Comparison of different methods for reconstruction of instantaneous peak flow data. - Ali Fathzadeh; Azam Jaydari; Ruhollah Taghizadeh-Mehrjardi (Intell. Autom. Soft Comput., 2017)

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran. - Mostafa Emadi; Ruhollah Taghizadeh-Mehrjardi; Ali Cherati; Majid Danesh; Amir Mosavi; Thomas Scholten (Remote. Sens., 2020)

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space. - Ruhollah Taghizadeh-Mehrjardi; Karsten Schmidt 006; Alireza Amirian-Chakan; Tobias Rentschler; Mojtaba Zeraatpisheh; Fereydoon Sarmadian; Roozbeh Valavi; Naser Davatgar; Thorsten Behrens; Thomas Scholten (Remote. Sens., 2020)

Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data. - Mona Morsy; Ruhollah Taghizadeh-Mehrjardi; Silas C. Michaelides; Thomas Scholten; Peter Dietrich; Karsten Schmidt 006 (Remote. Sens., 2021)

Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions. - Ruhollah Taghizadeh-Mehrjardi; Mostafa Emadi; Ali Cherati; Brandon Heung; Amir Mosavi; Thomas Scholten (Remote. Sens., 2021)

Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model. - Ruhollah Taghizadeh-Mehrjardi; Hassan Fathizad; Mohammad Ali Hakimzadeh Ardakani; Hamid Sodaiezadeh; Ruth Kerry; Brandon Heung; Thomas Scholten (Remote. Sens., 2021)

A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties. - Ruhollah Taghizadeh-Mehrjardi; Hossein Khademi; Fatemeh Khayamim; Mojtaba Zeraatpisheh; Brandon Heung; Thomas Scholten (Remote. Sens., 2022)

Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates. - Reza Mirzaeitalarposhti; Hossein Shafizadeh-Moghadam; Ruhollah Taghizadeh-Mehrjardi; Michael Scott Demyan (Remote. Sens., 2022)

Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils. - Tom Broeg; Michael Blaschek; Steffen Seitz 003; Ruhollah Taghizadeh-Mehrjardi; Simone Zepp; Thomas Scholten (Remote. Sens., 2023)

Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents. - Abdelkrim Bouasria; Yassine Bouslihim; Surya Gupta; Ruhollah Taghizadeh-Mehrjardi; Tomislav Hengl (Ecol. Informatics, 2023)

Exploring the Potential of PRISMA Satellite Hyperspectral Image for Estimating Soil Organic Carbon in Marvdasht Region, Southern Iran. - Mehdi Golkar Amoli; Mahdi Hasanlou; Ruhollah Taghizadeh-Mehrjardi; Farhad Samadzadegan (Remote. Sens., 2024)

Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data. - Hadi Shokati; Mahmoud Mashal; Aliakbar Noroozi; Ali Akbar Abkar; Saham Mirzaei; Zahra Mohammadi-Doqozloo; Ruhollah Taghizadeh-Mehrjardi; Pegah Khosravani; Kamal Nabiollahi; Thomas Scholten (Remote. Sens., 2024)

Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation. - Kamal Nabiollahi; Ndiye M. Kebonye; Fereshteh Molani; Mohammad Hossein Tahari-Mehrjardi; Ruhollah Taghizadeh-Mehrjardi; Hadi Shokati; Thomas Scholten (Remote. Sens., 2024)

Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province. - Soraya Bandak; Abdolhossein Boali; Soraya Yaghobi; Ruhollah Taghizadeh-Mehrjardi (Earth Sci. Informatics, 2025)