Landslide detection, monitoring and prediction with remote-sensing techniques
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
[HTML][HTML] Landslide identification using machine learning
Landslide identification is critical for risk assessment and mitigation. This paper proposes a
novel machine-learning and deep-learning method to identify natural-terrain landslides …
novel machine-learning and deep-learning method to identify natural-terrain landslides …
Review on remote sensing methods for landslide detection using machine and deep learning
Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …
slope movement. In the past decades, due to inflation of urbanized area and climate change …
Rainfall induced landslide studies in Indian Himalayan region: a critical review
Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …
affected several mountainous regions across the globe. The Indian Himalayan region is no …
Machine learning for landslides prevention: a survey
Landslides are one of the most critical categories of natural disasters worldwide and induce
severely destructive outcomes to human life and the overall economic system. To reduce its …
severely destructive outcomes to human life and the overall economic system. To reduce its …
Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
HR Pourghasemi, N Kerle - Environmental earth sciences, 2016 - Springer
In many parts of the world, landslide susceptibility remains inadequately mapped, due to the
lack of both data and suitable methods for widespread implementation. Iran is one of those …
lack of both data and suitable methods for widespread implementation. Iran is one of those …
Landslide recognition by deep convolutional neural network and change detection
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 …
automatically and at high speeds, which is fundamentally important for preventing and …
A landslide extraction method of channel attention mechanism U-Net network based on Sentinel-2A remote sensing images
H Chen, Y He, L Zhang, S Yao, W Yang… - … Journal of Digital …, 2023 - Taylor & Francis
Accurate landslide extraction is significant for landslide disaster prevention and control.
Remote sensing images have been widely used in landslide investigation, and landslide …
Remote sensing images have been widely used in landslide investigation, and landslide …