Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …

YA Nanehkaran, B Chen, A Cemiloglu, J Chen… - Water, 2023 - mdpi.com
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …

Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination

HR Pourghasemi, S Pouyan, M Bordbar, F Golkar… - Natural Hazards, 2023 - Springer
Protection against natural hazards (ie, floods, landslides, forest fires, and earthquakes) is
vital in land-use planning, especially in high-risk areas. Multi-hazard susceptibility maps can …

GIS based landslide susceptibility zonation map** using frequency ratio, information value and weight of evidence: a case study in Kinnaur District HP India

A Qazi, K Singh, DK Vishwakarma, HG Abdo - Bulletin of Engineering …, 2023 - Springer
Landslides are the most catastrophic natural disasters that constitute geological,
geomorphological slope instability risks and affects the economy worldwide. The causes of …

Deep learning based landslide detection using open-source resources: Opportunities and challenges

S Das, P Sharma, A Pain, DP Kanungo… - Earth Science …, 2023 - Springer
Landslide inventories are important for hazard and risk analysis, as well as in facilitating
post-event recovery efforts. However, preparing these inventories is a time-consuming and …

Evaluating causative factors for landslide susceptibility along the Imphal-Jiribam railway corridor in the North-Eastern part of India using a GIS-based statistical …

A Singh, A Ashuli, N Dhiman, CS Dubey… - … Science and Pollution …, 2024 - Springer
Abstract The Northeast part of India is experiencing an increase in infrastructure projects as
well as landslides. This study aims to prepare the landslide susceptibility map of …

A multi-criteria decision analysis (MCDA) approach for landslide susceptibility map** of a part of Darjeeling District in North-East Himalaya, India

A Saha, VGK Villuri, A Bhardwaj, S Kumar - Applied Sciences, 2023 - mdpi.com
Landslides are the nation's hidden disaster, significantly increasing economic loss and
social disruption. Unfortunately, limited information is available about the depth and extent of …

Landslide susceptibility map** at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm

TX Bien, PT Truyen, TV Phong, DD Nguyen… - Geocarto …, 2022 - Taylor & Francis
Landslide susceptibility map is considered as one of the important steps in assessing
vulnerability of an area to landslide hazard. In this study, the main objective is to propose …

Comparison of natural breaks method and frequency ratio dividing attribute intervals for landslide susceptibility map**

C Ke, S He, Y Qin - Bulletin of Engineering Geology and the Environment, 2023 - Springer
Producing reliable landslide susceptibility maps is crucial for effective landslide prevention.
However, previous studies have placed less emphasis on the technique for dividing attribute …

Event‐based extreme precipitation variability analysis over a part of the Hindu Kush Himalayan region

MK Malla, DS Arya - International Journal of Climatology, 2023 - Wiley Online Library
Extreme precipitation is a primary driver of flood hazards causing damage to humans and
infrastructure. Analysis of extreme precipitation without considering temporally compounding …

Development and assessment of a novel hybrid machine learning-based landslide susceptibility map** model in the Darjeeling Himalayas

A Saha, VGK Villuri, A Bhardwaj - Stochastic Environmental Research and …, 2023 - Springer
Natural disasters like landslides risk people's lives and the environment. To mitigate these
hazards, scientists employ landslide susceptibility map** that evaluates zones prone to …