• Automated digital data acquisition for landslide inventories 

      Kreuzer, Thomas M.; Damm, Bodo (Landslides, 2020-06-11)
      Landslide research relies on landslide inventories for a multitude of spatial, temporal, or process analyses. Generally, it takes high effort to populate a landslide inventory with relevant data. In this context, the present ...
    • Information‐Based Machine Learning for Tracer Signature Prediction in Karstic Environments 

      Mewes, B.; Oppel, H.; Marx, V.; Hartmann, A. (Water Resources Research, 2020-02-03)
      Karstic groundwater systems are often investigated by a combination of environmental or artificial tracers. One of the major downsides of tracer‐based methods is the limited availability of tracer measurements, especially ...
    • The Kalmag model as a candidate for IGRF-13 

      Baerenzung, Julien; Holschneider, MatthiasORCIDiD; Wicht, Johannes; Lesur, Vincent; Sanchez, Sabrina (Earth, Planets and Space, 2020-10-29)
      We present a new model of the geomagnetic field spanning the last 20 years and called Kalmag. Deriving from the assimilation of CHAMP and Swarm vector field measurements, it separates the different contributions to the ...