Flash flood susceptibility modeling using new approaches of hybrid and ensemble tree-based machine learning algorithms

SS Band, S Janizadeh, S Chandra Pal, A Saha… - Remote Sensing, 2020 - mdpi.com
Flash flooding is considered one of the most dynamic natural disasters for which measures
need to be taken to minimize economic damages, adverse effects, and consequences by …

Novel ensemble approach of deep learning neural network (DLNN) model and particle swarm optimization (PSO) algorithm for prediction of gully erosion susceptibility

SS Band, S Janizadeh, S Chandra Pal, A Saha… - Sensors, 2020 - mdpi.com
This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES)
based on a deep learning neural network (DLNN) model and an ensemble particle swarm …

Decision tree based ensemble machine learning approaches for landslide susceptibility mapping

A Arabameri, S Chandra Pal, F Rezaie… - Geocarto …, 2022 - Taylor & Francis
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …

Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility

W Chen, X Lei, R Chakrabortty, SC Pal… - Journal of …, 2021 - Elsevier
The objective of this study is to assess the gully head-cut erosion susceptibility and identify
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …

Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …

D Ruidas, A Saha, ARMT Islam, R Costache… - … Science and Pollution …, 2023 - Springer
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …

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 …

Optimization modelling to establish false measures implemented with ex-situ plant species to control gully erosion in a monsoon-dominated region with novel in-situ …

A Saha, SC Pal, A Arabameri, I Chowdhuri… - Journal of …, 2021 - Elsevier
Water dominated gullies formation and associated land degradation are the foremost
challenges among the planners for sustainability and optimization of land resources. This …

Implementation of artificial intelligence based ensemble models for gully erosion susceptibility assessment

I Chowdhuri, SC Pal, A Arabameri, A Saha… - Remote Sensing, 2020 - mdpi.com
The Rarh Bengal region in West Bengal, particularly the eastern fringe area of the
Chotanagpur plateau, is highly prone to water-induced gully erosion. In this study, we …

A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

S Pouyan, HR Pourghasemi, M Bordbar… - Scientific Reports, 2021 - nature.com
We used three state-of-the-art machine learning techniques (boosted regression tree,
random forest, and support vector machine) to produce a multi-hazard (MHR) map …

Novel machine learning approaches for modelling the gully erosion susceptibility

A Arabameri, O Asadi Nalivan, S Chandra Pal… - Remote Sensing, 2020 - mdpi.com
The extreme form of land degradation caused by the formation of gullies is a major
challenge for the sustainability of land resources. This problem is more vulnerable in the arid …