Advances in Monitoring and Modeling of Soil Erosion Processes and Land Degradation

Soil erosion is a key hydro-geological hazard and a primary cause of land degradation around the world, and it is increasing due to the combined pressures of climate change and human activity. Recently, advances in remote sensing techniques and UAV platforms have provided an opportunity to investigate the distribution of geomorphological processes and short-term evolution of dynamic landscapes at different spatial and temporal scales. Such innovative tools can support traditional approaches to estimating soil loss (experimental plots, erosion pins, and sediment traps), providing invaluable tools for quantifying short-term erosion processes of dynamic or degraded landscapes.This Research Topic aims to consolidate interdisciplinary works on the quantification and modeling of soil loss and short-term erosion processes across different landscapes, including the evolution of slope, rill and gullies landforms. The Research Topic seeks to gather contributions that utilize multi-temporal analysis and innovative datasets to estimate landscape evolution, geomorphic processes, and topographic changes at various spatial scales. Research works emphasizing the advancement from empirical equations, such as the Revised Universal Soil Loss Equation (RUSLE), to dynamic and process-based simulations/models are also welcomed.Relevant contributions should include innovative approaches and the application of models to:• Estimate spatial distribution and rates of geomorphic processes across different environments and cultural heritage using remote sensing techniques and multi-temporal analysis of high-resolution datasets.• Reconstruct using UAV and TLS platforms.• Apply empirical or physical models such as RUSLE, USPED, SIMWE, WEPP, and FLO-2D to investigate landscape dynamics.• Extract parameters to evaluate the impact of anthropogenic activities, such as intensive cultivation and recreational trail use, on land degradation.• Safeguard archaeological sites and historical sites from erosion-driven instability. Topic editors: Dario Gioia, Antonio Minervino Amodio, Giuseppe Corrado Source: https://www.frontiersin.org/research-topics/77056/advances-in-monitoring-and-modeling-of-soil-erosion-processes-and-land-degradation