It is a technological challenge to recognize landslides from remotely sensed (RS) images
automatically and at high speeds, which is fundamentally important for preventing and …

Accurate landslide inventory map** is essential for quantitative hazard and risk
assessment. Although multi-temporal change detection techniques have contributed greatly …

Availability of high-resolution optical imagery and advances in image processing
technologies have significantly improved our ability to map landslides. In recent years object …

Landslide inventories are important for hazard and risk analysis, as well as in facilitating
post-event recovery efforts. However, preparing these inventories is a time-consuming and …

Massive landslides over large regions can be triggered by heavy rainfalls or major seismic
events. Map** regional landslides quickly is important for disaster mitigation. In recent …

Landslide map** (LM) is essential for hazard prevention, mitigation, and vulnerability
assessment. Despite the great efforts over the past few years, there is room for improvement …

Systematic and timely documentation of triggered (ie event) landslides is fundamental to
build extensive datasets worldwide that may help define and/or validate trends in response …

Rainfall-induced landslide inventories can be compiled using remote sensing and
topographical data, gathered using either traditional or semi-automatic supervised methods …

Pixel-based convolutional neural network (CNN) has demonstrated good performance in the
classification of very high resolution images (VHRI) from which abstract deep features are …

Landslides that take place in mountain cities tend to cause huge casualties and economic
losses, and a precise survey of landslide areas is a critical task for disaster emergency …