By Dr Abhirup Dikshit

Journal articles

Dikshit A; Pradhan B; Matin SS; Beydoun G; Santosh M; Park HJ; Maulud KNA, 2024, 'Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment', Geoscience Frontiers, 15, http://dx.doi.org/10.1016/j.gsf.2024.101815

Pradhan B; Lee S; Dikshit A; Kim H, 2023, 'Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model', Geoscience Frontiers, 14, http://dx.doi.org/10.1016/j.gsf.2023.101625

Pradhan B; Dikshit A; Lee S; Kim H, 2023, 'An explainable AI (XAI) model for landslide susceptibility modeling', Applied Soft Computing, 142, http://dx.doi.org/10.1016/j.asoc.2023.110324

Abdollahi A; Liu Y; Pradhan B; Huete A; Dikshit A; Nguyen Tran N, 2022, 'Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture', Egyptian Journal of Remote Sensing and Space Science, 25, pp. 673 - 685, http://dx.doi.org/10.1016/j.ejrs.2022.06.002

Serbouti I; Raji M; Hakdaoui M; El Kamel F; Pradhan B; Gite S; Alamri A; Maulud KNA; Dikshit A, 2022, 'Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused Machine Learning Multi-Classifiers', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14215498

Dikshit A; Pradhan B; Huete A; Park HJ, 2022, 'Spatial based drought assessment: Where are we heading? A review on the current status and future', Science of the Total Environment, 844, http://dx.doi.org/10.1016/j.scitotenv.2022.157239

Dikshit A; Pradhan B; Assiri ME; Almazroui M; Park HJ, 2022, 'Solving transparency in drought forecasting using attention models', Science of the Total Environment, 837, http://dx.doi.org/10.1016/j.scitotenv.2022.155856

Youssef AM; Pradhan B; Dikshit A; Al-Katheri MM; Matar SS; Mahdi AM, 2022, 'Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA', Bulletin of Engineering Geology and the Environment, 81, http://dx.doi.org/10.1007/s10064-022-02657-4

Dikshit A; Pradhan B; Santosh M, 2022, 'Artificial neural networks in drought prediction in the 21st century–A scientometric analysis', Applied Soft Computing, 114, http://dx.doi.org/10.1016/j.asoc.2021.108080

Youssef AM; Pradhan B; Dikshit A; Mahdi AM, 2022, 'Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt', Geocarto International, 37, pp. 11088 - 11115, http://dx.doi.org/10.1080/10106049.2022.2046866

Dikshit A; Pradhan B, 2021, 'Interpretable and explainable AI (XAI) model for spatial drought prediction', Science of the Total Environment, 801, http://dx.doi.org/10.1016/j.scitotenv.2021.149797

Dikshit A; Pradhan B; Alamri AM, 2021, 'Pathways and challenges of the application of artificial intelligence to geohazards modelling', Gondwana Research, 100, pp. 290 - 301, http://dx.doi.org/10.1016/j.gr.2020.08.007

Saha S; Roy J; Hembram TK; Pradhan B; Dikshit A; Abdul Maulud KN; Alamri AM, 2021, 'Comparison between deep learning and tree‐based machine learning approaches for landslide susceptibility mapping', Water (Switzerland), 13, http://dx.doi.org/10.3390/w13192664

Dikshit A; Pradhan B; Huete A, 2021, 'An improved SPEI drought forecasting approach using the long short-term memory neural network', Journal of Environmental Management, 283, http://dx.doi.org/10.1016/j.jenvman.2021.111979

Dikshit A; Pradhan B; Alamri AM, 2021, 'Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model', Science of the Total Environment, 755, http://dx.doi.org/10.1016/j.scitotenv.2020.142638

Saha S; Kundu B; Paul GC; Mukherjee K; Pradhan B; Dikshit A; Abdul Maulud KN; Alamri AM, 2021, 'Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha', Geomatics, Natural Hazards and Risk, 12, pp. 123 - 153, http://dx.doi.org/10.1080/19475705.2020.1861114

Dikshit A; Pradhan B, 2021, 'Explainable AI in drought forecasting', Machine Learning with Applications, 6, pp. 100192 - 100192, http://dx.doi.org/10.1016/j.mlwa.2021.100192

Tempa K; Sarkar R; Dikshit A; Pradhan B; Simonelli AL; Acharya S; Alamri AM, 2020, 'Parametric study of local site response for bedrock ground motion to earthquake in Phuentsholing, Bhutan', Sustainability (Switzerland), 12, http://dx.doi.org/10.3390/su12135273

Shukla N; Pradhan B; Dikshit A; Chakraborty S; Alamri AM, 2020, 'A review of models used for investigating barriers to healthcare access in Australia', International Journal of Environmental Research and Public Health, 17, pp. 1 - 19, http://dx.doi.org/10.3390/ijerph17114087

Dikshit A; Pradhan B; Alamri AM, 2020, 'Short-term spatio-temporal drought forecasting using random forests model at New South Wales, Australia', Applied Sciences (Switzerland), 10, http://dx.doi.org/10.3390/app10124254

Dikshit A; Pradhan B; Alamri AM, 2020, 'Temporal hydrological drought index forecasting for New South Wales, Australia using machine learning approaches', Atmosphere, 11, http://dx.doi.org/10.3390/atmos11060585

Dikshit A; Satyam N; Pradhan B; Kushal S, 2020, 'Estimating rainfall threshold and temporal probability for landslide occurrences in Darjeeling Himalayas', Geosciences Journal, 24, pp. 225 - 233, http://dx.doi.org/10.1007/s12303-020-0001-3

Dikshit A; Sarkar R; Pradhan B; Segoni S; Alamri AM, 2020, 'Rainfall induced landslide studies in indian himalayan region: A critical review', Applied Sciences (Switzerland), 10, http://dx.doi.org/10.3390/app10072466

Dikshit A; Sarkar R; Pradhan B; Acharya S; Alamri AM, 2020, 'Spatial landslide risk assessment at Phuentsholing, Bhutan', Geosciences (Switzerland), 10, http://dx.doi.org/10.3390/geosciences10040131

Dikshit A; Sarkar R; Pradhan B; Jena R; Drukpa D; Alamri AM, 2020, 'Temporal probability assessment and its use in landslide susceptibility mapping for Eastern Bhutan', Water (Switzerland), 12, http://dx.doi.org/10.3390/w12010267

Dikshit A; Satyam N; Pradhan B, 2019, 'Estimation of Rainfall-Induced Landslides Using the TRIGRS Model', Earth Systems and Environment, 3, pp. 575 - 584, http://dx.doi.org/10.1007/s41748-019-00125-w

Gariano SL; Sarkar R; Dikshit A; Dorji K; Brunetti MT; Peruccacci S; Melillo M, 2019, 'Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan', Bulletin of Engineering Geology and the Environment, 78, pp. 4325 - 4332, http://dx.doi.org/10.1007/s10064-018-1415-2

Sarkar R; Dikshit A; Hazarika H; Yamada K; Subba K, 2019, 'Probabilistic rainfall thresholds for landslide occurrences in Bhutan', International Journal of Recent Technology and Engineering, 8, pp. 737 - 742, http://dx.doi.org/10.35940/ijrte.B1132.0982S1019

Dikshit A; Satyam N, 2019, 'Probabilistic rainfall thresholds in Chibo, India: estimation and validation using monitoring system', Journal of Mountain Science, 16, pp. 870 - 883, http://dx.doi.org/10.1007/s11629-018-5189-6

Teja TS; Dikshit A; Satyam N, 2019, 'Determination of rainfall thresholds for landslide prediction using an algorithm-based approach: Case study in the Darjeeling Himalayas, India', Geosciences (Switzerland), 9, http://dx.doi.org/10.3390/geosciences9070302

Dikshit A; Sarkar R; Pradhan B; Acharya S; Dorji K, 2019, 'Estimating rainfall thresholds for landslide occurrence in the Bhutan Himalayas', Water (Switzerland), 11, http://dx.doi.org/10.3390/w11081616

Dikshit A; Satyam DN, 2018, 'Estimation of rainfall thresholds for landslide occurrences in Kalimpong, India', Innovative Infrastructure Solutions, 3, http://dx.doi.org/10.1007/s41062-018-0132-9

Dikshit A; Satyam DN; Towhata I, 2018, 'Early warning system using tilt sensors in Chibo, Kalimpong, Darjeeling Himalayas, India', Natural Hazards, 94, pp. 727 - 741, http://dx.doi.org/10.1007/s11069-018-3417-6

Dikshit A; Sarkar R; Satyam N, 2018, 'Probabilistic approach toward Darjeeling Himalayas landslides-A case study', Cogent Engineering, 5, pp. 1 - 11, http://dx.doi.org/10.1080/23311916.2018.1537539

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