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 …
A small attentional YOLO model for landslide detection from satellite remote sensing images
L Cheng, J Li, P Duan, M Wang - Landslides, 2021 - Springer
The use of high-spatial-resolution remote sensing image technology on mobile and
embedded equipment is an important and effective way for emergency rescue and …
embedded equipment is an important and effective way for emergency rescue and …
[HTML][HTML] HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection
Efficient landslide mapping from high spatial resolution images is important in many
practical applications, such as emergency response. Numerous studies and methods have …
practical applications, such as emergency response. Numerous studies and methods have …
Landslide mapping using object-based image analysis and open source tools
Availability of high-resolution optical imagery and advances in image processing
technologies have significantly improved our ability to map landslides. In recent years object …
technologies have significantly improved our ability to map landslides. In recent years object …
Data-driven landslide nowcasting at the global scale
TA Stanley, DB Kirschbaum, G Benz… - Frontiers in Earth …, 2021 - frontiersin.org
Landslides affect nearly every country in the world each year. To better understand this
global hazard, the Landslide Hazard Assessment for Situational Awareness (LHASA) model …
global hazard, the Landslide Hazard Assessment for Situational Awareness (LHASA) model …
HazMapper: a global open-source natural hazard mapping application in Google Earth Engine
CM Scheip, KW Wegmann - Natural Hazards and Earth …, 2021 - nhess.copernicus.org
Modern satellite networks with rapid image acquisition cycles allow for near-real-time
imaging of areas impacted by natural hazards such as mass wasting, flooding, and volcanic …
imaging of areas impacted by natural hazards such as mass wasting, flooding, and volcanic …
Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network
Landslide susceptibility prediction (LSP) modeling is an important and challenging problem.
Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited …
Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited …
The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing
A catastrophic landslide occurred on 21 July 2020, 30 km from Enshi city, in Mazhe County
of Hubei province, China. In this paper, we aimed to investigate the kinematic evolution and …
of Hubei province, China. In this paper, we aimed to investigate the kinematic evolution and …
[HTML][HTML] Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
R Emberson, DB Kirschbaum… - … Hazards and Earth …, 2022 - nhess.copernicus.org
Landslides are a key hazard in high-relief areas around the world and pose a risk to
populations and infrastructure. It is important to understand where landslides are likely to …
populations and infrastructure. It is important to understand where landslides are likely to …