Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks. - Johannes Leonhardt; Lukas Drees; Peter Jung 001; Ribana Roscher (GCPR, 2022)

Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. - Timo T. Stomberg; Taylor Stone; Johannes Leonhardt; Ribana Roscher (CoRR, 2022)

Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. - Johannes Leonhardt; Lukas Drees; Jürgen Gall; Ribana Roscher (DAGM, 2023)

Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks. - Lukas Drees; Dereje T. Demie; Madhuri R. Paul; Johannes Leonhardt; Sabine J. Seidel; Thomas F. Döring; Ribana Roscher (CoRR, 2023)

Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery. - Timo T. Stomberg; Johannes Leonhardt; Immanuel Weber; Ribana Roscher (Frontiers Artif. Intell., 2023)

Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification. - Mohamed M. Farag; Ahmed Emam; Johannes Leonhardt; Ribana Roscher (Comput. Electron. Agric., 2025)