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

MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. - Burak Ekim; Timo T. Stomberg; Ribana Roscher; Michael Schmitt 003 (CoRR, 2022)

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)

Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction. - Jana Kierdorf; Timo T. Stomberg; Lukas Drees; Uwe Rascher; Ribana Roscher (Frontiers Artif. Intell., 2024)

Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery. - Ahmed Emam; Timo T. Stomberg; Ribana Roscher (IEEE Geosci. Remote. Sens. Lett., 2024)