An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India

SA Ali, F Parvin, QB Pham, KM Khedher, M Dehbozorgi… - Natural Hazards, 2022 - Springer
This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …

Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region

S Saha, A Saha, TK Hembram, K Mandal… - … Research and Risk …, 2022 - Springer
This research aims to generate a landslide susceptibility map (LSM) for the Bhagirathi river
basin located in the Tehri Garhwal district of Uttarakhand state in India. For this study, we …

Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India

S Saha, J Roy, B Pradhan, TK Hembram - Advances in Space Research, 2021 - Elsevier
Landslide is a big problem in the mountainous region all over the world. Sikkim Himalayan
region is also suffering from landslide problem. This study's main objective was to generate …

New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed

D Tien Bui, A Shirzadi, H Shahabi, M Geertsema… - Forests, 2019 - mdpi.com
We prepared a landslide susceptibility map for the Sarkhoon watershed, Chaharmahal-w-
bakhtiari, Iran, using novel ensemble artificial intelligence approaches. A classifier of …

Evaluating the performance of individual and novel ensemble of machine learning and statistical models for landslide susceptibility assessment at Rudraprayag …

S Saha, A Saha, TK Hembram, B Pradhan, AM Alamri - Applied Sciences, 2020 - mdpi.com
Landslides are known as the world's most dangerous threat in mountainous regions and
pose a critical obstacle for both economic and infrastructural progress. It is, therefore, quite …

Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

I Chowdhuri, SC Pal, A Arabameri, PTT Ngo… - Environmental earth …, 2020 - Springer
The landslide is a downward movement of soil and rock, and one of the most destructive geo-
hazards that causes losses in lives, environment, and economy all over the world. Landslide …

Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India

P Kainthura, N Sharma - … : Assessment and Management of Risk for …, 2022 - Taylor & Francis
ABSTRACT A landslip is derived from nature and sometimes caused by human activities
that endanger humanity and habitation. This work focuses on landslide behaviour for …

Comparison between deep learning and tree-based machine learning approaches for landslide susceptibility mapping

S Saha, J Roy, TK Hembram, B Pradhan, A Dikshit… - Water, 2021 - mdpi.com
The efficiency of deep learning and tree-based machine learning approaches has gained
immense popularity in various fields. One deep learning model viz. convolution neural …

Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation …

S Saha, A Arabameri, A Saha, T Blaschke… - Science of the total …, 2021 - Elsevier
The present research examines the landslide susceptibility in Rudraprayag district of
Uttarakhand, India using the conditional probability (CP) statistical technique, the boost …

Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping 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 mapping that evaluates zones prone to …