Comparison of aerial monitoring using stereoscopic images and LIDAR for Environmental and Climate change risk applications.

It is well known that the Environmental concerns has been incorporated into our life as a new way of thinking and evolving into a more responsible society. The increase on our world knowledge demands also to develop strategies to be fast and efficient by characterizing what is changing around us. Global change studies are growingly considered a vital source of information to understand the Earth environment, especially in the framework of human-induced climate change and land use transformation. Earth observing systems and geomatics technologies provide a unique tool to monitor and model those changes. (Li and Yang 2015). The intensity of the heaviest extreme precipitation events is known to increase with global warming. How often such events occur in a warmer world is however less well established, and the combined effect of changes in frequency and intensity on the total amount of rain falling as extreme precipitation is much less explored, despite potentially large societal impacts. More intense precipitation events are widely observed to be occurring, even in places where total precipitation is decreasing. In turn this increases the risk of flooding(Myhre et al. 2019). The Aim of this Thesis is to generate relevant information trough Remote sensing analysis of the Earth surface, by a comparison between the cartographic products obtained on the based of Digital Mapping of two different technologies, Airborne Lidar, and Photogrammetry acquisition. Through different methods of software processing, Cloud filtering and the generation of Digital elevation model with statistical analysis that will bring us information about the accuracy of the processing and the differences between them. The final products will feed an Environmental Risk Analysis to understand Landslide susceptibility in the Area of Camerino, Marche province, Italy. This model considers changes in land use, slope, the recharge of water in the subsoil, precipitation, and the different types of lithology. These are the main parameters that contributes to hydrogeological instability. Consequently, the accuracy and reliability of hazard and risk susceptibility maps produced using this approach depends on part of the accuracy of slope angles that are calculated from the DEM.