Integration of EO and Ancillary Data for a Climate Security Scenario: The Sahel Case Study

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The impact of climate change on the security and well-being of citizens is increasingly recognized as a threat multiplier, with consequences that can have a local, regional and global impact. Earth Observation (EO) resources have long been regarded as valuable tools for understanding climate security scenarios. The emergence of technologies such as Big Data and Artificial Intelligence (AI) has provided the infrastructure and tools needed for advanced analysis. This paper demonstrates how the integration of ancillary data (e.g. statistics, economics, meteorological) and heterogeneous data could support a better understanding of climate security scenarios. The study utilizes three years of Sentinel-2 data to generate maps of areas that are more susceptible to potential flooding. Normal and anomalous situations were analyzed, exploring the temporal distribution of variables to characterize seasonal cycles in a climate security hotspot: the Sahel region.