| 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 | 43 | 2022 |
| Improving landslide detection on SAR data through deep learning L Nava, O Monserrat, F Catani IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 42 | 2021 |
| Multi-temporal satellite image composites in google earth engine for improved landslide visibility: A case study of a glacial landscape E Lindsay, R Frauenfelder, D Rüther, L Nava, L Rubensdotter, J Strout, ... Remote Sensing 14 (10), 2301, 2022 | 29 | 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 | 22 | 2023 |
| HR-GLDD: A globally distributed dataset using generalized DL for rapid landslide mapping on HR satellite imagery SR Meena, L Nava, K Bhuyan, S Puliero, LP Soares, HC Dias, M Floris, ... Earth System Science Data Discussions 2022, 1-21, 2022 | 21* | 2022 |
| 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 | 18 | 2023 |
| Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S Sharma, K Dahal, L Nava, MR Gouli, R Talchabhadel, J Panthi, T Roy, ... Earth and Space Science 9 (1), e2021EA002114, 2022 | 13* | 2022 |
| Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model K Bhuyan, SR Meena, L Nava, C van Westen, M Floris, F Catani GIScience & Remote Sensing 60 (1), 2182057, 2023 | 11 | 2023 |
| Artisanal and small-scale mine detection in semi-desertic areas by improved U-Net L Nava, M Cuevas, SR Meena, F Catani, O Monserrat IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 3 | 2022 |
| Classification of rock slope cavernous weathering on UAV photogrammetric point clouds: The example of Hegra (UNESCO World Heritage Site, Kingdom of Saudi Arabia) T Beni, L Nava, G Gigli, W Frodella, F Catani, N Casagli, JI Gallego, ... Engineering Geology 325, 107286, 2023 | 1 | 2023 |
| InSAR time series and LSTM model to support early warning detection tools of ground instabilities: mining site case studies SM Mirmazloumi, Y Wassie, L Nava, M Cuevas-González, M Crosetto, ... Bulletin of Engineering Geology and the Environment 82 (10), 374, 2023 | 1 | 2023 |
| Deformation evaluation and displacement forecasting of baishuihe landslide after stabilization based on continuous wavelet transform and deep learning Y Liu, G Teza, L Nava, Z Chang, M Shang, D Xiong, S Cola Natural Hazards, 1-25, 2024 | | 2024 |
| Sentinel-1 SAR-based Globally Distributed Landslide Detection by Deep Neural Networks L Nava, AC Mondini, K Bhuyan, C Fang, O Monserrat, A Novellino, ... EarthArXiv, 2024 | | 2024 |
| Landslide Regime Shift Detector (LRSD) for Landslide Early Warning Systems L Nava, A Tordesillas, G Qian, F Catani EarthArXiv, 2024 | | 2024 |
Filippo CataniProfessor of Engineering Geology - University of Padova, Department of Geosciences - UNESCO ChairBestätigte E-Mail-Adresse bei unipd.it
