Global Production of the 2022 Copernicus Emergency Management Service (CEMS) Exposure Mapping Component Built-up product (EMC-BUILT)

Kurzfassung

Earth observation data gained from the and Sentinel-2 satellites play a pivotal role in understanding the changing patterns and dynamics of urban landscapes and environments. Multi-user requirements on European and global scales demand observing diverse variables like soil sealing, building densities, building usage, and typology. Impervious surfaces, such as roads, buildings, and pavements, significantly impact urban ecosystems but provide indispensable information about the location, size, and dynamic of human settlements relevant for emergency services. We address these requirements with a versatile and Copernicus-production-proven framework using state-of-the-art deep-learning-based image analysis techniques to leverage the full potential of Sentinel-1 and Sentinel-2 time series data, combining highly efficient and noise-reducing time-series parameterization methodologies with a modified deep convolutional neural network called U-Net.