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In this talk, we want to showcase the current results of the research and development project SenSituMon. SenSituMon aims to automatically calculate flood masks using data from the Copernicus program and additional in-situ data (e.g. INSPIRE data and sensor networks). The overall goal is to establish methods, processes, and tools to quickly calculate flood mask after strong rainfalls in order to be able to perform a first assessment of the affected area. By including additional data, e.g., digital elevation models, water levels, and data from weather prognoses, the flood mask can potentially be augmented to allow a better assessment of the possible damage and overall situation. That helps stakeholders to early answer crucial questions such as the calculated amount of potential insurance refunds. Therefore, stakeholders from insurance companies, private business, and the public sector are included in the project to provide and formulate their requirements.
To cope with the large amounts of data, SenSituMon aims to establish a hybrid infrastructure that interconnects Earth Observation Infrastructures and Spatial Data Infrastructures. Attendees can expect a first look at the necessary processing patterns and challenges that arise from the need to interconnect the emerging Copernicus DIAS platforms and the existing spatial data infrastructures from the INSPIRE context.
The project is (partly) sponsored by the German Ministry for Economic Affairs and Energy (BMWi) managed by the German Aerospace Center (Deutsches Luft- und Raumfahrtzentrum).
Topic Area: [1.2] Environmental monitoring and reporting Abstract Type: Oral Presentation
Academic: Yes Data Provider: Yes Data User: Yes INSPIRE Implementer (IT): No INSPIRE newbies: No Policy Officers: No Public Administration (MS/Regional/Local): Yes Thematic specialists: Yes Comments: INSPIRE, Copernicus, Open Data, Environmental Monitoring, Flood Masks, Remote Sensing
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