Objective
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 the relatively coarse resolution. Moreover, recent advances in computer vision techniques based on deep learning (DL) and novel observational opportunities can provide valuable information on both flood extent and depth in combination with RS.
STURM aims to advance urban flood knowledge by combining open RS Sentinel imagery and crowdsourcing (semantic and visual data) using DL with the ambition of overcoming the constraints of spatial resolution and limited information. STURM leverages free and newly available opportunistic observing systems providing a globally consistent, open-source-based, smart method for improved multi-source observations of hydroclimatic hazardous events in urban areas. The research objectives are to assess and accurately map urban flood extent and depth with enhanced spatial resolution (sub-pixel mapping and measurements from street-level images) and validate the methodology against real disaster events. STURM’s novel data fusion paradigm suits the demand to fill data and knowledge gaps at the urban scale while offering a benchmark solution for hydrological model validation. The DL-based pipeline combines the strengths of globally available data sources while reducing human and economic resource consumption. Global applicability, low cost, and immediate usability are methodological pillars of the STURM project that determine its high impact potential to enhance urban flood resilience and face the global hydrological challenges of the 2030s and beyond.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2022-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1911 Luxembourg
Luxembourg
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.