Understanding Earth’s system natural processes, as well as their interaction effects with humanly induced activities – especially in the context of global climate change - has been recognised globally as a very urgent and central research direction which need further exploration.

The establishment and maintenance of long-term Earth observing programs offers inimitable opportunities for performing multi-scale and multi-sensor analysis of different Earth’s system processes and to also better understand how the processes between the different components of the Earth’s system interplay. Remote sensing data can provide temporally and spatially consistent measurements that have already demonstrated a promising potential as a means to derive information and systematically detect, map and monitor the dynamic nature of diverse Earth’s system processes.

The purpose of the proposed session is to gather scientific researchers related to this topic aiming to highlight ongoing researches iand new applications in the field. In this framework, original works concerned with the development or exploitation of advanced image processing and analysis methods applied to different types of remote sensing data for investigating nonlinear processes in all branches of Earth (sea, ice, land, atmosphere), planetary and solar system sciences are welcomed.

The conveners encourage both applied and theoretical research contributions focusing on nonlinear processes in all disciplines of geosciences.