Special Issue on “Mapping and Monitoring of Geohazards”

[8], provides a landslide hazard assessment along the Yarlung Tsangpo River basin (Tibet Autonomous Region, China) using unmanned aerial vehicle (UAV) imagery. [...]the paper by Xing et al. The authors present a new dynamic forecasting model based on variational mode decomposition (VMD) and a stack long short-term memory (SLSTM) network, which achieves a higher forecast accuracy than two other advanced forecast models (long short-term memory (LSTM) network and empirical mode decomposition (EMD)-LSTM network). The increased provision of data and associated processing techniques has clearly had a significant impact within the scientific community, which is reflected by the rapid growth of the number of papers in journals, books, and series on the use of EO for geohazards studies (Figure 1).