Ruhollah Taghizadeh-Mehrjardi

According to our database, Ruhollah Taghizadeh-Mehrjardi authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, December, 2023

Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils.

Tom Broeg, Michael Blaschek, Steffen Seitz, Ruhollah Taghizadeh-Mehrjardi, Simone Zepp, Thomas Scholten

Remote. Sens., February, 2023

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., December, 2022

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

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

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

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

Remote. Sens., 2021

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, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten

Remote. Sens., 2020

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

2017

Comparison of different methods for reconstruction of instantaneous peak flow data.

Ali Fathzadeh, Azam Jaydari, Ruhollah Taghizadeh-Mehrjardi

Intell. Autom. Soft Comput., 2017