Omid Ghorbanzadeh
Omid Ghorbanzadeh
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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
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
PTT Ngo, M Panahi, K Khosravi, O Ghorbanzadeh, N Kariminejad, ...
Geoscience Frontiers 12 (2), 505-519, 2021
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
Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables
O Ghorbanzadeh, T Blaschke, K Gholamnia, J Aryal
Fire 2 (3), 50, 2019
Sustainable urban transport planning considering different stakeholder groups by an interval-AHP decision support model
O Ghorbanzadeh, S Moslem, T Blaschke, S Duleba
Sustainability 11 (1), 9, 2018
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
Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches
O Ghorbanzadeh, K Valizadeh Kamran, T Blaschke, J Aryal, A Naboureh, ...
Fire 2 (3), 43, 2019
Analysing stakeholder consensus for a sustainable transport development decision by the fuzzy AHP and interval AHP
S Moslem, O Ghorbanzadeh, T Blaschke, S Duleba
Sustainability 11 (12), 3271, 2019
A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold crossvalidation approach for land subsidence susceptibility mapping
O Ghorbanzadeh, H Rostamzadeh, T Blaschke, K Gholaminia, J Aryal
Natural Hazards, 2018
A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
O Ghorbanzadeh, T Blaschke, J Aryal, K Gholaminia
Journal of Spatial Science 65 (3), 401-418, 2020
Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses
O Ghorbanzadeh, B Feizizadeh, T Blaschke
Geomatics, Natural Hazards and Risk 9 (1), 127-151, 2018
Landslide detection using deep learning and object-based image analysis
O Ghorbanzadeh, H Shahabi, A Crivellari, S Homayouni, T Blaschke, ...
Landslides 19 (4), 929-939, 2022
Flood susceptibility mapping using an improved analytic network process with statistical models
P Yariyan, M Avand, RA Abbaspour, A Torabi Haghighi, R Costache, ...
Geomatics, Natural Hazards and Risk 11 (1), 2282-2314, 2020
Comparisons of diverse machine learning approaches for wildfire susceptibility mapping
K Gholamnia, T Gudiyangada Nachappa, O Ghorbanzadeh, T Blaschke
Symmetry 12 (4), 604, 2020
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
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping
A Arabameri, S Chandra Pal, F Rezaie, R Chakrabortty, A Saha, ...
Geocarto International 37 (16), 4594-4627, 2021
Mapping potential nature-based tourism areas by applying GIS-decision making systems in East Azerbaijan Province, Iran
O Ghorbanzadeh, S Pourmoradian, T Blaschke, B Feizizadeh
Journal of Ecotourism 18 (3), 261-283, 2019
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)
O Ghorbanzadeh, A Crivellari, P Ghamisi, H Shahabi, T Blaschke
Scientific Reports 11 (1), 14629, 2021
DEM resolution effects on machine learning performance for flood probability mapping
M Avand, A Kuriqi, M Khazaei, O Ghorbanzadeh
Journal of Hydro-Environment Research 40, 1-16, 2022
An integrated approach of best-worst method (BWM) and triangular fuzzy sets for evaluating driver behavior factors related to road safety
S Moslem, M Gul, D Farooq, E Celik, O Ghorbanzadeh, T Blaschke
Mathematics 8 (3), 414, 2020
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