Earth observation technologies have great potential in the investigation, monitoring and
assessment of various geohazards. Stacking is an efficient InSAR method for estimating …

The slip-surface geometry and volume of landslides are fundamental for landslide modeling
and mechanism interpretation. The movement of a landslide, which is generally controlled …

Abstract Complete three‐dimensional (3‐D) movements of slow‐moving landslides are
critical to enhancing the understanding of the landslide mechanism. Multi‐source synthetic …

Landslide susceptibility analysis at the regional scale is the focus of landslide risk
management. To obtain more accurate and guiding significance results of landslide …

With the advancements of technology in the era of Big Data and artificial intelligence,
Internet of Things (IoT) has a major role for the purpose of monitoring natural disasters like …

The mountainous Pacific Northwest is prone to heavy winter rainfall, resulting in hundreds of
landslides per year, human casualties, and billions of dollars of property damage …

Slope instability in reservoir areas is one of the greatest concerns for public and
governments worldwide. The long-time evolution of the unstable slopes in reservoir areas …

SAR Interferometry (InSAR) proves to be effective for investigating landslides. However, its
measurement accuracy is largely limited by the complex atmospheric delay distortion in …

The existing neural network model in urban land-subsidence prediction is over-reliant on
historical subsidence data. It cannot accurately capture or predict the fluctuation in the …

Early detection of landslides is important for prevention and mitigation of landslide disasters.
Especially, accurately identifying potential landslides along high‐speed railway is becoming …