Dr. Ruhollah Taghizadeh-Mehrjardi

Profile

Academic positionLecturer, Assistant Professor, Researcher
Research fieldsSoil Sciences,Urbanism, Spatial Planning, Transportation and Infrastructure Planning, Landscape Planning
KeywordsSoil Quality, Legacy Data, 3D Modelling, Desertification, Pedometrics
Honours and awards

2017: Alexander Humboldt Postdoctoral Fellowship

2016: Research Assistant, South Dakota State University, USA

2012: Internship, The University of Sydney, Australia

2008: Full Scholarship to pursue a Ph.D., Ministry of Science and Technology of Iran

Current contact address

CountryIran
CityArdakan
InstitutionUniversity of Ardakan
InstituteDepartment of Agriculture and Natural Resources

Host during sponsorship

Prof. Dr. Thomas ScholtenLehrstuhl Physische Geographie und Bodenkunde, Eberhard Karls Universität Tübingen, Tübingen
Start of initial sponsorship01/11/2017

Programme(s)

2015Georg Forster Research Fellowship Programme for Postdocs

Publications (partial selection)

2020M Zeraatpisheh, A Jafari, M Bagheri, S Ayoubi, R Taghizadeh-Mehrjardi, N Toomanian, R Kerry, M Xu : Conventional and Digital Soil Mapping in Iran: Past, Present, and Future. In: Catena, 2020, 104424
2020R Taghizadeh-Mehrjardi, K Schmidt, A Amirian-Chakan, T Rentschler, M Zeraatpisheh, F Sarmadian, R Valavi, N Davatgar, T Behrens, T Scholten : Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space . In: Remote Sensing , 2020, 1095
2020H Fathizad, MA Hakimzadeh, H Sodaiezadeh, R Kerry, R Taghizadeh-Mehrjardi : Investigation of the spatial and temporal variation of soil salinity using random forests in the central desert of Iran. In: Geoderma, 2020, 114233
2020R Taghizadeh-Mehrjardi, K Nabiollahi, L Rasouli, R Kerry, T Scholten : Land suitability assessment and agricultural production sustainability using machine learning models . In: Agronomy, 2020, 573
2020Taghizadeh-Mehrjardi, R and Mahdianpari, M and Mohammadimanesh, F and Behrens, T and Toomanian, N and Scholten, T and Schmidt, K: Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran. In: Geoderma, 376, 2020, 114552
2020R Taghizadeh-Mehrjardi, M Mahdianpari, F Mohammadimanesh, T Behrens, N Toomanian, T Scholten, K Schmidt : Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran . In: Geoderma, 2020,
2020M Emadi, R Taghizadeh-Mehrjardi, A Cherati, M Danesh, A Mosavi, T Sholten : Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran . In: Remote Sensing , 2020, 2234
2020AA Zolfaghari, Meysam Abolkheiryana, AA Soltani Toularoud, R Taghizadeh-Mehrjardi, AO Weldeyohannese : Prediction of Soil Macronutrients using fractal parameters and Artificial Intelligence Methods . In: Spanish Journal of Agricultural Research , 2020,
2020H Mahmoudzadeh, HR Matinfar, R Taghizadeh-Mehrjardi, R Kerry : Spatial prediction of soil organic carbon using machine learning techniques in western Iran . In: Geoderma Regional , 2020, e00260
2020H Fathizad, MA Hakimzadeh, B Heung, H Sodaiezadeh, A Rahmani, H Fathabadi, T Scholten, R Taghizadeh-Mehrjardi : Spatio-temporal dynamic of soil quality in the Central Iranian desert modeled with Machine Learning and Digital Soil Assessment techniques . In: Ecological Indicator , 2020,
2019Ruhollah Taghizadeh-Mehrjardi, Masoud Mahdianpari, Fariba Mohammadimanesh, Norair Toomanian, Thorsten Behrens, Thomas Scholten, Karsten Schmidt: A novel convolutional neural network for digital soil mapping . EGU General Assembly. 2019.
2019R Taghizadeh–Mehrjardi, B Minasny, N Toomanian, M Zeraatpisheh, A Amirian, J Triantafilis : Digital Mapping of Soil Classes using Ensemble of Models in Isfahan Region, Iran. In: Soil Systems, 2019,
2019R Taghizadeh-Mehrjardi : Digital mapping of soil functions using machine learning methods in Iran . 9th Bonn Humboldt Award Winners’ Forum “Frontiers in Biogeography, Ecology, Anthropology, and Evolution . 2019.
2019M Jamshidi, M.A Delavar, R Taghizadeh-Mehrjardi, C Brungard : Disaggregation of conventional soil map by generating multi realizations of soil class distribution (case study: Saadat Shahr plain, Iran). In: Environmental Monitoring and Assessment , 2019, 769
2019R Taghizadeh-Mehrjardi, K Schmidt, K Nabiollahi, L Rasoli, T Scholten : Machine learning and land suitability assessment for irrigated wheat crop in Kurdistan, Iran . The Joined Annual Meeting of the Soil Science Society of Switzerland and the German Soil Science Society . 2019.
2019Ruhollah Taghizadeh-Mehrjardi, Arun Bawa, Sandeep Kumar, Mojtaba Zeraatpisheh, Alireza Amirian, Ali Akbarzadeh: Soil Erosion Spatial Prediction using Digital Soil Mapping and RUSLE methods for Big Sioux River Watershed . In: Soil Systems, 2019, 43
2019Z Avazpoor, M Moradi, R Basiri, J Mirzaei, R Taghizadeh-Mehrjardi, R Kerry : Soil enzyme activity variations in riparian forests in relation to plant species and soil depth . In: Arabian Journal of Geosciences , 2019, 708
2019Ruhollah Taghizadeh-Mehrjardi (1,4), Karsten Schmidt (1,5), Mojtaba Zeraatpisheh (2), Thorsten Behrens (1), Roozbeh Valavi (3), Thomas Scholten (1,5): Soil organic carbon mapping using state-of-the-art machine learning algorithms and deep neural networks in different climatic regions of Iran. EGU General Assembly. 2019.
2019A Amirian-Chakan, B Minasny, R Taghizadeh-Mehrjardi : Some practical aspects of predicting texture data in digital soil mapping . In: Soil & Tillage Research, 2019, 104289
2019R Taghizadeh-Mehrjardi, K Schmidt, K Eftekhari, T Behrens, M Jamshidi, N Davatgaar, N Toomanian, T Scholten : Synthetic resampling strategies and machine learning for digital soil mapping in Iran . In: European Journal of Soil Science , 2019,
2019E Mehrabi-Gohari, H.R Matinfar, A Jafari, R Taghizadeh-Mehrjardi, J Triantafilis : The Spatial Prediction of Soil Texture Fractions in Arid Regions of Iran . In: Soil Systems , 2019, 65
R Taghizadeh-Mehrjardi, K Schmidt, K Eftekhari, T Scholten : Digital mapping of WRB-soil classes in Iran using random forest prediction model . In: EGU General Assembly Conference Abstracts 20, 19108 , ,
R Taghizadeh-Mehrjardi, K Schmidt, K Eftekhari, T Rentschler, T Scholten : Updating the categorical soil map of Iran using limited soil legacy data. In: 21st World Congress of Soil Science , ,
R Taghizadeh-Mehrjardi, K Schmidt, T Scholten : Water Management System in Qanat. An example of Yazd (Iran) . In: International Conference on Underwater Archaeology , ,