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ORCIDOmid Ghorbanzadeh
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2020 – today
- 2021
[j17]Omid Ghorbanzadeh
, Sansar Raj Meena, Hejar Shahabi Sorman Abadi, Sepideh Tavakkoli Piralilou, Zhiyong Lv, Thomas Blaschke:
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 452-463 (2021)- 2020
- [j16]Ahsen Maqsoom, Bilal Aslam, Umer Khalil, Omid Ghorbanzadeh, Hassan Ashraf, Rana Faisal Tufail, Danish Farooq, Thomas Blaschke:
A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China-Pakistan Economic Corridor (CPEC) Route. ISPRS Int. J. Geo Inf. 9(5): 332 (2020) - [j15]Meisam Moharrami, Amin Naboureh, Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Xudong Guan, Thomas Blaschke:
National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making. ISPRS Int. J. Geo Inf. 9(6): 393 (2020) - [j14]Omid Ghorbanzadeh, Khalil Didehban, Hamid Rasouli, Khalil Valizadeh Kamran, Bakhtiar Feizizadeh, Thomas Blaschke:
An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping. ISPRS Int. J. Geo Inf. 9(10): 561 (2020) - [j13]Saeedeh Eskandari, Mohammad Reza Jaafari, Patricia Oliva, Omid Ghorbanzadeh, Thomas Blaschke:
Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data. Remote. Sens. 12(12): 1912 (2020) - [j12]Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, Thomas Blaschke:
Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria. Remote. Sens. 12(17): 2757 (2020) - [j11]Sarbast Moslem, Danish Farooq, Omid Ghorbanzadeh, Thomas Blaschke:
Application of the AHP-BWM Model for Evaluating Driver Behavior Factors Related to Road Safety: A Case Study for Budapest. Symmetry 12(2): 243 (2020) - [j10]Peyman Yariyan, Mohammadtaghi Avand, Fariba Soltani, Omid Ghorbanzadeh, Thomas Blaschke:
Earthquake Vulnerability Mapping Using Different Hybrid Models. Symmetry 12(3): 405 (2020) - [j9]Khalil Gholamnia, Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Thomas Blaschke:
Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping. Symmetry 12(4): 604 (2020)
2010 – 2019
- 2019
- [j8]Sansar Raj Meena, Omid Ghorbanzadeh, Thomas Blaschke:
A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal. ISPRS Int. J. Geo Inf. 8(2): 94 (2019) - [j7]Amin Naboureh, Bakhtiar Feizizadeh, Abbas Naboureh, Jinhu Bian, Thomas Blaschke, Omid Ghorbanzadeh, Meisam Moharrami:
Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services. ISPRS Int. J. Geo Inf. 8(9): 371 (2019) - [j6]Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Dirk Tiede, Jagannath Aryal:
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection. Remote. Sens. 11(2): 196 (2019) - [j5]Omid Ghorbanzadeh, Sansar Raj Meena, Thomas Blaschke, Jagannath Aryal:
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks. Remote. Sens. 11(17): 2046 (2019) - [j4]Sepideh Tavakkoli Piralilou, Hejar Shahabi, Abdollah A. Jarihani, Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Jagannath Aryal:
Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas. Remote. Sens. 11(21): 2575 (2019) - [j3]Omid Rahmati, Omid Ghorbanzadeh, Teimur Teimurian, Farnoush Mohammadi, John P. Tiefenbacher, Fatemeh Falah, Saied Pirasteh, Phuong-Thao Thi Ngo, Dieu Tien Bui:
Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions. Remote. Sens. 11(24): 2995 (2019) - [j2]Alireza Arabameri, Jagabandhu Roy, Sunil Saha, Thomas Blaschke, Omid Ghorbanzadeh, Dieu Tien Bui:
Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran. Remote. Sens. 11(24): 3015 (2019) - [j1]Hejar Shahabi, Abdollah A. Jarihani, Sepideh Tavakkoli Piralilou, David Chittleborough, Mohammadtaghi Avand, Omid Ghorbanzadeh:
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia. Sensors 19(22): 4893 (2019) - [c1]Omid Ghorbanzadeh, Thomas Blaschke:
Optimizing Sample Patches Selection of CNN to Improve the mIOU on Landslide Detection. GISTAM 2019: 33-40
Coauthor Index
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