Explanipedia

Characterization of the Australia’s 2019 megafires: a remote-sensing perspective Open

Abhirup Dikshit, Jason P. Evans · 2025

Flash drought prediction using deep learning Open

Preminda Jacob, Nurendra Choudhary, Abhirup Dikshit, Jason P. Evans, Biswajeet Pradhan , et al. · 2025

Flash droughts are rapid, short-term drought events that develop within weeks, driven by factors such as low rainfall, high temperatures, and strong winds, which deplete soil moisture and stress vegetation. These events have profound agric…

Quantifying vegetation recovery after fire considering post-fire rainfall Open

Abhirup Dikshit, Jason P. Evans · 2024

Bushfires alter ecosystems, necessitating the study of post-fire vegetation recovery to better understand vegetation health and vegetation activity. This study uses a data-driven statistical method, Time Series Segmentation on Residual Tre…

Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment Open

Abhirup Dikshit, Biswajeet Pradhan, S.S. Matin, Ghassan Beydoun, M. Santosh , et al. · 2024

The application of Artificial Intelligence in various fields has witnessed tremendous progress in the recent years. The field of geosciences and natural hazard modelling has also benefitted immensely from the introduction of novel algorith…

Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model Open

Biswajeet Pradhan, Saro Lee, Abhirup Dikshit, Hyesu Kim · 2023

Floods are natural hazards that lead to devastating financial losses and large displacements of people. Flood susceptibility maps can improve mitigation measures according to the specific conditions of a study area. The design of flood sus…

An explainable AI (XAI) model for landslide susceptibility modeling Open

Biswajeet Pradhan, Abhirup Dikshit, Saro Lee, Hyesu Kim · 2023

Landslides are among the most devastating natural hazards, severely impacting human lives and damaging property and infrastructure. Landslide susceptibility maps, which help to identify which regions in a given area are at greater risk of …

Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine Learning Multi-Classifiers Open

Imane Serbouti, Mohammed Raji, Mustapha Hakdaoui, Fouad El Kamel, Biswajeet Pradhan , et al. · 2022

In this era of free and open-access satellite and spatial data, modern innovations in cloud computing and machine-learning algorithms (MLAs) are transforming how Earth-observation (EO) datasets are utilized for geological mapping. This stu…

Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture Open

Abolfazl Abdollahi, Yuxia Liu, Biswajeet Pradhan, Alfredo Huete, Abhirup Dikshit , et al. · 2022

Explainable AI in drought forecasting Open

Abhirup Dikshit, Biswajeet Pradhan · 2021

Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping Open

Sunil Saha, Jagabandhu Roy, Tusar Kanti Hembram, Biswajeet Pradhan, Abhirup Dikshit , et al. · 2021

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 network (CNN), artificial neural network (ANN) and four tree-based …

Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha Open

Sunil Saha, Barnali Kundu, Gopal Chandra Paul, Kaustuv Mukherjee, Biswajeet Pradhan , et al. · 2021

Droughts can be regarded as one of the most spatially complex geohazards, causing a severe impact on socio-economic aspects. Preparing a comprehensive drought management plan is necessary to mitigate drought risks, and the first step towar…

Parametric Study of Local Site Response for Bedrock Ground Motion to Earthquake in Phuentsholing, Bhutan Open

Karma Tempa, Raju Sarkar, Abhirup Dikshit, Biswajeet Pradhan, Armando Lucio Simonelli , et al. · 2020

Earthquakes, when it comes to natural calamities, are characteristically devastating and pose serious threats to buildings in urban areas. Out of multiple seismic regions in the Himalayas, Bhutan Himalaya is one that reigns prominent. Bhut…

Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia Open

Abhirup Dikshit, Biswajeet Pradhan, Abdullah Alamri · 2020

Droughts can cause significant damage to agriculture and water resources, leading to severe economic losses and loss of life. One of the most important aspect is to develop effective tools to forecast drought events that could be helpful i…

A Review of Models Used for Investigating Barriers to Healthcare Access in Australia Open

Nagesh Shukla, Biswajeet Pradhan, Abhirup Dikshit, Subrata Chakraborty, Abdullah Alamri · 2020

Understanding barriers to healthcare access is a multifaceted challenge, which is often highly diverse depending on location and the prevalent surroundings. The barriers can range from transport accessibility to socio-economic conditions, …

Temporal Hydrological Drought Index Forecasting for New South Wales, Australia Using Machine Learning Approaches Open

Abhirup Dikshit, Biswajeet Pradhan, Abdullah Alamri · 2020

Droughts can cause significant damage to agriculture and water resources leading to severe economic losses. One of the most important aspects of drought management is to develop useful tools to forecast drought events, which could be helpf…

Spatial Landslide Risk Assessment at Phuentsholing, Bhutan Open

Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, Saroj Acharya, Abdullah Alamri · 2020

Landslides are one of the most destructive and most recurring natural calamities in the Himalayan region. Their occurrence leads to immense damage to infrastructure and loss of land, human lives, and livestock. One of the most affected reg…

Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review Open

Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, Samuele Segoni, Abdullah Alamri · 2020

Landslides are one of the most devastating and recurring natural disasters and have affected several mountainous regions across the globe. The Indian Himalayan region is no exception to landslide incidences affecting key economic sectors s…

Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan Open

Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, Ratiranjan Jena, Dowchu Drukpa , et al. · 2020

Landslides are one of the major natural disasters that Bhutan faces every year. The monsoon season in Bhutan is usually marked by heavy rainfall, which leads to multiple landslides, especially across the highways, and affects the entire tr…

Probabilistic Rainfall Thresholds for Landslide Occurrences in Bhutan Open

Raju Sarkar, Abhirup Dikshit, Krishna Subba, Hemanta Hazarika, Kôji Yamada · 2019

Several works have been conducted all across the globe determining rainfall thresholds in context of intensity-duration thresholds. Such results provide results in terms of occurrence or non-occurrence of landslides. This paper determines …

Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas Open

Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, Saroj Acharya, Kelzang Dorji · 2019

Consistently over the years, particularly during monsoon seasons, landslides and related geohazards in Bhutan are causing enormous damage to human lives, property, and road networks. The determination of thresholds for rainfall triggered l…

Comparative Study on Traditional Timber Bridges of Bhutan with Timber Bridges of Other Nations Open

Raju Sarkar, T. Vijaya Kumar, Kiran Gurung, Dipti Misra Sharma, Tashi Choki , et al. · 2019

This paper has assorted multifarious studies depicting the behaviour of timber bridges to administer a literature review. It focuses on weaknesses of the timber bridges under seismic loading as well as methodologies adopted to overcome the…

Determination of Rainfall Thresholds for Landslide Prediction Using an Algorithm-Based Approach: Case Study in the Darjeeling Himalayas, India Open

Togaru Surya Teja, Abhirup Dikshit, Neelima Satyam · 2019

Landslides are one of the most devastating and commonly recurring natural hazards in the Indian Himalayas. They contribute to infrastructure damage, land loss and human casualties. Most of the landslides are primarily rainfall-induced and …

Probabilistic approach toward Darjeeling Himalayas landslides-A case study Open

Abhirup Dikshit, Raju Sarkar, Neelima Satyam · 2018

The Himalayan region with its complex geological features, steep slopes, rugged topography, and intense monsoonal rainfall create ideal conditions for landslides. The damage caused due to landslides is immense causing significant loss of l…

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Abhirup Dikshit · 2017

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Abhirup Dikshit · 2017

Interactive comment on " Application of FLaIR model for early warning system in Chibo Pashyor, Kalimpong, India for rainfall-induced landslides" by Abhirup Dikshit and Neelima Satyam Open

Abhirup Dikshit · 2017

Application of FLaIR model for early warning system in Chibo Pashyor, Kalimpong, India for rainfall-induced landslides Open

Abhirup Dikshit, Neelima Satyam · 2017

The development of an early warning system for landslides due to rainfall has become an indispensable part for landslide risk mitigation. This paper explains the application of the hydrological FLaIR (Forecasting of Landslides Induced by R…

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