[HTML][HTML] State-of-The-Art application and challenges of optical fibre distributed acoustic sensing in civil engineering

MF Ghazali, H Mohamad, MYM Nasir, A Hamzh… - Optical Fiber …, 2024 - Elsevier
Abstract Distributed Acoustic Sensing (DAS) technology has rapidly gained prominence
across various applications. Integrating DAS with fibre-optic cables can bolster critical …

GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India

J Das, P Saha, R Mitra, A Alam, M Kamruzzaman - Heliyon, 2023 - cell.com
Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …

[HTML][HTML] A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction

MSG Adnan, ZS Siam, I Kabir, Z Kabir… - Journal of …, 2023 - Elsevier
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …

[HTML][HTML] Landslide susceptibility assessment in the Himalayan range based along Kasauli–Parwanoo road corridor using weight of evidence, information value, and …

AH Alsabhan, K Singh, A Sharma, S Alam… - Journal of King Saud …, 2022 - Elsevier
The Himalayan region is prone to landslides. Rainfall-induced slope failure activities in the
Indian Himalaya cause considerable damage, posing a serious risk to life and property. This …

Dynamic association of slope movements in the Uttarakhand Himalaya: a critical review on the landslide susceptibility assessment

H Khali, KS Rawat, RS Chatterjee - Geomatics, Natural Hazards …, 2023 - Taylor & Francis
Slope movement, the surface expressions as seated scars are the variety of surface
deformation mechanisms on the earth's outer crust. These slow-deformation mechanisms …

Multitemporal analysis of land subsidence induced by open-pit mining activity using improved combined scatterer interferometry with deep learning algorithm …

MF Fadhillah, WL Hakim, S Lee, KJ Lee, SJ Lee… - Scientific reports, 2024 - nature.com
Mine operational safety is an important aspect of maintaining the operational continuity of a
mining area. In this study, we used the InSAR time series to analyze land surface changes …

[HTML][HTML] Integrating landslide typology with weighted frequency ratio model for landslide susceptibility map**: A case study from Lanzhou city of northwestern China

H Shu, Z Guo, S Qi, D Song, HR Pourghasemi, J Ma - Remote Sensing, 2021 - mdpi.com
Although numerous models have been employed to address the issue of landslide
susceptibility at regional scale, few have incorporated landslide typology into a model …

High-Resolution lidar-derived DEM for landslide susceptibility assessment using AHP and fuzzy logic in Serdang, Malaysia

J Okoli, H Nahazanan, F Nahas, B Kalantar… - Geosciences, 2023 - mdpi.com
Landslide impact is potentially hazardous to an urban environment. Landslides occur at
certain slope levels over time and require practical slope analysis to assess the nature of the …

Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility map** in complex mountainous terrain of Northwest Himalaya

A Singh, NK Chhetri, Nitesh, SK Gupta… - Bulletin of Engineering …, 2023 - Springer
In the mountainous region of the world, landslides are a major issue that significantly
impacts the socioeconomic, infrastructure, livestock, and human lives. A landslide …

Performance assessment of the landslide susceptibility modelling using the support vector machine, radial basis function network, and weight of evidence models in …

HA Naceur, HG Abdo, B Igmoullan, M Namous… - Geoscience Letters, 2022 - Springer
Landslides in mountainous areas are one of the most important natural hazards and
potentially cause severe damage and loss of human life. In order to reduce this damage, it is …