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ORCIDOmid Ghorbanzadeh
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2020 – today
- 2024
[j27]Omid Ghorbanzadeh
, Hejar Shahabi, Sepideh Tavakkoli Piralilou, Alessandro Crivellari, Laura Elena Cue La Rosa, Clement Atzberger, Jonathan Li, Pedram Ghamisi:
Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection. IEEE Access 12: 118453-118466 (2024)- 2023
- [j26]Ratiranjan Jena, Abdallah Shanableh, Rami Al-Ruzouq, Biswajeet Pradhan, Mohamed Barakat A. Gibril, Mohamad Ali Khalil, Omid Ghorbanzadeh, Ganapathy Pattukandan Ganapathy, Pedram Ghamisi:
Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula. Remote. Sens. 15(9): 2248 (2023) - [j25]Ratiranjan Jena, Abdallah Shanableh, Rami Al-Ruzouq, Biswajeet Pradhan, Mohamed Barakat A. Gibril, Omid Ghorbanzadeh, Clement Atzberger, Mohamad Ali Khalil, Himanshu Mittal, Pedram Ghamisi:
An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region. Remote. Sens. 15(15): 3759 (2023) - 2022
- [j24]Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, Thomas Blaschke, Pedram Ghamisi:
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. Remote. Sens. 14(3): 672 (2022) - [j23]Soodabeh Namdari, Ali Ibrahim Zghair Alnasrawi, Omid Ghorbanzadeh, Armin Sorooshian, Khalil Valizadeh Kamran, Pedram Ghamisi:
Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East. Remote. Sens. 14(13): 2963 (2022) - [j22]Omid Ghorbanzadeh, Alessandro Crivellari, Dirk Tiede, Pedram Ghamisi, Stefan Lang:
Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning. Remote. Sens. 14(24): 6382 (2022) - [j21]Bilal Aslam, Ahsen Maqsoom, Umer Khalil, Omid Ghorbanzadeh, Thomas Blaschke, Danish Farooq, Rana Faisal Tufail, Salman Ali Suhail, Pedram Ghamisi:
Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. Sensors 22(9): 3107 (2022) - [j20]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9927-9942 (2022) - [j19]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c3]Hejar Shahabi, Omid Ghorbanzadeh:
Model-Centric vs Data-Centric Deep Learning Approaches for Landslide Detection. CDCEO@IJCAI 2022: 44-49 - [c2]Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter:
The Landslide4Sense Competition 2022. CDCEO@IJCAI 2022: 91 - [i2]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. CoRR abs/2206.00515 (2022) - [i1]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. CoRR abs/2209.02556 (2022) - 2021
- [j18]Hejar Shahabi, Maryam Rahimzad, Sepideh Tavakkoli Piralilou, Omid Ghorbanzadeh, Saeid Homayouni, Thomas Blaschke, Samsung Lim, Pedram Ghamisi:
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. Remote. Sens. 13(22): 4698 (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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