CORDIS Project
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The STURM project aims to enhance urban flood management by integrating open remote sensing data with crowdsourced information and deep learning techniques. This approach seeks to improve the accuracy of flood extent and depth mapping, ultimately helping cities better prepare for and respond to flooding events.
Floods are major natural disasters with severe impacts in urban areas, where increasingly high population density and infrastructure together with worsening climate change trends exacerbate the risk.
Reliable and timely monitoring is critical for resilience in terms of pre-disaster preparedness, emergency response, and post-disaster relief.
Remote Sensing accurately evaluates flood extent, but data can be expensive and inaccessible.
Open RS represents a not fully exploited potential limited by t…
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