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Raju Sarkar
Raju Sarkar
Professor, Department of Civil Engineering, Delhi Technological University (formerly DCE)
Email verificata su dce.ac.in - Home page
Titolo
Citata da
Citata da
Anno
Rainfall induced landslide studies in Indian Himalayan region: a critical review
A Dikshit, R Sarkar, B Pradhan, S Segoni, AM Alamri
Applied Sciences 10 (7), 2466, 2020
2372020
A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset
HAH Al-Najjar, B Pradhan, G Beydoun, R Sarkar, HJ Park, A Alamri
Gondwana Research 123, 107-124, 2023
902023
Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach
SR Meena, O Ghorbanzadeh, CJ van Westen, TG Nachappa, T Blaschke, ...
Landslides 18, 1937-1950, 2021
732021
Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India
S Saha, A Saha, M Das, A Saha, R Sarkar, A Das
Remote Sensing Applications: Society and Environment 22, 100507, 2021
712021
Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan
SL Gariano, R Sarkar, A Dikshit, K Dorji, MT Brunetti, S Peruccacci, ...
Bulletin of Engineering Geology and the Environment 78, 4325-4332, 2019
672019
Spatial landslide risk assessment at Phuentsholing, Bhutan
A Dikshit, R Sarkar, B Pradhan, S Acharya, AM Alamri
Geosciences 10 (4), 131, 2020
622020
Estimating rainfall thresholds for landslide occurrence in the Bhutan Himalayas
A Dikshit, R Sarkar, B Pradhan, S Acharya, K Dorji
Water 11 (8), 1616, 2019
602019
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata
TK Saha, S Pal, R Sarkar
Ecological Informatics 62, 101272, 2021
572021
Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests
MI Sameen, R Sarkar, B Pradhan, D Drukpa, AM Alamri, HJ Park
Computers & Geosciences 134, 104336, 2020
552020
Effect of lime and stone dust in the geotechnical properties of black cotton soil
A Mudgal, R Sarkar, AK Sahu
Geomate Journal 7 (14), 1033-1039, 2014
482014
High seasonal variation of atmospheric C and particle concentrations in Delhi, India
P Mandal, T Saud, R Sarkar, A Mandal, SK Sharma, TK Mandal, ...
Environmental chemistry letters 12, 225-230, 2014
452014
Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms
S Saha, R Sarkar, J Roy, TK Hembram, S Acharya, G Thapa, D Drukpa
Scientific reports 11 (1), 16374, 2021
432021
Determination of the probabilities of landslide events—a case study of Bhutan
R Sarkar, K Dorji
Hydrology 6 (2), 52, 2019
422019
Temporal probability assessment and its use in landslide susceptibility mapping for eastern Bhutan
A Dikshit, R Sarkar, B Pradhan, R Jena, D Drukpa, AM Alamri
Water 12 (1), 267, 2020
412020
Habitat vulnerability in slum areas of India–What we learnt from COVID-19?
M Das, A Das, B Giri, R Sarkar, S Saha
International Journal of Disaster Risk Reduction 65, 102553, 2021
402021
Seasonal variation and sources of aerosol pollution in Delhi, India
P Mandal, R Sarkar, A Mandal, T Saud
Environmental chemistry letters 12, 529-534, 2014
402014
A new integrated approach for landslide data balancing and spatial prediction based on generative adversarial networks (GAN)
HAH Al-Najjar, B Pradhan, R Sarkar, G Beydoun, A Alamri
Remote Sensing 13 (19), 4011, 2021
372021
Use of paper mill waste for brick making
R Sarkar, R Kurar, AK Gupta, A Mudgal, V Gupta
Cogent Engineering 4 (1), 1405768, 2017
362017
Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms
S Saha, R Sarkar, G Thapa, J Roy
Environmental Earth Sciences 80 (8), 295, 2021
312021
Economic assessment of use of pond ash in pavements
R Sarkar, AR Dawson
International Journal of Pavement Engineering 18 (7), 578-594, 2017
312017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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