omid ghorbanzadeh
omid ghorbanzadeh
PhD Researcher in Geoinformatics, University of Salzburg, Techno Z_GIS
Verified email at stud.sbg.ac.at - Homepage
TitleCited byYear
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
412019
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
292018
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
222018
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, 2019
212019
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, 1-17, 2018
212018
A comparative study of statistics-based landslide susceptibility models: A case study of the region affected by the gorkha earthquake in nepal
SR Meena, O Ghorbanzadeh, T Blaschke
ISPRS International Journal of Geo-Information 8 (2), 94, 2019
152019
An interval matrix method used to optimize the decision matrix in AHP technique for land subsidence susceptibility mapping
O Ghorbanzadeh, B Feizizadeh, T Blaschke
Environmental Earth Sciences 77 (16), 584, 2018
152018
GIS-based interval pairwise comparison matrices as a novel approach for optimizing an analytical hierarchy process and multiple criteria weighting
B Feizizadeh, O Ghorbanzadeh
GI_Forum 1, 27-35, 2017
152017
Comparing classic and interval analytical hierarchy process methodologies for measuring area-level deprivation to analyze health inequalities
P Cabrera-Barona, O Ghorbanzadeh
International journal of environmental research and public health 15 (1), 140, 2018
132018
ASSESSING FLOOD HAZARD USING GIS BASED MULTI-CRITERIA DECISION MAKING APPROACH; STUDY AREA: EAST-AZERBAIJAN PROVINCE (KALEYBAR CHAY BASIN)
M Pirnazar, AZ Karimi, B Feizizadeh, K Ostad-Ali-Askari, S Eslamian, ...
JOURNAL OF FLOOD ENGINEERING 8 (2), 203-223, 2017
92017
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
82019
DWELLING EXTRACTION IN REFUGEE CAMPS USING CNN–FIRST EXPERIENCES AND LESSONS LEARNT.
O Ghorbanzadeh, D Tiede, Z Dabiri, M Sudmanns, S Lang
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018
72018
Optimizing Sample Patches Selection of CNN to Improve the mIOU on Landslide Detection
O Ghorbanzadeh, T Blaschke
Proceedings of the 5th International Conference on Geographical Information …, 2019
52019
Spatially Explicit Sensitivity and Uncertainty Analysis for the landslide risk assessment of the Gas Pipeline Networks
O Ghorbanzadeh, B Feizizadeh, T Blaschke, R Khosravi
21st AGILE conference on Geo-information science. Lund, Sweden 2018, 1-7, 2018
52018
Wildfire Susceptibility Evaluation By Integrating an Analytical Network Process Approach Into GIS-Based Analyses
O Ghorbanzadeh, T Blaschke
ISERD International Conference, 11th-12th July 2018, 1-6, 2018
42018
Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran
A Arabameri, J Roy, S Saha, T Blaschke, O Ghorbanzadeh, D Tien Bui
Remote Sensing 11 (24), 3015, 2019
32019
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
32019
Traffic accident spatial simulation modeling for planning of road emergency services
A Naboureh, B Feizizadeh, A Naboureh, J Bian, T Blaschke, ...
ISPRS International Journal of Geo-Information 8 (9), 371, 2019
22019
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
22019
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
22019
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