Postdoctoral Associate

Mojtaba Zeraatpisheh is a Postdoctoral Associate in Digital Soil Mapping at the Rubenstein School of Environment and Natural Resources and a Fellow of the Gund Institute for Environment at the University of Vermont. He has an MSc in Soil Science (Soil Genesis and Carbon Sequestration) from the Gorgan University of Agricultural Sciences Natural Resources in Iran, and Ph.D. from Ghent University (Belgium) and Isfahan University of Technology (Iran) in the field of Soil Science, specializing in Pedometrics and Digital Soil Mapping.

Before starting at UVM, Mojtaba worked as a Postdoctoral Researcher for 3.5 years at Henan University in China in Machine Learning for Soil Mapping and Soil Health/Land Use Change. After 12 years of studying and working mainly in the arid and semi-arid regions, he is excited to apply his research skillset to different areas with different climatic and management factors. Mojtaba is currently investigating the impact of environmental factors on Soil Organic Carbon (SOC) content in the northeastern US through a digital soil mapping approach. His work typically combines open source and field data, remote sensing, machine learning, thematic maps, climatic factors, legacy soil data, and land use/land cover maps to gain insight on SOC controlling factors.

Publications

Selected Publications

  • Mohammed, S., Elbeltagi, A., Bashir, B., Alsafadi, K., Alsilibe, F., Alsalman, A., Zeraatpisheh, M., Széles, A. Harsányi, E. 2022. A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean. Computers and Electronics in Agriculture. 197, 106925. https://doi.org/10.1016/j.compag.2022.106925
  • Zeraatpisheh, M., Bottega, E.L., Bakhshandeh, E., Owliaie, H.R., Taghizadeh-mehrjardi, R., Kerry, R., Scholten, T., Xu, M. 2022. Spatial variability of soil quality within management zones: homogeneity and purity of delineated zones. Catena 209, 105835. https://doi.org/10.1016/j.catena.2021.105835
  • Zeraatpisheh, M., Garosi, Y., Reza, H., Ayoubi, S., Taghizadeh-mehrjardi, R., Scholten, T., Xu, M., 2022. Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates. Catena 208, 105723. https://doi.org/10.1016/j.catena.2021.105723
  • Zeraatpisheh, M., Ayoubi, S., Mirbagheri, Z., Mosaddeghi, M.R., Xu, M., 2021. Spatial prediction of soil aggregate stability and soil organic carbon in aggregate fractions using machine learning algorithms and environmental variables. Geoderma Reg. 27, e00440. https://doi.org/10.1016/j.geodrs.2021.e00440
  • Naimi, S., Ayoubi, S., Demattê, J.A.M., Zeraatpisheh, M., Amorim, M.T.A., Mello, F.A. de O., 2021. Spatial Prediction of Soil Surface Properties in an Arid Region Using Synthetic Soil Image and Machine Learning. Geocarto International, pp 1–22. https://doi.org/10.1080/10106049.2021.1996639
  • Naimi, S., Ayoubi, S., Zeraatpisheh, M., Alexandre, J., Dematte, M., 2021. Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity : A Machine Learning-Based Approach. Remote Sens. 13(23), 4825, 1–22. https://doi.org/10.3390/rs13234825
  • Zhang, X., Zeraatpisheh, M., Rahman, M., Wang, S., Xu, M., 2021. Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants : A Case Study of Ningxia Autonomous Region, China. Remote Sens. 1–17.
  • Maleki, S., Karimi, A., Zeraatpisheh, M., Poozeshi, R., 2021. Long-term cultivation effects on soil properties variations in different landforms in an arid region of eastern Iran. Catena 206, 105465. https://doi.org/10.1016/j.catena.2021.105465
  • Ayoubi. S., N. Sadeghi., F. Abbaszadeh Afshar., M. Reza Abdi., Zeraatpisheh, M. J. Rodrigo-Cominof., 2021. Impacts of oak deforestation and rainfed cultivation on soil redistribution processes across hillslopes using 137Cs techniques. Forest Ecosystems 8, 32. https://doi.org/10.1186/s40663-021-00311-1
  • Zeraatpisheh, M., Jafari, A., Bagheri Bodaghabadi, M., Ayoubi, S., Taghizadeh-Mehrjardi, R., Toomanian, N., Kerry, R., Xu, M., 2020. Conventional and digital soil mapping in Iran: Past, present, and future. Catena. 188, 104424. https://doi.org/10.1016/j.catena.2019.104424
Mojtaba Zeraatpisheh

Areas of Expertise and/or Research

Peometrics, digital soil mapping, pedology, (spatial) data mining, remote sensing, and soil health/quality

Education

  • Ph.D., Geology-Soil Science (Spatial Modeling), Ghent University
  • Ph.D., Soil Science (Pedology), Isfahan University of Technology
  • M.S., Soil Science (Pedology), Gorgan University of Agricultural Sciences Natural Resources
  • B.S., Soil and Water, Azad University

Contact

Email:

mojtaba.zeraatpisheh@uvm.edu

Phone:
  • 802-399-1887
Office Location:

Farrell Hall, 210 Colchester Avenue

Website(s):
  1. Google Scholar
  2. ResearchGate