Precise and accurate monitoring of dynamic surface processes is a critical step in understanding landscape evolution. Models of landscape evolution (at all scales) now require high-resolution spatial and temporal data, particularly during extreme events where standard methods typically return no or sparse information. The use of geophysical sensors (eg, seismometers, GPS receivers, shallow geophysical tomography) has revealed a great potential for a continuous monitoring of dynamic processes. Such techniques will help quantify the process rules for modeling and understanding landscape evolution, translating geophysical data into geomorphic observations.

We invite contributions from scientists that study any kind of geophysical data that have the potential to provide high-resolution data that tackle the dynamics of surface processes. Dedicated as well as non-dedicated experiments, in laboratory or in field are welcome.