A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ESANN, 2020)

Inferring, Predicting, and Denoising Causal Wave Dynamics. - Matthias Karlbauer; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (1), 2020)

Hidden Latent State Inference in a Spatio-Temporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (CoRR, 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)

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)

Latent State Inference in a Spatiotemporal Generative Model. - Matthias Karlbauer; Tobias Menge; Sebastian Otte; Hendrik P. A. Lensch; Thomas Scholten; Volker Wulfmeyer; Martin V. Butz (ICANN (4), 2021)

Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai. - Mona Morsy; Thomas Scholten; Silas C. Michaelides; Erik Borg; Youssef Sherief; Peter Dietrich (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 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)

TREELINE - Longterm atmospheric and pedo-climatic observations along an upper treeline ecotone in the Himalayas, Nepal. - Johannes Weidinger; Lars Gerlitz; Maria Bobrowski; Jürgen Böhner; Ram Prasad Chaudhary; Udo Schickhoff; Niels Schwab; Thomas Scholten (UHH-FDR, 2021)

Monitoring and Integrating the Changes in Vegetated Areas with the Rate of Groundwater Use in Arid Regions. - Mona Morsy; Silas C. Michaelides; Thomas Scholten; Peter Dietrich (Remote. Sens., 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)

Inductive biases in deep learning models for weather prediction. - Jannik Thümmel; Matthias Karlbauer; Sebastian Otte; Christiane Zarfl; Georg Martius; Nicole Ludwig 002; Thomas Scholten; Ulrich Friedrich; Volker Wulfmeyer; Bedartha Goswami; Martin V. Butz (CoRR, 2023)

SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe. - Nafiseh Kakhani; Moien Rangzan; Ali Jamali; Sara Attarchi; Seyed Kazem Alavipanah; Thomas Scholten (CoRR, 2023)

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)

Advanced Prediction of Soil Organic Carbon: A Hybrid Transformer Network with Cost-Sensitive Learning Using Remote Sensing and Climate Data. - Nafiseh Kakhani; Michael Mommert; Thomas Scholten (IGARSS, 2024)

Machine Learning Enhances Soil Aggregate Stability Mapping for Effective Land Management in a Semi-Arid Region. - Pegah Khosravani; Ali Akbar Moosavi; Majid Baghernejad; Ndiye M. Kebonye; Seyed Roohollah Mousavi; Thomas Scholten (Remote. Sens., 2024)

SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction. - Nafiseh Kakhani; Moien Rangzan; Ali Jamali; Sara Attarchi; Seyed Kazem Alavipanah; Michael Mommert; Nikolaos Tziolas; Thomas Scholten (IEEE Trans. Geosci. Remote. Sens., 2024)

Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction. - Nafiseh Kakhani; Setareh Alamdar; Ndiye Michael Kebonye; Meisam Amani; Thomas Scholten (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)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: code. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Fully differentiable, fully distributed River Discharge Prediction: data sets. - Fedor Scholz; Manuel Traub; Christiane Zarfl; Thomas Scholten; Martin V. Butz (Zenodo, 2024)

Machine learning applications in archaeological practices: a review. - Mathias Bellat; Jordy D. Orellana Figueroa; Jonathan S. Reeves; Mohammad Hossein Tahari-Mehrjardi; Claudio Tennie; Thomas Scholten (CoRR, 2025)