Gund Postdoctoral Fellow, Postdoctoral Associate in Digital Soil Mapping, Rubenstein School of Environment and Natural Resources

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.

Publications

  • 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
  • Taghizadeh-Mehrjardi R., Sheikhpour, R., Zeraatpisheh, M. 2022. Semi-supervised learning for the spatial extrapolation of soil information. Geoderma. Elsevier B.V.; 2022;426(April):116094. https://doi.org/10.1016/j.geoderma.2022.116094
  • 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
  • Bakhshandeh, E., Zeraatpisheh, M., Soleimani, A. and Francaviglia, R., 2022. Land use conversion, climate change and soil organic carbon: Modeling a citrus garden chronosequence in Northern Iran. Geoderma Regional, p.e00559. https://doi.org/10.1016/j.geodrs.2022.e00559
  • Mohammed, S., Elbeltagi, A., Bashir, B., Alsafadi, K., Alsilibe, F., Alsalman, A., Zeraatpisheh, M., Széles, A. and 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, p.106925. https://doi.org/10.1016/j.compag.2022.106925

Areas of Expertise and/or Research

Soil landscape modeling, Spatial analysis, Data mining, Pedometrics, Climate change, Soil quality assessment

Education

  • Ph.D., Geology-Soil Science (Spatial modeling), Ghent University (2017)
  • Ph.D., Soil Science (Pedology), Isfahan University of Technology (2017)
  • MS, Soil Science (Pedology), Gorgan University of Agricultural Sciences Natural Resources (2010)
  • BS, Soil and Water, Azad University (2008)

Contact

Email:

mojtaba.zeraatpisheh@uvm.edu

Phone:
  • 802-399-1887
Office Location:

Farrell Hall, 210 Colchester Avenue

Website(s):
  1. Google Scholar
  2. Research Gate
  3. LinkedIn
  4. Twitter