Sepideh Tavakkoli Piralilou
Sepideh Tavakkoli Piralilou
PhD condidate, University of Salzburg
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
The near-decomposability paradigm re-interpreted for place-based GIS
T Blaschke, ST Piralilo
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
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
Automatic landslide detection using bi-temporal sentinel 2 imagery
ST Piralilou, H Shahabi, R Pazur
GI_Forum 9, 39-45, 2021
Qualitative and quantitative evaluation of earthquake-triggered landslide inventories in Nepal.
SR Meena, ST Piralilou, D Hölbling, T Blaschke
Geophysical Research Abstracts 21, 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
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 Piralilou, T Blaschke, O Ghorbanzadeh
ESA Living Planet Symp 15 (2010), 2018, 2018
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
4th Intercontinental Geoinformation Days
ST Piralilou, G Einali, S Kiani, K Gholamnia
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