Global changes urgently require advanced strategies to monitor geomorphic changes, identify critical areas and design strategies to mitigate impacts on those areas. A clear example is soil erosion, i.e. both, natural and man-made disturbances affecting the sedimentary flows represent key topics. Advances in data acquisition sensors and platforms together with new developments to treat and analyse geospatial offer opportunities to understand surface processes, identify sustainable and effective solutions, and mitigate impacts associated with global changes. In addition, massive amounts of open-source data, such as those provided by international space programs, are now available. Multi-temporal high resolution (4D) remote sensing (RS) techniques are continuously providing new opportunities to monitor and analyze landscape deformations and changes and infer the processes re-shaping them. 4DRS offers the opportunity to isolate landscape compartments at the appropriate temporal and spatial scale at which processes occur.
We intend to provide a platform for collaboration and discussion among soil scientists, hydrologists, geomorphologists and stakeholders with the objective of facilitating a dialogue on how emerging techniques must be efficiently used to detect critical changes, and analyze physical processes occurring on landscapes.
This session is open but not limited to the following topics: i) innovative tools for monitoring with 4DRS techniques the morphological changes, quantifying geomorphic processes, soil erosion and assessment of land degradation; ii) data-fusion of different RS technologies (e.g., LiDAR, photogrammetry, GNSS, multispectral images) and platforms (e.g., UAV, satellite, airborne, ground-based) to design and implement 4D surveys with multiscale approaches, evaluating their respective pros and cons, and focusing also on future opportunities; iii) workflows focusing on soil erosion and mass movements dynamics, especially facing new challenges in measuring, modelling, and defining protocols and procedures through the support of the 4DRS techniques; and iv) synergistic use of up-to-date RS surveys derived from multisource data integration (e.g., multispectral, hyperspectral, and thermal) that can be exploited as benchmarks and inputs for spatial-distributed models to support the prediction of the possible evolution scenarios. Early career scientists are encouraged to contribute to the session with original and advanced studies.