Professor Shamsollah Ayoubi

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

Research Interests

Environmental Pedology

Soil mapping

Soil Mineralogy and Micromorphology

type: Journal
Title	Date
Use of Vis-NIR reflectance spectroscopy for estimating soil phosphorus sorption parameters at the watershed scale	2025-05
Optimal Mapping of Soil Erodibility Factor (K) Using Machine Learning Models in a Semi-arid Watershed	2025-01
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils	2024-10
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	2024-07
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran	2024-07
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran	2024-07
Pine needles as bioindicator and biomagnetic indicator of selected metals in the street dust, a case study from southeastern Iran	2024-03
A two-step soil modeling approach by integrating pedological classification in digital mapping with non-stationary geostatistics	2024-02
Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale	2023-10
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D	2023-10