We develop a novel approach based on satellite radar images to quantify millimetre-scale sedimentation during monsoon floods over a 15 km stretch of four rivers, from the Himalayan mountain front to the gravel–sand transition. The results show how sediment accumulates more rapidly near the mountain front and decreases downstream, while the floodplain sinks. This method can improve river monitoring, enhance flood prediction, and benefit communities at risk of flooding in Nepal and India. 

In many ways, the surface of the planet Mars is similar to that of Earth. However, Mars's lower gravity has an effect on the settling and transport of sediment particles moving in water. Using specific experimental equipment to measure settling velocity aboard a parabolic flight, it was possible to observe how sediments settled in Martian gravity. These experiments served to illustrate that parabolic flights can be used as analogue environments for surface processes on Mars.

The use of new artificial intelligence (AI) techniques to learn how landscapes evolve is demonstrated. A few “snapshots” of an eroding landscape at different stages of its history provide enough information for AI to ascertain rules governing its evolution. Once the rules are known, predicting landscape evolution is extremely rapid and efficient, providing new tools to understand landscape change.

This study reports chemical weathering, physical erosion, and denudation rates from river load data in the Swabian Alb, southwestern Germany. Tributaries to the Neckar River draining to the north show higher rates than tributaries draining to the southeast into the Danube River, causing a retreat of the Swabian Alb escarpment. Observations are discussed in light of anthropogenic impact, lithology, and topography. The data are further compared to other rates over space and time and to global data.

This paper presents a novel model that predicts how gravel riverbeds may evolve in response to differences in the frequency and severity of flood events. We test our model using a 23-year-long record of river flow and gravel transport from the Swiss Prealps. We find that our model reliably captures yearly patterns in gravel transport in this setting. Our new model is a major advance towards better predictions of river erosion that account for the flood history of a gravel-bed river.

This work presents a protocol and a model to obtain the sizes of the pebbles in mountain rivers from uncrewed aerial vehicle images. A total of 12 rivers located in southeastern France were photographed to build the model. The results show that the model has little error and should be usable for similar rivers. The grain size of mountain rivers is an important parameter for environmental diagnostics by mapping the aquatic habitats and for flood management by estimating the pebble fluxes during floods.

The Armorican region (NW France) is marked by several old coastal and marine markers that are today located several tens of meters above sea level. This fact is commonly explained by sea-level variations and complex tectonic processes (e.g., mantle dynamics). In this study, we test the role of the erosion and the associated flexural (lithospheric bending) response. We show that this simple model of flexural adjustment is to be taken into account to explain the regional evolution.