Omid Ghorbanzadeh

Omid works as a Postdoctoral Researcher in the AI4RS group at IARAI. He is a GIS and remote sensing expert with a strong background in research and development of machine (deep) learning models for the monitoring of land cover dynamics and natural hazards with over 50 papers in international journals. He was a recipient of the Best Paper Awards at the GISTAM 2019 Conf., Journals of Mathematics 2020, Spatial Science 2021, and Remote Sensing 2021.

Publications

2022

O. Ghorbanzadeh, Y. Xu, P. Ghamisi, M. Kopp, and D. Kreil (2022) Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. arXiv:2206.00515, 2022-06-01. (more) (download)

B. Aslam, A. Maqsoom, U. Khalil, O. Ghorbanzadeh, T. Blaschke, D. Farooq, R. F. Tufail, S. A. Suhail, and P. Ghamisi (2022) Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. Sensors, 22, 9, 3107, 2022-04-19. (more) (download)

A. Arabameri, A. S. Danesh, M. Santosh, A. Cerda, S. C. Pal, O. Ghorbanzadeh, P. Roy, and I. Chowdhuri (2022) Flood Susceptibility Mapping Using Meta-heuristic Algorithms. Geomatics, Natural Hazards and Risk, 13, 1, 949-974, 2022-04-11. (more) (download)

O. Ghorbanzadeh, K. Gholamnia, and P. Ghamisi (2022) The Application of ResU-Net and OBIA for Landslide Detection from Multi-Temporal Sentinel-2 Images. Big Earth Data, 2022-02-14. (more) (download)

S. T. Piralilou, G. Einali, O. Ghorbanzadeh, T. G. Nachappa, K. Gholamnia, T. Blaschke, and a. P. Ghamisi (2022) A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. Remote Sensing, 14, 3, 672, 2022-01-30. (more) (download)

O. Ghorbanzadeh, H. Shahabi, A. Crivellari, S. Homayouni, T. Blaschke, and P. Ghamisi (2022) Landslide Detection Using Deep Learning and Object-Based Image Analysis. Landslides, 19, 4, 929, 2022-01-20. (more) (download)

M. Avand, A. Kuriqi, M. Khazaei, and O. Ghorbanzadeh (2022) DEM Resolution Effects on Machine Learning Performance for Flood Probability Mapping. Journal of Hydro-environment Research, 40, 1-16, 2022-01-01. (more) (download)

2021

H. Shahabi, M. Rahimzad, S. T. Piralilou, O. Ghorbanzadeh, S. Homayouni, T. Blaschke, S. Lim, and a. P. Ghamisi (2021) Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. Remote Sensing, 13, 22, 4698, 2021-11-20. (more) (download)

H. Ebrahimy, A. Naboureh, B. Feizizadeh, J. Aryal, and a. O. Ghorbanzadeh (2021) Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy. Applied Sciences, 11, 21, 10309, 2021-11-03. (more) (download)

©2022 IARAI - INSTITUTE OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE

Imprint | Privacy Policy

Stay in the know with developments at IARAI

We can let you know if there’s any

updates from the Institute.
You can later also tailor your news feed to specific research areas or keywords (Privacy)
Loading

Log in with your credentials

Forgot your details?

Create Account