| Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory TG Nachappa, ST Piralilou, K Gholamnia, O Ghorbanzadeh, O Rahmati, ... Journal of hydrology 590, 125275, 2020 | 240 | 2020 |
| 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 | 141 | 2019 |
| A semi-automated object-based gully networks detection using different machine learning models: a case study of Bowen catchment, Queensland, Australia H Shahabi, B Jarihani, S Tavakkoli Piralilou, D Chittleborough, M Avand, ... Sensors 19 (22), 4893, 2019 | 70 | 2019 |
| A Google Earth Engine approach for wildfire susceptibility prediction fusion with remote sensing data of different spatial resolutions S Tavakkoli Piralilou, G Einali, O Ghorbanzadeh, TG Nachappa, ... Remote sensing 14 (3), 672, 2022 | 63 | 2022 |
| Landslide susceptibility mapping for Austria using geons and optimization with the Dempster-Shafer theory T Gudiyangada Nachappa, S Tavakkoli Piralilou, O Ghorbanzadeh, ... Applied Sciences 9 (24), 5393, 2019 | 47 | 2019 |
| 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 | 47 | 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 | 43 | 2020 |
| Unsupervised deep learning for landslide detection from multispectral sentinel-2 imagery H Shahabi, M Rahimzad, S Tavakkoli Piralilou, O Ghorbanzadeh, ... Remote Sensing 13 (22), 4698, 2021 | 32 | 2021 |
| 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 | 27 | 2019 |
| The near-decomposability paradigm re-interpreted for place-based GIS T Blaschke, ST Piralilou Proceedings of the 1st Workshop on Platial Analysis (PLATIAL’18), Heidelberg …, 2018 | 11 | 2018 |
| Automatic landslide detection using bi-temporal sentinel 2 imagery ST Piralilou, H Shahabi, R Pazur GI_Forum 9, 39-45, 2021 | 6 | 2021 |
| Rapid mapping of landslides from sentinel-2 data using unsupervised deep learning H Shahabi, M Rahimzad, O Ghorbanzadeh, ST Piralilou, T Blaschke, ... 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing …, 2022 | 4 | 2022 |
| Gully Networks Detection by Integration of Machine Learning and Geographic Object-Based Image Analysis H Shahabi, B Jarihani, D Chittleborough, ST Piralilo 8th International Symposium on Gully Erosion, 2019 | 2 | 2019 |
| Evaluation of Minimum Noise Fraction Transformation and Independent Component Analysis for Dwelling Annotation in Refugee Camps Using Convolutional Neural Network O Ghorbanzadeh, Z Dabiri, D Tiede, ST Piralilo, T Blaschke, S Lang 39th Annual EARSeL Symposium, 2019 | 2 | 2019 |
| Qualitative and quantitative evaluation of earthquake-triggered landslide inventories in Nepal. SR Meena, ST Piralilou, D Hölbling, T Blaschke Geophysical Research Abstracts 21, 2019 | 2 | 2019 |
| An integrated approach of machine-learning models and Dempster-Shafer theory for landslide detection ST Piralilou, T Blaschke, O Ghorbanzadeh ESA Living Planet Symp 15 (2010), 2018, 2018 | 2 | 2018 |
| Assessing the importance of variable selection in land subsidence susceptibility mapping ST Piralilou, G Einali, S Kiani, K Gholamnia Intercontinental Geoinformation Days 4, 188-191, 2022 | | 2022 |
| Data fusion scenarios to trustworthy spatial modelling of natural hazards ST Piralilou Paris-Lodron Universität Salzburg, 2022 | | 2022 |
| Digital Elevation Model Resolution: Effects on GIS-based Landslide Susceptibility Modeling SR Meena, ST Piralilo, T Blaschke, BK Mishra GI_Forum 2019: Symposium and Exhibit Geographic Information Science, 2019 | | 2019 |
| 4th Intercontinental Geoinformation Days ST Piralilou, G Einali, S Kiani, K Gholamnia | | |
