26 citations · 32 across the 3 of their papers we have counts for
3 papers
LC-SLab -- An object-based deep learning framework for large-scale land cover classification from satellite imagery and sparse in-situ labels
Johannes Leonhardt, Juergen Gall, Ribana Roscher
Large-scale land cover maps generated using deep learning play a critical role across a wide range of Earth science applications. Open in-situ datasets from principled land cover s…
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
Lukas Drees, Dereje T. Demie, Madhuri R. Paul +4
Image-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time, which allows an early and location-specific…
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery
Timo T. Stomberg, Taylor Stone, Johannes Leonhardt +2
Wilderness areas offer important ecological and social benefits and there are urgent reasons to discover where their positive characteristics and ecological functions are present a…