Distributed Intelligence

Dr. Hadi Shokati

Position / Function

Contact
Dr. Hadi Shokati
Department of Computer Science
Maria-von-Linden-Straße 6, 72076 Tübingen
Office: 00-30/A24
Email: hadi.shokati[AT]uni[MINUS]tuebingen[DOT]de
Website  Linkedln Google Scholar ResearchGate

Short CV

August 2023 - to present
Postdoc

University of Tübingen

2023 - 2026
PhD Student

Department of Geoscience, Faculty of Science, Eberhard Karls University Tübingen
Thesis: “Soil erosion in agricultural landscapes in the context of dynamic changes of land use patterns and structures (DYLAMUST)”

March 2023 - August 2023
Visiting Student

Department of Geoscience, Faculty of Science, Eberhard Karls University Tübingen

2017 - 2019
M.Sc.

Department of Water Engineering, Tarbiat Modares University, Iran.

2013 - 2016
B.Sc.

Department of Water Science and Engineering, Mohaghegh Ardabili University, Iran.

Selected References

All Publications

  • Seufferheld, K. D., Batista, P. V., Shokati, H., Scholten, T., & Fiener, P. (2026). A GLUE-based assessment of WaTEM/SEDEM for simulating soil erosion, transport, and deposition in soil conservation optimised agricultural watersheds.Soil,12(1), 301-319. https://doi.org/10.5194/soil-12-301-2026
  • Shokati, H., Seufferheld, K. D., Fiener, P., & Scholten, T. (2026). Rapid flood mapping from aerial imagery using fine-tuned SAM and ResNet-backboned U-Net. Hydrology and Earth System Sciences,30 (3), 743-756. https://doi.org/10.5194/hess-30-743-2026
  • Khosravani, P., Kebonye, N. M., Taghizadeh-Mehrjardi, R., Shokati, H., Hu, L., & Scholten, T. (2026). Soil pH and latitude as a major predictor of C: N: P stoichiometry in Germany. Catena, 264, 109785. https://doi.org/10.1016/j.catena.2025.109785
  • Shokati, H., Mashal, M., Noroozi, A., Mirzaei, S., Mohammadi-Doqozloo, Z., Nabiollahi, K., Taghizadeh-Mehrjardi, R., Khosravani, P., Adhikari, R., Hu, L., and Scholten, T. (2025). Comparing UAV-Based Hyperspectral and Satellite-Based Multispectral Data for Soil Moisture Estimation Using Machine Learning. Water, 17, 1715. https://doi.org/10.3390/w17111715
  • Shokati, H., Engelhardt, A., Seufferheld, K., Taghizadeh, R., Fiener, P., Lensch, H., and Scholten, T. (2025). Erosion-SAM: Semantic segmentation of soil erosion by water. CATENA, 254, 108954. doi: 10.1016/j.catena.2025.108954.
  • Hu, L., Hochschild, V., Neidhardt, H., Schultz, M., Khosravani, P., and Shokati, H. (2024). BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany. Remote Sensing, 17(1), 7. doi: 10.3390/rs17010007.
  • Nabiollahi, K., Kebonye, N. M., Molani, F., Tahari-Mehrjardi, M. H., Taghizadeh, R., Shokati, H. and Scholten, T. (2024). Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation. Remote Sensing, 16(14), 2566. p. doi: 10.3390/rs16142566
  • Khosravani, P., Baghernejad, M., Taghizadeh, R., Mousavi, S. R., Moosavi, A. A., Fallah Shamsi, S. R., Shokati, H., Kebonye, N. M. and Scholten, T. (2024). Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran. Land, 13(8), 1309. p. doi: 10.3390/land13081309
  • Shokati, H., Mashal, M., Noroozi, A., Abkar, A.A., Mirzaei, S., Mohammadi-Doqozloo, Z., Taghizadeh, R., Khosravani, P., Nabiollahi, K., Scholten, T. (2024). Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data. Remote Sensing. 16(11):1962. doi: 10.3390/rs16111962
  • Shokati, H., Kouchakzadeh, M. and Fashi, F.H., 2020. Assessing reliability of rainwater harvesting systems for meeting water demands in different climatic zones of Iran. Modeling Earth Systems and Environment, 6(1), pp.109-114. doi: 10.1007/s40808-019-00662-3
  • Shokati, H., Mashal, M., Noroozi, A.A. and Mirzaei, S., 2023. Evaluating the Accuracy of Precipitation Products Over Utah, United States, Using the Google Earth Engine Platform. Desert, 28(1), pp.145-162. doi: 10.22059/jdesert.2023.93548
  • Shokati, H., Mashal, M., Noroozi, A., Mirzaei, S. and Mohammadi-Doqozloo, Z., 2023. Assessing soil moisture levels using visible UAV imagery and machine learning models. Remote Sensing Applications: Society and Environment, 32, p.101076. doi: 10.1016/j.rsase.2023.101076
  • Shokati, H., Kouchakzadeh, M. and Noroozi, A., 2021. Designing of Rainwater Harvesting Systems Using Drone Images. Engineering Journal, 14(48), pp.73-85. (In Persian). doi: 10.30495/wej.2021.4590
  • Shokati, H., Kouchakzadeh, M. and Noroozi, A., 2021. Reliability, Optimization and Economic Analysis of the Rainwater Harvesting System from the Rooftop. Iranian Journal of Irrigation and Water Engineering. (In Persian).
  • Shokati, H., Kouchakzadeh, M. and Noroozi, A.A., 2019. Urban runoff management in sustainable development and the environment. Journal of Environmental Science Studies, 4(1), pp.1100-1107. (In Persian). www.jess.ir/article_87096.html
  • Sojoodi, Z., Shokati, H. and Mashal, M., 2022. Estimation of Evapotranspiration in Landscape by WUCOLS, PF and IPOS Methods. Journal of Water and Soil. (In Persian). doi: 10.22067/JSW.2022.73984.1119
  • Shokati, H., Sojoodi, Z. and Mashal, M., 2022. Optimization and Feasibility Study of using Rainwater Harvesting Systems in Ardabil. Journal of Water and Soil. (In Persian). doi: 10.22067/JSW.2022.73460.1111

Conference Contributions

Shokati, H., Seufferheld, K. D., Fiener, P., & Scholten, T. (2026). Long-Term Trends in Rainfall Erosivity Derived from a Deep Learning Reconstruction Framework (No. EGU26-1408). Copernicus Meetings.

Seufferheld, K. D., Chalaux-Clergue, T., Woldemariam, A. D., Shokati, H., Scholten, T., & Fiener, P. (2026). Evaluating the Spatial Performance of WaTEM/SEDEM Using Multi-Source Datasets Across Scales (No. EGU26-1640). Copernicus Meetings.

Shokati, H., Seufferheld, K. D., Fiener, P., & Scholten, T. (2025). Fine-tuning the Segment Anything Model for Automated Flood Detection in Aerial Imagery. DBG Conference, Tübingen, Germany.

Shokati, H., Engelhardt, A., Seufferheld, K., Taghizadeh, R., Fiener, P., and Scholten, T. (2025): Automated high-resolution detection of soil erosion and deposition features in agricultural fields using the fine-tuned Segment Anything Model, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-827, doi: 10.5194/egusphere-egu25-827.

Seufferheld, K. D., Batista, P. V. G., Shokati, H., Scholten, T., and Fiener, P. (2025): WaTEM/SEDEM's capability in simulating watershed-scale soil conservation: Using the GLUE approach to analyse the representation of in-field processes and connectivity features along thalwegs, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1799, doi: 10.5194/egusphere-egu25-1799.

Shokati, H., Mashal, M., Noroozi, A., Abkar, A.A. and Scholten, T. (2024). Comparison Of Hyperspectral And Multispectral Remote Sensing For Improved Surface Soil Moisture Estimation. 13th EARSeL Workshop on Imaging Spectroscopy, València, Spain.

Nabiollahi, K., Molani, F., Taghizadeh, R., Tahari-Mehrjardi, M. H., Shokati, H., Khosravani, P., Kebonye, N. M and Scholten, T. (2024). Comparison of advanced multicriteria decision and FAO models for land suitability assessment. EGU General Assembly 2024, Vienna, Austria.

Shokati, H., Kouchakzadeh, M. and Noroozi, A.A., 2019. Determining the Number and Location of Tanks for Rainwater Harvesting Systems using Drone Images. 9th National Conference on Watershed and Management of Water and Soil Resources.

Shokati, H., Kouchakzadeh, M. and Noroozi, A.A., 2019. Design and Optimization of Rainwater Harvesting Systems. 9th National Conference on Watershed and Management of Water and Soil Resources.

Shokati, H., Kouchakzadeh, M., Noroozi, A.A. and Osouli, S., 2019. Assessing performance of rainwater harvesting systems in Karaj. 7th National Conference on rainwater catchment systems.

Research Interests

Machine Learning and Deep Learning
Multispectral and Hyperspectral Remote Sensing
Soil Erosion
UAV Surveying
Precision Agriculture
Spectroscopy
Soil Moisture Modeling