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.
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)
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)
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)