Langezijds

dr. M. Khodadadzadeh (Mahdi)

Assistant Professor
ITC-SCI-TECH
Langezijds 1340
m.khodadadzadeh@utwente.nl
+31534893781
Business card

Expertise

  • Earth and Planetary Sciences

    • Machine Learning
    • Augmentation
    • Cartography
    • Core
    • Drill
    • Mineral

  • Computer Science

    • Cross-Validation
    • Artificial Neural Network

Organisations

Publications

2026

Replication data for "Benchmarking methods for identifying phenological regions" (2026)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. De Oto, L., Khodadadzadeh, M., Izquierdo-Verdiguier, E. & Zurita-Milla, R.https://doi.org/10.17026/pt/y1zqazBenchmarking methods for identifying phenological regions (2026)Geomatica, 78(1). Article 100113 (E-pub ahead of print/First online). De Oto, L., Khodadadzadeh, M., Izquierdo-Verdiguier, E. & Zurita-Milla, R.https://doi.org/10.1016/j.geomat.2026.100113

2025

A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples (2025)Ecological informatics, 90. Article 103287. Wang, Y., Khodadadzadeh, M. & Zurita-Milla, R.https://doi.org/10.1016/j.ecoinf.2025.103287Deep learning-based vegetation canopy height mapping with polarimetric SAR: Application of a Polarization Fusion U-Net in Gabon’s tropical forests (2025)Science of Remote Sensing, 12, 1-16. Article 100327. Bhuiyan, R., Paris, C., Wang, T., Khodadadzadeh, M. & Schlund, M.https://doi.org/10.1016/j.srs.2025.100327Mapping and monitoring spatiotemporal desertification patterns in the arid transition zone of Algeria over the period 2002–2022 (2025)International Journal of Applied Earth Observation and Geoinformation (JAG), 143. Article 104799. Tandjaoui, A. F., Kaddour, M., De Oto, L., Guerid, H. & Khodadadzadeh, M.https://doi.org/10.1016/j.jag.2025.104799On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction (2025)GIScience & remote sensing, 62(1). Article 2460513. Wang, Y., Khodadadzadeh, M. & Zurita-Milla, R.https://doi.org/10.1080/15481603.2025.2460513

2024

Evaluating geospatial machine learning predictions: a data-driven perspective on cross-validation (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Wang, Y.https://doi.org/10.3990/1.9789036563994Analysis of desertification trends in the Algerian steppe using multitemporal satellite imagery for the period 2002-2022 (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 10277-10280) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Kaddour, M., De Oto, L., Tandjaoui, A. F., Guerid, H. & Khodadadzadeh, M.https://doi.org/10.1109/IGARSS53475.2024.10640857High Resolution Remote Sensing Images from the Algerian steppic zone (2024)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. de Oto, L. H., Khodadadzadeh, M., Tandjaoui, A. F., Kaddour, M. & Guerid, H.https://doi.org/10.17026/PT/POJGN2Remote sensing-based driving factors of desertification in the Algerian steppic zone (2024)[Dataset Types › Dataset]. DANS Data Station Physical and Technical Sciences. de Oto, L. H., Khodadadzadeh, M., Tandjaoui, A. F., Guerid, H. & Kaddour, M.https://doi.org/10.17026/PT/0DNFS0

Research profiles

Address

University of Twente

Langezijds (building no. 19), room 1340
Hallenweg 8
7522 NH Enschede
Netherlands

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