| 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 | 785 | 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 | 171 | 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 | 132 | 2023 |
| 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 | 128 | 2022 |
| 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 | 116 | 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 | 110 | 2020 |
| 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 | 99 | 2019 |
| 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 | 79 | 2021 |
| 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 | 78 | 2020 |
| 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 | 75 | 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 | 74 | 2023 |
| 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 | 73 | 2023 |
| 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 | 66 | 2022 |
| 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 | 65 | 2023 |
| 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 | 59 | 2020 |
| 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 | 56 | 2019 |
| Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy) SR Meena, S Puliero, K Bhuyan, M Floris, F Catani Natural Hazards and Earth System Sciences 22 (4), 1395-1417, 2022 | 45 | 2022 |
| Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data K Bhuyan, H Tanyaş, L Nava, S Puliero, SR Meena, M Floris, ... Scientific Reports 13 (1), 162, 2023 | 43 | 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 | 40 | 2022 |
| HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery SR Meena, L Nava, K Bhuyan, S Puliero, LP Soares, HC Dias, M Floris, ... Earth System Science Data 15 (7), 3283-3298, 2023 | 38 | 2023 |
Filippo CataniProfessor of Engineering Geology - University of Padova, Department of Geosciences - UNESCO Chair在 unipd.it 的电子邮件经过验证
