Soil Science & Geomorphology

Hadi Shokati

Address:
Eberhard Karls University Tübingen
Soil Science and Geomorphology
Rümelinstraße 19 – 23
D-72070 Tübingen

Office: Room W310, Westbau

Contact:
+49(0)1590-13-84204
hadi.shokatispam prevention@uni-tuebingen.de

Consulting hours:
By arrangement

Google Scholar: Visit Google Scholar    ResearchGate:  Visit ResearchGate

CV

*23rd November 1994 (Maragheh, Iran)

Research Topics

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

Work Experience & Education

Currently
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.

Current Projects

DFG funded: Soil erosion in agricultural landscapes in the context of dynamic changes of land use
patterns and structures (DYLAMUST). 

Completed Projects

A Comprehensive Review and Completion of Studies on Freshwater Springs in the Persian Gulf (March 2022)

Teaching

B.Sc.

  • Fluid Mechanics (TA), University of Tehran.

M.Sc.

  • Designing surface irrigation systems (TA), University of Tehran.
  • Designing drainage and irrigation networks (TA), University of Tehran.

Ph.D.

  • Surface irrigation hydraulics (TA), University of Tehran.

Publications

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). http://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., 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.