4 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study
Sven Ligensa, Jan Pauls, Karsten Schrödter +2
Predicting canopy height from medium-resolution satellite imagery is a common and scalable approach for assessing the condition of the world's forests, which play a crucial role in…
Canopy Tree Height Estimation Using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
Karsten Schrödter, Jan Pauls, Fabian Gieseke
Accurate tree height estimation is vital for ecological monitoring and biomass assessment. We apply quantile regression to existing tree height estimation models based on satellite…
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
Ibrahim Fayad, Max Zimmer, Martin Schwartz +6
Significant efforts have been directed towards adapting self-supervised multimodal learning for Earth observation applications. However, most current methods produce coarse patch-s…
Estimating Canopy Height at Scale
Jan Pauls, Max Zimmer, Una M. Kelly +6
We propose a framework for global-scale canopy height estimation based on satellite data. Our model leverages advanced data preprocessing techniques, resorts to a novel loss functi…