Sepideh Tavakkoli Piralilou
Sepideh Tavakkoli Piralilou
PhD condidate, University of Salzburg
Verified email at - Homepage
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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
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
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
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, 125275, 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
The near-decomposability paradigm re-interpreted for place-based GIS
T Blaschke, ST Piralilo
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
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
Qualitative and quantitative evaluation of earthquake-triggered landslide inventories in Nepal.
SR Meena, ST Piralilou, D Hölbling, T Blaschke
Geophysical Research Abstracts 21, 2019
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
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
An integrated approach of Machine-learning models and Dempster-Shafer Theory for Landslide Detection
ST Piralilo, T Blaschke, O Ghorbanzadeh
ESA Living Planet Symposium 2019, 2019
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