[HTML][HTML] Identifying Factors Influencing Surface Deformations from Underground Mining Using SAR Data, Machine Learning, and the SHAP Method

K Cieślik, W Milczarek, E Warchala, P Kosydor… - Remote Sensing, 2024 - mdpi.com
The article presents the results of significance analyses of selected mining and geological
variables for an area of underground mining activity. The study area was a region of an …

Identification of potential landslide in Jianzha county based on InSAR and deep learning

X Yang, D Chen, Y Dong, Y Xue, K Qin - Scientific Reports, 2024 - nature.com
Landslide disasters have characteristics of frequent occurrence, widespread impact, and
high destructiveness, posing serious threats to human lives, property, and the ecological …

[HTML][HTML] Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region

M Ullah, B Tang, W Huangfu, D Yang, Y Wei, H Qiu - Land, 2024 - mdpi.com
The reliability of data-driven approaches in generating landslide susceptibility maps
depends on data quality, analytical method selection, and sampling techniques. Selecting …

[HTML][HTML] Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan …

S Zhang, S Tan, Y Sun, D Ding, W Yang - Land, 2024 - mdpi.com
Selecting the most effective prediction model and correctly identifying the main disaster-
driving factors in a specific region are the keys to addressing the challenges of geological …

Automatic identification of streamlined subglacial bedforms using machine learning: An open‐source Python approach

E Abrahams, M McKenzie, F Pérez, R Venturelli - Boreas, 2024 - Wiley Online Library
Subglacial processes exert a major control on ice streaming. Constraining subglacial
conditions thus allows for more accurate predictions of ice mass loss. Due to the difficulty in …

[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …

HT Hang, J Mallick, S Alqadhi, AA Bindajam… - … Technology & Innovation, 2024 - Elsevier
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …

InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California.

DS Vaka, VR Yaragunda, S Perdikou… - Remote …, 2024 - search.ebscohost.com
Landslides pose significant threats to life and property, particularly in mountainous regions.
To address this, this study develops a landslide susceptibility model integrating Earth …

Enhanced Landslide Susceptibility Mapping Using Machine Learning and InSAR Integration: A Case Study in Wushan County, Three Gorges Reservoir Area, China

J Cui, P Kou, Y Tao, Z Jin, Y Huang, J Zhang - 2024 - researchsquare.com
Landslides pose a severe threat to the safety of mountainous regions, and existing landslide
susceptibility assessment methods often suffer from limitations in data quality and …

Maritime Anomaly Detection: The Use of AIS Data to Identify Dark Activity

LFF Fernandes - 2024 - search.proquest.com
Maritime security is critical to global trade, transportation, and defence. It necessitates
advanced methods for monitoring and detecting abnormal behaviours, especially" dark …