Landslide identification using machine learning techniques: Review, motivation, and future prospects
Abstract The WHO (World Health Organization) study reports that, between 1998-2017, 4.8
million people have been affected by landslides with more than 18000 deaths. The …
million people have been affected by landslides with more than 18000 deaths. The …
A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset
As artificial intelligence (AI) techniques are becoming more popular in landslide modeling, it
is important to understand how decisions are made. Fairness, and transparency becomes …
is important to understand how decisions are made. Fairness, and transparency becomes …
Rapid landslide extraction from high-resolution remote sensing images using SHAP-OPT-XGBoost
N Lin, D Zhang, S Feng, K Ding, L Tan, B Wang… - Remote Sensing, 2023 - mdpi.com
Landslides, the second largest geological hazard after earthquakes, result in significant loss
of life and property. Extracting landslide information quickly and accurately is the basis of …
of life and property. Extracting landslide information quickly and accurately is the basis of …
GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India
Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …
Deep learning and machine learning models for landslide susceptibility mapping with remote sensing data
Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …
and China that holds socio-economic and strategic significance. However, KKH has extreme …
[HTML][HTML] Monitoring land subsidence using PS-InSAR technique in Rawalpindi and islamabad, Pakistan
Land subsidence is a major concern in vastly growing metropolitans worldwide. The most
serious risks in this scenario are linked to groundwater extraction and urban development …
serious risks in this scenario are linked to groundwater extraction and urban development …
[HTML][HTML] PS-InSAR based monitoring of land subsidence by groundwater extraction for Lahore Metropolitan City, Pakistan
Groundwater dynamics caused by extraction and recharge are one of the primary causes of
subsidence in the urban environment. Lahore is the second largest metropolitan city in …
subsidence in the urban environment. Lahore is the second largest metropolitan city in …
Prediction of mine subsidence based on InSAR technology and the LSTM algorithm: A case study of the Shigouyi Coalfield, Ningxia (China)
F Ma, L Sui, W Lian - Remote Sensing, 2023 - mdpi.com
The accurate prediction of surface subsidence induced by coal mining is critical to
safeguarding the environment and resources. However, the precision of current prediction …
safeguarding the environment and resources. However, the precision of current prediction …
GIS-based landslide susceptibility mapping of the Meghalaya-Shillong Plateau region using machine learning algorithms
Landslides are a common geological hazard causing impairment of public works and loss of
lives worldwide and in India, especially in the Himalayan region. The present study aims to …
lives worldwide and in India, especially in the Himalayan region. The present study aims to …
Evaluation of landslide susceptibility based on CF-SVM in Nujiang Prefecture
Y Li, X Deng, P Ji, Y Yang, W Jiang, Z Zhao - International Journal of …, 2022 - mdpi.com
At present, landslide susceptibility assessment (LSA) based on landslide characteristics in
different areas is an effective measure for landslide management. Nujiang Prefecture in …
different areas is an effective measure for landslide management. Nujiang Prefecture in …