Professor Shamsollah Ayoubi

ayoubi@iut.ac.ir
Office
Departmnet of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
Phone
+98 313 3913470
Fax
+98 313 3913471
Positions
Soil Sciences and Environmental Pedology
Research Interests
Environmental Pedology
Soil mapping
Soil Mineralogy and Micromorphology
More Articles
Journal Papers
Title DOI type
Use of Vis-NIR reflectance spectroscopy for estimating soil phosphorus sorption parameters at the watershed scale 10.1016/j.still.2025.106460 Journal
Optimal Mapping of Soil Erodibility Factor (K) Using Machine Learning Models in a Semi-arid Watershed 10.1007/s41748-024-00553-3 Journal
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils 10.1177/09670335241269168 Journal
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China 10.1016/j.jenvman.2024.121311 Journal
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran 10.1016/j.still.2024.106238 Journal
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran 10.31545/intagr/188506 Journal
Pine needles as bioindicator and biomagnetic indicator of selected metals in the street dust, a case study from southeastern Iran 10.1016/j.chemosphere.2024.141281 Journal
A two-step soil modeling approach by integrating pedological classification in digital mapping with non-stationary geostatistics 10.1080/15324982.2024.2317399 Journal
Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale 10.1007/s11629-023-8056-z Journal
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D 10.1016/j.geodrs.2023.e00724 Journal