Broeg, T., Don, A., Gocht, A., Scholten, T., Taghizadeh, R., Erasmi, S. (2024). Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland.  Geoderma, 444, 116850. doi: 10.1016/j.geoderma.2024.116850

Wang, N., Chen, S., Huang, J., Frappart, F., Taghizadeh, R., Zhang, X., Wigneron, J.-P., Xue, J., Xiao, Y., Peng, J. and Shi, Z. (2024). Global Soil Salinity Estimation at 10 m Using Multi-source Remote Sensing. Journal of Remote Sensing, 0130. doi: 10.34133/remotesensing.0130

Taghizadeh, R., Nabiollahi, K., Kebonye, N. M., Kakhani, N., Ghebleh-Goydaragh, M., Heung, B., Amirian-Chakan, A., Hossaini, S. M. T., Scholten, T., 2024. High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran. Geoderma Regional, 36, e00754. doi: 10.1016/j.geodrs.2024.e00754

Zamanian, K., Taghizadeh, R., Tao, J., Fan, L., Raza, S., Guggenberger, G., Kuzyakov, Y., 2024. Acidification of European croplands by nitrogen fertilization: Consequences for carbonate losses, and soil health. In: Science of The Total Environment, 171631. doi: 10.1016/j.scitotenv.2024.171631

Lotfollahi, L., Delavar, M.A., Biswas, A., Jamshidi, M., Fatehi, S., Taghizadeh, R., 2023. Spatial prediction and uncertainty estimation of crucial GlobalSoilMap properties-A contextual study in the semi-arid area of western Iran. Geoderma Regional, e00713. doi: 10.1016/j.geodrs.2023.e00713

Bouasria, A., Bouslihim, Y., Gupta, S., Taghizadeh, R., Hengl, T., 2023. Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents. Ecological Informatics, 78,102294. doi: 10.1016/j.ecoinf.2023.102294

Taghizadeh, R., Zeraatpisheh, M., Amirian Chakan, A., Scholten, T. 2023. A Brief Review of Digital Soil Mapping in Iran. In: Melesse, A.M., Rahamati, O. und Khsoravi, R. (Hrsg.): Remote Sensing of Soil and Land Surface Processes. Amsterdam.

Taghizadeh, R., Zeraatpisheh, M., Amirian, A., Scholten, T. 2023. A Brief Review of Digital Soil Mapping in Iran. In: Remote Sensing of Soil and Land Surface Processes Publisher: Elsevier

Bogaert, P., Taghizadeh, R., Hamzehpour, N., 2023. Model averaging of machine learning algorithms for digital soil mapping: A minimum variance framework. Geoderma, 437, 116604. doi: 10.1016/j.geoderma.2023.116604

Webber, C. L., Bremer, U. F., Taghizadeh, R., Weber, B., Rosa, A., Scholten, T., Seitz, S. 2023. Biological soil crusts as a major ecosystem component in sandization areas of the Brazilian Pampa. In: Geoderma Regional, e00682. doi: 10.1016/j.geodrs.2023.e00682

Ghotbi, M., Taghizadeh, R., Knief, C., Ghotbi, M., Horwath, W.R. 2023. The Patchiness of Soil 13c Versus the Uniformity of 15n Distribution with Geomorphic Position Provides Evidence of Erosion and Accelerated Organic Matter Turnover. Agriculture, Ecosystems, and Environment 356, 108616. doi: 10.1016/j.agee.2023.108616

Mousavi, A., Karimi, A., Maleki, S., Safari, T., Taghizadeh, R. 2023. Digital mapping of selected soil properties using machine learning and geostatistical techniques in Mashhad plain, northeastern Iran. In: Environmental, 82, 234

Lotfollahi, L., Delavar, A., Biswas, A., Jamshidi, M., Taghizadeh, R. 2023. Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques. Environmental Monitoring and Assessment, 195, 607

Broeg, T., Blaschek, M., Seitz, S., Taghizadeh, R., Zepp, S., Scholten, T., 2023. Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils. Remote Sensing, 15, 876. doi: 10.3390/rs15040876

Taghizadeh, R., Sheikhpour, R., Zeraatpisheh, M., Amirian-Chakan, A., Toomanian, N., Kerry, R., & Scholten, T. 2022. Semi-supervised learning for the spatial extrapolation of soil information. Geoderma, 426, 116094. doi: 10.1016/j.geoderma.2022.116094

Taghizadeh, R., Hamzehpour, N., Hassanzadeh, M., Heung, B., Ghebleh Goydaragh, M., Schmidt, K., & Scholten, T. 2021. Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping. Geoderma, 399, 115108. doi: 10.1016/j.geoderma.2021.115108

Taghizadeh, R., Mahdianpari, M., Mohammadimanesh, F., Behrens, T., Toomanian, N., Scholten, T., Schmidt, K. 2020. Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran. Geoderma 376, 114552. doi: 10.1016/j.geoderma.2020.114552

Taghizadeh, R., Nabiollahi, K., Minasny, B., Triantafilis, J. 2015. Comparing data mining classifiers to predict spatial distribution of USDA–family soil groups in Baneh region, Iran. Geoderma, 253: 67 – 77. doi: 10.1016/j.geoderma.2015.04.008

Taghizadeh, R., Minasny, B., Sarmadian, F., Malone, B.P. 2014. Digital mapping of soil salinity in Ardakan region, central Iran. Geoderma, 213:15 – 28. doi: 10.1016/j.geoderma.2013.07.020

Wang, N., Chen, S., Huang, J., Frappart, F., Taghizadeh, R., Zhang, X., Wigneron, J.-P., Xue, J., Xiao, Y., Peng, J. and Shi, Z. (2024). Global Soil Salinity Estimation at 10 m Using Multi-source Remote Sensing. Journal of Remote Sensing, 0130. doi: 10.34133/remotesensing.0130

Taghizadeh, R., Nabiollahi, K., Kebonye, N. M., Kakhani, N., Ghebleh-Goydaragh, M., Heung, B., Amirian-Chakan, A., Hossaini, S. M. T., Scholten, T., 2024. High-performance soil class delineation via UMAP coupled with machine learning in Kurdistan Province, Iran. In: Geoderma Regional, 36, e00754. doi: 10.1016/j.geodrs.2024.e00754

Zamanian, K., Taghizadeh, R., Tao, J., Fan, L., Raza, S., Guggenberger, G., Kuzyakov, Y., 2024. Acidification of European croplands by nitrogen fertilization: Consequences for carbonate losses, and soil health. In: Science of The Total Environment, 171631. doi: 10.1016/j.scitotenv.2024.171631

Lotfollahi, L., Delavar, M.A., Biswas, A., Jamshidi, M., Fatehi, S., Taghizadeh, R., 2023. Spatial prediction and uncertainty estimation of crucial GlobalSoilMap properties-A contextual study in the semi-arid area of western Iran. Geoderma Regional, e00713. doi: 10.1016/j.geodrs.2023.e00713

Bouasria, A., Bouslihim, Y., Gupta, S., Taghizadeh, R., Hengl, T., 2023. Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents. Ecological Informatics, 78,102294. doi: 10.1016/j.ecoinf.2023.102294

Taghizadeh, R., Zeraatpisheh, M., Amirian Chakan, A., Scholten, T. 2023. A Brief Review of Digital Soil Mapping in Iran. In: Melesse, A.M., Rahamati, O. und Khsoravi, R. (Hrsg.): Remote Sensing of Soil and Land Surface Processes. Amsterdam.

Bogaert, P., Taghizadeh, R., Hamzehpour, N., 2023. Model averaging of machine learning algorithms for digital soil mapping: A minimum variance framework. Geoderma, 437, 116604. doi: 10.1016/j.geoderma.2023.116604

Webber, C. L., Bremer, U. F., Taghizadeh, R., Weber, B., Rosa, A., Scholten, T., Seitz, S. 2023- Biological soil crusts as a major ecosystem component in sandization areas of the Brazilian Pampa. In: Geoderma Regional, e00682. doi: 10.1016/j.geodrs.2023.e00682

Ghotbi, M., Taghizadeh, R., Knief, C., Ghotbi, M., Horwath, W.R. 2023. The Patchiness of Soil 13c Versus the Uniformity of 15n Distribution with Geomorphic Position Provides Evidence of Erosion and Accelerated Organic Matter Turnover. Agriculture, Ecosystems, and Environment 356, 108616. doi: 10.1016/j.agee.2023.108616

Mousavi, A., Karimi, A., Maleki, S., Safari, T., Taghizadeh, R. 2023. Digital mapping of selected soil properties using machine learning and geostatistical techniques in Mashhad plain, northeastern Iran. In: Environmental, 82, 234.

Lotfollahi, L., Delavar, A., Biswas, A., Jamshidi, M., Taghizadeh, R. 2023. Modeling the spatial variation of calcium carbonate equivalent to depth using machine learning techniques. Environmental Monitoring and Assessment, 195, 607.

Broeg, T., Blaschek, M., Seitz, S., Taghizadeh, R., Zepp, S., Scholten, T., 2023. Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils. Remote Sensing, 15, 876. doi: 10.3390/rs15040876

Maleki R, Karimi, A., Mousavi, A., Kerry, R., Taghizadeh, R., 2023. Delineation of Soil Management Zone Maps at the Regional Scale Using Machine Learning. Agronomy, 13, 445. doi: 10.3390/agronomy13020445

Zolfaghari Nia, M., Moradi, M., Moradi, G., Taghizadeh, R., 2023. Machine Learning Models for Prediction of Soil Properties in the Riparian Forests. In: Land, Jg. 12, H. 1, S. 32. doi: 10.3390/land12010032

Shahabi, A., Nabiollahi, K., Davari, M., Zeraatpisheh, M., Heung, B., Scholten, T., Taghizadeh, R., 2022. Spatial prediction of soil properties through hybridized random forest model and combination of reflectance spectroscopy and environmental covariates. Geocarto International, pp.1-24. doi: 10.1080/10106049.2022.2138565

Mallah, S., Delsouz Khaki, B., Davatgar, N., Scholten, T., Amirian-Chakan, A., Emadi, M., Kerry, R., Mosavi, A.H., Taghizadeh, R., 2022. Predicting Soil Textural Classes Using Random Forest Models: Learning from Imbalanced Dataset. Agronomy, 12(11), p.2613. doi: 10.3390/agronomy12112613

Sohrabizadeh, Z., Sodaeizadeh, H., Hakimzadeh, M.A., Taghizadeh, R., Ghanei Bafghi, M.J., 2022 A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran. Geoscience Data Journal. doi: 10.1002/gdj3.175

Taghizadeh, R., Sheikhpour, R., Zeraatpisheh, M., Amirian-Chakan, A., Toomanian, N., Kerry, R., Scholten, T. 2022. Semi-supervised learning for the spatial extrapolation of soil information. Geoderma, 426, 116094. doi: 10.1016/j.geoderma.2022.116094

Cheshmberah, F., Zolfaghari, A., Taghizadeh, R., Scholten, T. 2022. Evaluation of mathematical models for predicting particle size distribution using digital soil mapping in semiarid agricultural lands. Geocarto International. doi: 10.1080/10106049.2022.2076911.

Shirzadi, A., Shahabi, H., Nabiollahi, K., Taghizadeh, R., Lizaga, L., Clague, J., Singh, S., Golmohamadi, F., Ahmad, A. 2022. Towards Robust Smart Data-Driven Soil Erodibility Index Prediction under Different Scenarios. Geocarto International. doi: 10.1080/10106049.2022.2076918.

Taghipour, K., Heydari, M., Kooch, Y., Fathizad, H., Heung, B., Taghizadeh, R. 2022. Assessing changes in soil quality between protected and degraded forests using digital soil mapping for semiarid oak forests, Iran. Catena, 213, 106204. doi: 10.1016/j.catena.2022.106204

Fathizad, H., Taghizadeh, R., Hakimzadeh, M., Zeraatpisheh, M., Heung, B., Scholten, T. 2022. Spatiotemporal Assessment of Soil Organic Carbon Change Using Machine-Learning in Arid Regions. Agronomy, 12(3), 628. doi: 10.3390/agronomy12030628

Taghizadeh, R., Khademi, H., Khayamim, F., Zaraatpisheh, M., Heung, B., Scholten, T. 2022. A comparison of model averaging techniques to predict the spatial distribution of soil properties. Remote Sensing, 14, 472, doi: 10.3390/rs14030472

Emami, S., Alikhani, A., Pourbabi, A., Eatesami, H., Sarmadian, F., Motesharezadeh, B., Taghizadeh, R. 2022. Performance evaluation of phosphate-solubilizing fluorescent pseudomonads in minimizing phosphorus fertilizer use and improving wheat productivity: A two-year field study. Journal of Soil Science and Plant Nutrition. doi: 10.1007/s42729-021-00726-3

Zeraatpisheh, M., Bottega, E., Bakhshandeh, E., Owliaie, H., Taghizadeh, R., Kerry, R., Scholten, T., Xu, M. 2022. Spatial variability of soil quality within management zones: Homogeneity and purity of delineated zones. Catena, 209, 105835, doi: 10.1016/j.catena.2021.105835

Zeraatpisheh, M., Garosi, Y., Owliaie, H., Ayoubi, S., Taghizadeh, R., Scholten, T., Xu, M. 2022. Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates. Catena, 208, 105723, doi: 10.1016/j.catena.2021.105723

Taghizadeh, R., Schmidt, K., Toomanian, N., Heung, B., Behrens, T., Mosavi, A., S. Band, S., Amirian-Chakan, A., Fathabadi, A., Scholten, T. (2021): Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models. In: Geoderma, Jg. 383, S. 114793. doi: 10.1016/j.geoderma.2020.114793

Rostaminia, M., Rahmani, A., Mousavi, S., Taghizadeh, R., Maghsodi, Z. 2021. Spatial prediction of soil organic carbon stocks in arid rangeland using machine learning algorithms. Environmental Monitoring and Assessment, 193, 815, doi: 10.1007/s10661-021-09543-8

Morsy, M., Taghizadeh, R., Michaelides, S., Scholten, T., Dietrich, P., Schmidt, K. 2021. Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data. Remote Sensing, 13, 4243. doi: 10.3390/rs13214243

Ebrahimi, Z., Taghizadeh, R., Roustaei, F., Ebrahimi, M., Mosavi, A., Heung, B., Scholten, T. 2021. Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining algorithms and game theory. Ecological Indicators, 132, 108287. doi: 10.1016/j.ecolind.2021.108287

Asadi, M., Fathzadeh, A., Kerry, R., Ebrahimi, Z., Taghizadeh, R., 2021. Prediction of river suspended sediment load using machine learning models and geo-morphometric parameters. Arabian Journal of Geosciences, 14(18), 1-14. doi: 10.1007/s12517-021-07922-6

Mahmoudzadeh, M., Matinfar, M., Kerry, R., Ebrahimi, Z., Taghizadeh, R. 2021. New hybrid evolutionary models for spatial prediction of soil properties in Kurdistan. Soil Use and Management. doi: 10.1111/sum.12753

Ghebleh, M., Taghizadeh, R., Golchin, A., Jafarzadeh, A., Lado, M. 2021. Predicting weathering indices in soils using FTIR spectra and random forest models. Catena, 204, 105437. doi: 10.1016/j.catena.2021.105437

Taghizadeh, R., Fathizad, H., Hakimzadeh, A., Mohammad, S., Hamid, Kerry, R., Heung, B., Scholten, T. 2021. Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment Scale Using Digital Soil Assessment and a Random Forest Model. Remote Sensing, 13, no. 9: 1698. doi: 10.3390/rs13091698

Ebrahimi, Z., Taghizadeh, R., Kazemi, M., Nafarzadegan, AR. 2021. Predicting the Ground-Level Pollutants Concentrations and Identifying the influencing Factors Using Machine Learning, Wavelet Transformation, and Remote Sensing Techniques. Atmospheric Pollution Research. doi: 10.1016/j.apr.2021.101064

Taghizadeh, R., Hamzehpour, N., Hassanzadeh, M., Heung, B., Ghebleh, M., Schmidt, K., Scholten, T. 2021. Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping. Geoderma 399, 115108. doi: 10.1016/j.geoderma.2021.115108

Nabiollahi, K., Shahlaee, S., Zahedi, S., Taghizadeh, R., Kerry, R., Scholten, T. 2021. Land Use and Soil Organic Carbon Stocks—Change Detection over Time Using Digital Soil Assessment: A Case Study from Kamyaran Region, Iran (1988–2018). Agronomy 11, no. 3: 597. doi: 10.3390/agronomy11030597

Ghebleh, M., Taghizadeh, R., Jafarzadeha, A.A., Triantafilis, J., Ladoe, M. 2021. Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon. Catena. 202, 105280. doi: 10.1016/j.catena.2021.105280

Taghizadeh, R., Emadi, M., Cherati, A., Heung, B., Mosavi, A., Scholten, T. 2021. Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions. Remote Sensing. 13(5):1025. doi: 10.3390/rs13051025

Namdar, D., Goudarzi, G.R., Taghizadeh, R., Asumadu, A., Fehresti, M. 2021. Long-term effects of outdoor air pollution on mortality and morbidity–prediction using nonlinear autoregressive and artificial neural networks models. Atmospheric Pollution Research 12, S. 46-56. doi: 10.1016/j.apr.2020.10.007

Ibrahimpour, S., Khavaninzadeh, A., Taghizadeh, R., De Boeck, H., Gul, A., 2021. Dust-related impacts of mining operations on rangeland vegetation and soil: a case study in Yazd province, Iran. Environmental Earth Sciences, 80: 467. doi: 10.1007/s12665-021-09758-5

Ebrahimi, Z., Taghizadeh, R., Mirakbari, M. 2021. Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran. Atmospheric Pollution Research. doi: 10.1016/j.apr.2020.08.029

Abedi, F., Amirian, A., Faraji, M, Taghizadeh, R., Kerry, R., Razmjoue, D., Scholten, T. 2021. Salt dome induced soil salinity in southern Iran –prediction and mapping with averaging machine learning models. Land Degradation and Development.  doi: 10.1002/ldr.3811

Ebrahimi, Z., Taghizadeh, R., Nafarzadegan, A.R. 2021. Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions. Environmental Science and Pollution Research, 28, 6, 6796–6810. doi: 10.1007/s11356-020-10957-z

Soltani, S., Taghizadeh, R., Kerry, R., Shirmardi, M. 2021. Effect of interceptor drainage on phosphorus transport and soil chemical characteristics under different cultivation conditions. Paddy and Water Environment. doi: 10.1007/s10333-021-00856-5

Richer-de-Forges, A. C., Lowe, D. J., Minasny, B., Adamo, P., Amato, M., Ceddia, M. B., dos Anjos, L. H., Chang, S. X., Chen, S., Chen, Z.-S., Feller, C., García-Rodeja, E., Goulet, R.-C., Hseu, Z.-Y., Karklins, A., Kim, H. S., Leenaars, J. G., Levin, M. J., Liu, X.-N., Maejima, Y., Mantel, S., Martín Peinado, F. J., Martínez Garzón, F. J., Mataix-Solera, J., Nikodemus, O., Ortega, C., Ortiz-Bernad, I., Pedron, F. A., Pinheiro, E. F. M., Reintam, E., Roudier, P., Rozanov, A. B., Sánchez Espinosa, J. A., Savin, I., Shalaby, M., Sujatha, M. P., Sulaeman, Y., Taghizadeh, R., Tran, T. M., Valle, M. Y., Yang, J. E., Arrouays, D. 2021. A review of the world's soil museums and exhibitions. Advances in Agronomy. doi: 10.1016/bs.agron.2020.10.003

Poppiel, R. R., Demattê, J. A. M., Rosin, N. A., Campos, L. R., Tayebi, M., Bonfatti, B. R., Ayoubi, S., Tajik, S., Afshar, F. A., Jafari, A., Hamzehpour, N., Taghizadeh, R., Ostovari, Y., Asgari, N., Naimi, S., Nabiollahi, K., Fathizad, H., Zeraatpisheh, M., Javaheri, F., Doustaky, M., Naderi, M., Dehghani, S., Atash, S., Farshadirad, A., Mirzaee, S., Shahriari, A., Ghorbani, M., Rahmati, M. 2021. High resolution middle eastern soil attributes mapping via open data and cloud computing. In: Geoderma, Jg. 385, S. 114890. doi: 10.1016/j.geoderma.2020.114890

Nabiollahi, K., Taghizadeh, R., Shahabi, A., Heung, B., Amirian, A, Davari, M., Scholten, T. 2021. Assessing agricultural salt-affected land using digital soil mapping and hybridized random forests. Geoderma, 385, 114858. doi: 10.1016/j.geoderma.2020.114858

Taghizadeh, R., Schmidt, K., Toomanian, N., Heung, B., Behrens, T., Mosavi, A., Band, S., Amirian, A., Fathabadi, A., Scholten, T. 2021. Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models. Geoderma.  doi: 10.1016/j.geoderma.2020.114793

Ebrahimi, Z., Mirakbari, M., Ebrahimi, M., Taghizadeh, R. 2020. Impacts of vegetation anomalies and agricultural drought on wind erosion over Iran from 2000 to 2018. Applied Geography, 125, 102330. doi: 10.1016/j.apgeog.2020.102330

Nabiollahi, K., Eskandari, H., Mosavi, A., Kerry, R., Zeraatpisheh, M., Taghizadeh, R. 2020. Assessing the influence of soil quality on rainfed wheat production. Agriculture. doi: 10.3390/agriculture10100469

Seifi, M., Ahmadi, A., Neyshabouri, MR, Taghizadeh, R., Bahrami, HR. 2020. Remote and Vis-NIR spectra sensing potential for soil salinization estimation in the eastern coast of Urmia hypersaline Lake, Iran. Remote Sensing Applications: Society and Environment. doi: 10.1016/j.rsase.2020.100398

Fathizad, H, Hakimzadehm, MA., Heung, B., Sodaiezadehm, H., Rahmani, A., Fathabadi, A., Scholten, T., Taghizadeh, R. 2020. Spatio-temporal dynamic of soil quality in the Central Iranian desert modeled with Machine Learning and Digital Soil Assessment techniques. Ecological Indicator 118, 2234. doi: 10.1016/j.ecolind.2020.106736

Emadi, M., Taghizadeh, R., Cherati, A., Danesh, M., Mosavi, A., Sholten, T. 2020. Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran. Remote Sensing 12, 2234. doi: 10.3390/rs12142234

Taghizadeh, R., Mahdianpari, M., Mohammadimanesh, F., Behrens, T., Toomanian, N., Scholten, T., Schmidt, K. 2020. Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran. Geoderma 376, 114552. doi: 10.1016/j.geoderma.2020.114552

Zolfaghari, A., Abolkheiryan, M., Soltani, A., Taghizadeh, R., Weldeyohannes, A. 2020. Prediction of soil macronutrients using fractal parameters and artificial intelligence methods. Spanish Journal of Agricultural Research 18, doi: 10.5424/sjar/2020182-15460

Taghizadeh, R., Nabiollahi, K., Rasouli, L., Kerry, R., Scholten, T. 2020. Land Suitability Assessment and Agricultural Production Sustainability Using Machine Learning Models. Agronomy 10, 573. doi: 10.3390/agronomy10040573

Taghizadeh, R., Schmidt, K., Amirian, A., Rentschler, T., Zeraatpisheh, M., Sarmadian, F., Valavi, R., Davatgar, N., Behrens, T., Scholten, T. 2020. Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space. Remote Sensing 12(7), 1095. doi: 10.3390/rs12071095

Mahmoudzadeh, H., Matinfar, HR., Taghizadeh, R., Kerry, R. 2020. Spatial prediction of soil organic carbon using machine learning techniques in western Iran. Geoderma Regional. doi: 10.1016/j.geodrs.2020.e00260

Fathizad, H., Hakimzadeh, MA., Sodaiezadeh, HR., Kerry, R., Taghizadeh, R. 2020. Spatial and temporal variation of soil salinity using random forest in central desert of Iran. Geoderma, doi: 10.1016/j.geoderma.2020.114233

Zeraatpisheh, M., Jafari, A., Bagheri, M., Ayoubi, S., Taghizadeh, R., Toomanian, N., Kerry, R., Xu, M. 2020. Conventional and Digital Soil Mapping in Iran: Past, Present, and Future. Catena, 188, 104424. doi: 10.1016/j.catena.2019.104424

Jamshidi, M., Delavar, M., Taghizadeh, R., Brungard, C. 2019. Disaggregation of conventional soil map by generating multi realizations of soil class distribution (case study: Saadat Shahr plain, Iran). Environmental Monitoring and Assessment, 191, 769. doi: 10.1007/s10661-019-7942-x

Avazpoor, Z., Moradi, M., Basiri, R., Mirzaei, J., Taghizadeh, R., Kerry, R. 2019. Soil enzyme activity variations in riparian forests in relation to plant species and soil depth. Arabian Journal of Geosciences. doi: 10.1007/s12517-019-4910-2

Mehrabi, E., Matinfar, H.R., Jafari, A., Taghizadeh, R., Triantafilis, J. 2019. The Spatial Prediction of Soil Texture Fractions in Arid Regions of Iran. Soil Systems 3, 65.  doi: 10.3390/soilsystems3040065

Taghizadeh, R., Schmidt, K., Eftekhari, K., Behrens, T., Jamshidi, M., Davatgaar, N., Toomanian, N., Scholten, T. 2019. Synthetic resampling strategies and machine learning for digital soil mapping in Iran. European Journal of Soil Science. doi: 10.1111/ejss.12893

Taghizadeh, R., Bawa, A., Kumar, S., Zeraatpisheh, M., Amirian, A., Akbarzadeh, A. 2019. Soil Erosion Spatial Prediction using Digital Soil Mapping and RUSLE methods for Big Sioux River Watershed. Soil Systems, 3 (3), 43. doi: 10.3390/soilsystems3030043

Amirian, A., Minasny, B., Taghizadeh, R., Akbarifazli, R., Darvishpasand, Z., Khordehbin, S. 2019. Some practical aspects of predicting texture data in digital soil mapping.  Soil and Tillage Research, 194, 104289. doi: 10.1016/j.still.2019.06.006

Taghizadeh, R., Minasny, B., Toomanian, N., Zeraatpisheh, M., Amirian, A., Triantafilis, J. 2019. Digital Mapping of Soil Classes using Ensemble of Models in Isfahan Region, Iran. Soil Systems, 3 (2), 37. doi: 10.3390/soilsystems3020037

Ghebbleh, M, Jafarzadeh, A., Shahbazi, F., Oustan, S., Taghizadeh, R., Lado, M. 2019. Estimation of elemental composition of agricultural soils from West Azerbaijan, Iran, using mid-infrared spectral models. Revista Brasileira de Engenharia Agrícola e Ambiental. 23: 460 – 466. doi: 10.1590/1807-1929/agriambi.v23n6p460-466

Nabiollahi, K., Eskandari, S., Taghizadeh, R., Kerry, R., Triantafilis, J. 2019. Assessing soil organic carbon stocks under land uses change scenarios using random forest models. Carbon Management, 10: 63 – 77. doi: 10.1080/17583004.2018.1553434

Rahmati, O., Kornejady, A., Samadi, M., Deo, R.C., Conoscenti, C., Lombardo, L., Dayal, K., Taghizadeh, R., Pourghasemi, H.R., Kumar, S. and Bui, D.T., 2019. PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches. Science of The Total Environment 664, 296 – 311. doi: 10.1016/j.scitotenv.2019.02.017

Nabiollahi, K., Golmohamadi, F., Taghizadeh, R., Kerry, R., Davari, M. 2018. Assessing the effect of slope gradient and land use change on soil quality degradation through digital mapping of soil quality indices and soil loss rate. Geoderma, 318: 16 – 28. doi: 10.1016/j.geoderma.2017.12.024

Nabiollahi, K., Taghizadeh, R., Eskandari. S. 2018. Assessing and monitoring the soil quality of forested and agricultural areas using soil–quality indices and digital soil–mapping in a semi–arid environment. Archives of Agronomy and Soil Science, 64: 696 – 707. doi: 10.1080/03650340.2017.1373188

Javedan, M., Riyahi, A., Mohammadi, J., Taghizadeh, R. 2018. Distribution of linear Alkylbenzenes as a domestic sewage molecular marker in surface sediments of international Anzali Wetland in the Southwest of the Caspian Sea, Iran. Environmental Science and Pollution Research, 25: 20920–20929. doi: 10.1007/s11356-018-1942-1

Amin, P., Taghizadeh, R., Akbarzadeh, A., Shirmardi, M. 2018. Comparison of data mining techniques to predict and map the Atterberg limits in central plateau of Iran. Polish Journal of Soil Science, 51: 185 – 204. doi: 10.17951/pjss.2018.51.2.185

Rahmati, M., Weihermüller, L., Vanderborght, J., Pachepsky, Y.A., Mao, L., Sadeghi, S.H., Moosavi, N., Kheirfam, H., Montzka, C., Van Looy, K. and Toth, B., …., Taghizadeh, R., Vereecken, H. 2018. Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data, 10: 1237 – 1263. doi: 10.5194/essd-10-1237-2018

Fathizad, H., Hakimzadeh, M.A., Sodaiezadeh, H., Taghizadeh, R. 2018. Evaluating desertification using remote sensing technique and object–oriented classification algorithm in the Iranian central desert. Journal of African Earth Sciences, 145: 115 – 130. doi: 10.1016/j.jafrearsci.2018.04.012

Taghizadeh, R., Neupane, R., Sood, K., Kumar, S. 2017. Artificial bee colony feature selection algorithm combined with machine learning algorithms to predict vertical and lateral distribution of soil organic matter in South Dakota, USA. Carbon Management, 8: 277 – 291. doi: 10.1080/17583004.2017.1330593

Nabiollahi, K., Taghizadeh, R., Kerry, R., Moradian, S. 2017. Assessment of soil quality indices for salt–affected agricultural land in Kurdistan Province, Iran. Ecological Indicators, 83: 482 – 494. doi: 10.1016/j.ecolind.2017.08.001

Bemanikharanagh, A., Riyahi, A., Mohammadi, J., Taghizadeh, R. 2017. Characterization and ecological risk of polycyclic aromatic hydrocarbons (PAHs) and n–alkanes in sediments of Shadegan international wetland, the Persian Gulf. Marine Pollution Bulletin, 124: 155 – 170. doi: 10.1016/j.marpolbul.2017.07.015

Amirian, A., Taghizadeh, R., Kerry, R., Kumar, S., Khordehbin, S., Yusefi, S. 2017. Spatial 3D distribution of soil organic carbon under different land use types. Environmental Monitoring and Assessment, 189: 131. doi: 10.1007/s10661-017-5830-9

Fathzadeh, A., Jaydari, A., Taghizadeh, R. 2017. Comparison of different methods for reconstruction of instantaneous peak flow data. Intelligent Automation and Soft Computing, 23: 41 – 49. doi: 10.1080/10798587.2015.1120991

Taghizadeh, R., Nabiollahi, K., Kerry, R. 2016. Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran. Geoderma, 266: 98 – 110. doi: 10.1016/j.geoderma.2015.12.003

Taghizadeh, R., Toomanian, N., Khavaninzadeh, A.R., Jafari, A., Triantafilis, J. 2016. Predicting and mapping of soil particle–size fractions with adaptive neuro–fuzzy inference and ant colony optimization in central Iran. European Journal of Soil Science, 67: 707 – 725. doi: 10.1111/ejss.12382

Taghizadeh, R., Ayoubi, S., Namazi, Z., Malone, B.P., Zolfaghari, A.A., Roustaiee, F. 2016. Prediction of soil surface salinity in arid region of central Iran using auxiliary variables and genetic programming. Arid Land Research and Management, 30: 49 – 64. doi: 10.1080/15324982.2015.1046092

Taghizadeh, R. 2016. Digital mapping of cation exchange capacity using genetic programming and soil depth functions in Baneh region, Iran. Archives of Agronomy and Soil Science, 62: 109 – 126. doi: 10.1080/03650340.2015.1038253

Zolfaghari, A.A., Taghizadeh, R., Moshki, A.R., Malone, B.P., Weldeyohannes, A.O., Sarmadian, F., Yazdani, M.R. 2016. Using the nonparametric k–Nearest Neighbor approach for predicting cation exchange capacity. Geoderma, 265: 111 – 119. doi: 10.1016/j.geoderma.2015.11.012

Moghadas, D., Taghizadeh, R., Triantafilis, J. 2016. Probabilistic inversion of EM38 data for 3D soil mapping in central Iran. Geoderma Regional, 7: 230 – 238. doi: 10.1016/j.geodrs.2016.04.006

Akbarzadeh, A., Ghorbani, S., Naderi, M., Kerry, R., Taghizadeh, R. 2016. Monitoring and assessment of soil erosion at micro–scale and macro–scale in forests affected by fire damage in northern Iran. Environmental Monitoring and Assessment, 188: 699. doi: 10.1007/s10661-016-5712-6

Fathzadeh, A., Gharayi, S., Taghizadeh, R. 2016. Comparison of Artificial Neural Network and Decision Tree Models in Estimating Spatial Distribution of Snow Depth in a Semi–Arid Region of Iran. Cold Regions Science and Technology, 122: 26 – 35. doi: 10.1016/j.coldregions.2015.11.004

Zolfaghari, A.A., Taghizadeh, R., Asadzadeh, F., Hajabbasi, M.A. 2016. Soil structure changes due to different land–use practices in the central Zagruos region, Iran. Archives of Agronomy and Soil Science, 62:163 – 175. doi: 10.1080/03650340.2015.1043898

Taghizadeh, R., Nabiollahi, K., Minasny, B., Triantafilis, J. 2015. Comparing data mining classifiers to predict spatial distribution of USDA–family soil groups in Baneh region, Iran. Geoderma, 253: 67 – 77. doi: 10.1016/j.geoderma.2015.04.008

Huang, J., Taghizadeh, R., Minasny, B., Triantafilis, J. 2015. Modeling Soil Salinity along a Hillslope in Iran by Inversion of EM38 Data. Soil Science Society of America Journal, 79: 1142 – 1153. doi: 10.2136/sssaj2014.11.0447

Goodarzian, M., Mansurifar, S., Taghizadeh, R., Saeidi, M., Jamshidi, A.M., Ghasemi, E. 2015. Effects of drought stress and rewatering on antioxidant systems and relative water content in different growth stages of maize (Zea maysL.) hybrids. Archives of Agronomy and Soil Science, 61: 493 – 506. doi: 10.1080/03650340.2014.943198

Taghizadeh, R., Minasny, B., Sarmadian, F., Malone, B.P. 2014. Digital mapping of soil salinity in Ardakan region, central Iran. Geoderma, 213:15 – 28. doi: 10.1016/j.geoderma.2013.07.020

Taghizadeh, R., Sarmadian, F., Minasny, B., Triantafilis, J., Omid, M. 2014. Digital Mapping of Soil Classes Using Decision Tree and Auxiliary Data in the Ardakan Region, Iran. Arid Land Research and Management, 28:147 – 168. doi: 10.1080/15324982.2013.828801

Taghizadeh, R., Akbarzadeh, A. 2014. Soil physico–chemical, mineralogical, and micromorphological changes due to desertification processes in Yazd region, Iran. Archives of Agronomy and Soil Science, 60: 487 – 505. doi: 10.1080/03650340.2013.817666

Ghanbarian, B., Taghizadeh, R., Huang, G. 2012. Estimating Mass Fractal Dimension of Soil Using Artificial Neural Networks for Improved Prediction of Water Retention Curve. Soil Science, 177: 471 – 479. doi: 10.1097/SS.0b013e318266e99f

Taghizadeh, R., Mahmoodi, S., Heidari, A., Akbarzadeh, A. 2009. Micromorphological evidences of climatic change in Yazd region, Iran. Journal of Mountain Science, 6:162 – 172. doi: 10.1007/s11629-009-1033-3

Akbarzadeh, A., Taghizadeh, R., Refahi, H.G., Rouhipour, H., Gorji, M. 2009. Using soil binders to control runoff and soil loss in steep slopes under simulated rainfall. International Agrophysics, 23: 99 – 109.

Maleki,  S., Fathizad, H., Karimi, A., Taghizadeh, R., Pourghasemi, HR. 2022. Monitoring of spatiotemporal changes of soil salinity and alkalinity in eastern and central parts of Iran, Editor(s): Pourghasemi, HR., Computers in Earth and Environmental Sciences, Elsevier, 547-561. doi: 10.1016/B978-0-323-89861-4.00011-7.

Taghizadeh, R., Minasny, B., McBratney, A.B., Triantafilis, J., Sarmadian, F., Toomanian, N. 2012. Digital soil mapping of soil classes using decision trees in central Iran. Digital Soil Assessments and Beyond, Edited by B. Minasny, B.P. Malone, A.B. McBratney, 07/2012: pages 197 – 202; Taylor & Francis Group., ISBN: 978-0-415-62155-7. doi: 10.1201/b12728-40

Taghizadeh, R., Heuvelink, G., Scholten, T. 2023. Quantification of uncertainty using artificial neural networks for mapping of soil properties in Germany. EGU General Assembly Conference Abstracts. [vPICO]

Taghizadeh, R., Kebonye, N., Kakhani, N., Scholten, T. 2023. Spatial extrapolation of soil information in different environmental conditions. Soil Mapping for a Sustainable Future. [Talk]

Taghizadeh, R., Rentschler, T., Schmidt, K., Cheshmberah, F., Scholten, T. 2022. Improving the spatial prediction of soil texture fractions using semi-supervised machine learning in Germany. Jahrestagung der Deutschen Bodenkundlichen Gesellschaft 2022, Trier, Germany. [Talk] 

Taghizadeh, R., Scholten, T. 2022. Explainable deep neural networks for exploring spatial variability of soil properties in Germany. EGU. [Talk]
Taghizadeh, R., Scholten, T. 2022. Semi-supervised learning for predicting soil properties at a national scale of Germany. 22nd World Congress of Soil Science. [Talk]

Taghizadeh, R., Sheikhpour, R., Toomanian, N., Scholten, T., 2021. Semi-supervised learning for increasing transferability of machine learning in digital soil mapping. Conference: 3rd ISMC Conference ─ Advances in Modeling Soil Systems [vTalk]

Taghizadeh, R., Hamzehpour, N., Hassanzadeh, M, Schmidt, K., Scholten, T., 2021. Enhancing accuracy and interpretability of machine learning models using super learning and permutation feature importance techniques in digital soil mapping. EGU21-9382. [vPICO]

Michaelides, S., Morsy, M., Taghizadeh, R., Scholten, T., Dietrich, P., Schmidt K. 2021. EGU21-9382. [vPICO]

Taghizadeh, R., Toomanian, N., Shamshirband, S., Mosavi, A., Behrens, T., Schmidt, K., Scholten, T. (2020): Predicting and mapping of soil salinity using machine learning algorithms in central arid regions of Iran. EGU General Assembly Conference Abstracts. doi: 10.5194/egusphere-egu2020-18516 [talk]

Zeraatpisheh, M., Mirzaei, R., Garosi, Y., Xu, M., Heuvelink, G.B.M., Scholten, T., Taghizadeh, R. (2020): Feasibility of using environmental covariates and machine learning to predict the spatial variability of selected heavy metals in soils. EGU General Assembly Conference Abstracts. doi: 10.5194/egusphere-egu2020-12378 [talk]

Taghizadeh, R. 2019. Digital mapping of soil functions using machine learning methods in Iran. 9th Bonn Humboldt Award Winners’ Forum “Frontiers in Biogeography, Ecology, Anthropology, and Evolution". [poster]

Taghizadeh, R., Schmidt, K., Nabiollahi, K., Rasoli, L., Scholten, T. (2019): Machine learning and land suitability assessment for irrigated wheat crop in Kurdistan, Iran. Jahrestagung der Deutschen Bodenkundlichen Gesellschaft 2019, Kommission V /Digital Soil Mapping, 25. – 28. August 2019, Bern, Schweiz. [poster]

Schmidt, K., Behrens, T., Scholten, T., Taghizadeh, R. (2019): Synthetische Stichprobenverfahren in der bodenkundlichen Modellierung. Jahrestagung der Deutschen Bodenkundlichen Gesellschaft 2019, Kommission V /Digital Soil Mapping, 25. – 28. August 2019, Bern, Schweiz. [talk]

Taghizadeh, R., Schmidt, K., Behrens, T., Scholten, T. (2019): Multi-task convolutional neural networks for predicting the spatial distribution of soil texture fractions in Isfahan province, Iran. Workshop der AG DSM der Deutschen bodenkundlichen Gesellschaft, 4 – 5 April 2019. [workshop]

Schmidt, K., Taghizadeh, R., Behrens, T., Scholten, T. (2019):  Synthetic resampling strategies and machine learning for digital soil mapping in Iran. Workshop der AG DSM der Deutschen bodenkundlichen Gesellschaft, 4 – 5 April 2019. [workshop]

Taghizadeh, R., Schmidt, K., Zeraatpisheh, M., Behrens, T., Valavi, R., Scholten, T. 2019. 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 Conference Abstracts. 21: 4146 – 3. [talk]

Taghizadeh, R., Mahdianpari, M., Mohammadimanesh, F., Toomanian, Behrens, T., Scholten, T., Schmidt, K. 2019. A novel convolutional neural network for digital soil mapping. EGU General Assembly Conference Abstracts. 21: 3890. [talk]

Taghizadeh, R., Schmidt, K., Eftekhari, K., Rentschler, T., Scholten, T. 2018. Updating the categorical soil map of Iran using limited soil legacy data. 21st World Congress of Soil Science. [poster]

Taghizadeh, R., Schmidt, K., Eftekhari, K., Scholten, T. 2018. Digital mapping of WRB-soil classes in Iran using random forest prediction model. EGU General Assembly Conference Abstracts. 20: 19108. [talk]

Taghizadeh, R., Schmidt, K., Scholten, T. 2018. Water Management System in Qanat. An example of Yazd (Iran). International Conference on Underwater Archaeology. [talk]

Taghizadeh, R., Minasny, B., McBratney, A.B., Triantafilis, J., Sarmadian, F., Toomanian, N. 2012. Digital soil mapping of soil classes using decision trees in central Iran. 5th Global Workshop on Digital Soil Mapping. [Talk]

Taghizadeh, R., Sarmadian, F. 2012. Development of Pedotransfer Functions to Predict Soil Hydraulic Properties in Golestan Province, Iran. 19th World Congress of Soil Science, Soil Solutions for a Changing World. [Poster]

Taghizadeh, R., Mahmoodi, S., Heidari, A. 2010. Mineralogical and micromorphological properties of argillic horizon in Aridisols from Iran. XIV International Clay Conference. [Talk]

Taghizadeh, R., Mahmoodi, S., Heidari, A., Zamanian, K. 2009. Micromorphological evidences for climatic change and desertification in central Iran. 13th ICSM. [Talk]