EoML-SlideNet: A Lightweight Framework for Landslide Displacement Forecasting with Multi-Source Monitoring Data. [PDF]
Zhang F +6 more
europepmc +1 more source
Detection and updation of landslide inventory before and during impoundment in the Baihetan reservoir area using multi-temporal InSAR datasets. [PDF]
Dun J +6 more
europepmc +1 more source
Landscape changes caused by the 2024 Noto Peninsula earthquake in Japan. [PDF]
Fukushima Y +8 more
europepmc +1 more source
Long term carbon export from mountain forests driven by hydroclimate and extreme event driven landsliding. [PDF]
Howarth JD +8 more
europepmc +1 more source
Error Correction of the RapidEye Sub-Pixel Correlation: A Case Study of the 2019 Ridgecrest Earthquake Sequence. [PDF]
Luo W +9 more
europepmc +1 more source
Frictional healing and induced earthquakes on conventionally stable faults. [PDF]
Li M, Niemeijer AR, van Dinther Y.
europepmc +1 more source
Debris flow volume prediction model based on back propagation neural network optimized by improved whale optimization algorithm. [PDF]
Ni B +6 more
europepmc +1 more source
Badland distribution as a marker of rapid tectonic activity. [PDF]
Yang CJ +5 more
europepmc +1 more source
Effects of slope instability on coseismic landslide susceptibility during earthquakes
openaire
Regional coseismic landslide hazard assessment without historical landslide inventories: A new approach [PDF]
Currently, regional coseismic landslide hazard analyses require comprehensive historical landslide inventories as well as detailed geotechnical data. Consequently, such analyses have not been possible where these data are not available. A new approach is
Tom R Robinson, Tim R H Davies
exaly +7 more sources

