A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset

HAH Al-Najjar, B Pradhan, G Beydoun, R Sarkar… - Gondwana …, 2023 - Elsevier
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 …

Assessing soil erosion hazards using land-use change and landslide frequency ratio method: A case study of Sabaragamuwa province, Sri Lanka

S Senanayake, B Pradhan, A Huete, J Brennan - Remote Sensing, 2020 - mdpi.com
This study aims to identify the vulnerable landscape areas using landslide frequency ratio
and land-use change associated soil erosion hazard by employing geo-informatics …

Spatial understanding of historical and future landslide variation in Africa

L Nahayo, C Peng, Y Lei, R Tan - Natural Hazards, 2023 - Springer
The African natural landscape reshaping in search for housing, food and infrastructure
development exposes the slope to failure. However, the entire African landslide …

Characterising landslide susceptibility of an environmentally fragile region of the Western Ghats in Idukki district, Kerala, India, through statistical modelling and …

GS Pradeep, MV Ninu Krishnan, H Vijith - Natural Hazards, 2023 - Springer
Landslide susceptibility of mountainous villages (locally known as Panchayats) in the
Western Ghats of Kerala was critically analysed in the present research by considering …

Integrating Physical and Machine Learning Models for Enhanced Landslide Prediction in Data-Scarce Environments

HAH Al-Najjar, B Pradhan, X He, D Sheng… - Earth Systems and …, 2024 - Springer
This study addresses the challenges associated with landslide prediction due to limited
geotechnical data and high costs. A comprehensive approach is proposed to address these …

Understanding Spatial Historical and Future Landslide Variation in Africa

L Nahayo, P Cui, L Yu, R Tan - 2023 - researchsquare.com
The African natural landscape reshaping in search for housing, food and infrastructure
development exposes the slope to failure. However, the entire African landslide …

[图书][B] A novel approach by integrating physically and Machine leaning-based models for landslide susceptibility assessment

HAH Al-Najjar - 2023 - search.proquest.com
One of the most destructive natural hazards is landslide, and Landslide Susceptibility
Mapping (LSM) estimates the probability of the hazard in a region. Physical and Machine …