events at any given time. Furthermore, as another critical parameter in many flood-related hydrological models, soil moisture content can be effectively and accurately mapped in 10-meter spatial resolution from satellite data.

During this 45 minutes' free webinar (including Q&A), you will receive an introduction to: a novel approach to rapidly map the extent of flooding events in high spatial resolution; cutting edge approach to estimate soil moisture content. You will gain insight into the methodologies behind the technology and learn how the data can be used in hydrological models as well as for other purposes, i.e. operational emergency response.

In summary:
• Providing insight on two satellite-based approaches to 1) map flood extent and 2) estimate soil moisture
• Understand how this can be used for calibration/validation of hydrological models as well as other purposes
• “Questions & Answers” to the expert

The webinar will take place on Tuesday, 17 December, 2019 - in two time slots.

We look forward to your participation!
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Laust Færch
Remote sensing specialist @DHI GRAS
Laust works as a remote sensing specialist and has comprehensive knowledge and experience with satellite image analysis and processing. He has specialized knowledge within the application of Synthetic Aperture Radar (SAR) data and primary responsibility for developing novel approaches to map and monitor flooding events and measure soil moisture content, using SAR data.