Landslides are catastrophic natural hazards that often lead to loss of life, property damage,
and economic disruption. Image-based landslide investigations are crucial for determining …

Building extraction with high accuracy using semantic segmentation from high-resolution
remotely sensed imagery has a wide range of applications like urban planning, updating of …

Landslide susceptibility modeling, an essential approach to mitigate natural disasters, has
witnessed considerable improvement following advances in machine learning (ML) …

The redaction of landslide inventory is a fundamental task for risk management and
territorial planning activities. The availability of synthetic aperture radar imagery, especially …

Abstract Every year, the Western Ghats region experiences devastating landslides, resulting
in significant loss of life and damage to both private and public assets. To mitigate these …

Comprehensive identification of geological hazard risks remains one of the most important
tasks in disaster prevention and mitigation. Currently, remote sensing combined with deep …

Landslides in northern India are a frequently occurring risk during the rainy season resulting
in human, animal, and property losses as well as obstructing transportation facilities …

Currently, researchers commonly use convolutional neural network (CNN) models for
landslide remote sensing image recognition. However, with the increase in landslide …

Rainfall and freeze-thaw landslides are common occurrences on southeastern Tibet
Plateau; however, it can be difficult to categorize them via field surveys. Landslide …

Landslides are the most common and catastrophic activities in the mountainous topography
which are responsible for extensive economic and human losses. A regional-scale area …