A Knowledge-Guided Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network and Graph Contrastive Learning

H Liu, Q Ding, X Yang, Q Liu, M Deng, R Gui - Sustainability, 2024 - mdpi.com
Landslide susceptibility mapping (LSM) constitutes a valuable analytical instrument for
estimating the likelihood of landslide occurrence, thereby furnishing a scientific foundation …

The Performance of Bivariate Statistical Models in Landslide Susceptibility Mapping (Case Study: Cisangkuy Sub-Watershed, Bandung, Indonesia)

S Sukristiyanti, S Safitri, AL Hadiyanto… - Rudarsko-geološko …, 2024 - hrcak.srce.hr
Landslide occurrences are common in hilly and mountainous areas, especially in tropical
countries with high rainfall and intensive weathering. Landslide susceptibility mapping …

Mo-BAPER: A Modified TabNet Employing Global Average Pooling for Bogor Area Landslide Prediction

TI Ramdhani, RP Umbara, DN Melati… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
In this study, Mo-BAPER, a modified TabNet classifier, was developed to improve the
accuracy of landslide prediction in the Bogor region of Indonesia. The dataset used was …

The Performance of Bivariate Statistical Models in Landslide Susceptibility Mapping (Case Study: Cisangkuy Sub-Watershed, Bandung, Indonesia).

S Safitri, AL Hadiyanto, A Tohari… - Rudarsko-Geolosko …, 2024 - search.ebscohost.com
Landslide occurrences are common in hilly and mountainous areas, especially in tropical
countries with high rainfall and intensive weathering. Landslide susceptibility mapping …

[PDF][PDF] The Performance of Bivariate Statistical Models in Landslide Susceptibility Mapping (Case Study: Cisangkuy Sub-Watershed, Bandung, Indonesia)

A Tohari, IA Sadisun - hrcak.srce.hr
Landslide occurrences are common in hilly and mountainous areas, especially in tropical
countries with high rainfall and intensive weathering. Landslide susceptibility mapping …