Sansar Raj Meena
Sansar Raj Meena
Department of Geosciences, University of Padova, Italy
Verified email at - Homepage
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Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection
O Ghorbanzadeh, T Blaschke, K Gholamnia, SR Meena, D Tiede, J Aryal
Remote Sensing 11 (2), 196, 2019
Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
S Tavakkoli Piralilou, H Shahabi, B Jarihani, O Ghorbanzadeh, ...
Remote Sensing 11 (21), 2575, 2019
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
O Ghorbanzadeh, SR Meena, T Blaschke, J Aryal
Remote Sensing 11 (17), 2046, 2019
Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
Z Chang, F Catani, F Huang, G Liu, SR Meena, J Huang, C Zhou
Journal of Rock Mechanics and Geotechnical Engineering 15 (5), 1127-1143, 2023
A comparative study of statistics-based landslide susceptibility models: A case study of the region affected by the Gorkha Earthquake in Nepal
SR Meena, O Ghorbanzadeh, T Blaschke
ISPRS International Journal of Geo-Information 8 (2), 94, 2019
Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India
SA Ali, F Parvin, N Al-Ansari, QB Pham, A Ahmad, MS Raj, DT Anh
Environmental Science and Pollution Research, 1-23, 2020
Landslide detection in the Himalayas using machine learning algorithms and U-Net
SR Meena, LP Soares, CH Grohmann, C van Westen, K Bhuyan, ...
Landslides 19 (5), 1209-1229, 2022
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, 1-14, 2021
Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping
T Gudiyangada Nachappa, S Kienberger, SR Meena, D Hölbling, ...
Geomatics, Natural Hazards and Risk 11 (1), 572-600, 2020
Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data
U Sur, P Singh, SR Meena
Geomatics, Natural Hazards and Risk 11 (1), 2176-2209, 2020
Rapid Mapping of Landslides on SAR Data by Attention U-Net
L Nava, K Bhuyan, SR Meena, O Monserrat, F Catani
Remote Sensing 14 (6), 1449, 2022
A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas
SR Meena, BK Mishra, S Tavakkoli Piralilou
Geosciences 9 (4), 156, 2019
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model
O Ghorbanzadeh, SR Meena, HSS Abadi, ST Piralilou, L Zhiyong, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
Z Chang, J Huang, F Huang, K Bhuyan, SR Meena, F Catani
Gondwana Research 117, 307-320, 2023
Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal
SR Meena, S Tavakkoli Piralilou
Geosciences 9 (10), 437, 2019
Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A Case Study in Kullu Valley, Himalayas
SR Meena, T Gudiyangada Nachappa
Geosciences 9 (8), 360, 2019
An updating of landslide susceptibility prediction from the perspective of space and time
Z Chang, F Huang, J Huang, SH Jiang, Y Liu, SR Meena, F Catani
Geoscience Frontiers 14 (5), 101619, 2023
Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India
P Singh, A Sarkar Chaudhuri, P Verma, VK Singh, SR Meena
Geomatics, Natural Hazards and Risk 13 (1), 1762-1779, 2022
Snow covered with dust after Chamoli rockslide: inference based on high-resolution satellite data
SR Meena, K Bhuyan, A Chauhan, RP Singh
Remote Sensing Letters 12 (7), 704-714, 2021
Landslide displacement forecasting using deep learning and monitoring data across selected sites
L Nava, E Carraro, C Reyes-Carmona, S Puliero, K Bhuyan, A Rosi, ...
Landslides 20 (10), 2111-2129, 2023
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