Floods are the natural hazards that produce the highest number of casualties and material damage in the Western Mediterranean, especially in Morocco. An improvement in flood risk assessment and study of a possible increase in flooding occurrence are therefore needed. Earth Observation big data such as the ones acquired by the Copernicus programme are providing unprecedented opportunities to detect changes and assess economic impacts in case of disasters. This article present the different results obtained by the multi-temporal methods using the Synthetic Aperture Radar images. The spaceborne Synthetic Aperture Radar (SAR) systems are suitable tools for flood mapping thanks to their daytime and nighttime and almost all-weather imaging capability, in addition to their sensitivity to surface roughness and to Flood monitoring. The method has been developed to exploit Sentinel-1 data. It has been tested for the 2018 flood of Tetouan (Morocco).

This research aims to create and manage a database structure to record, analyze and produce spatial and attribute data on the caves of the Atlas Mountains in Morocco. The database model is developed as a Geodatabase for use in ArcGIS. Traditionally, cave scientists, or speleologists, have collected various data in multiple formats. In many cases, researchers collect the same data using different methodologies. This is undesirable, not only from the repetition of work, but perhaps more important because many more scientifically interesting caves are fragile environments that they cannot tolerate the collection of additional and especially redundant data. In addition, the geodatabase provides a common data format for sharing and sharing data between researchers.