2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Context-Aware Multimodal Representation Learning for Spatio-Temporally Explicit Environmental Modelling
Julia Peters, Karin Mora, Miguel D. Mahecha +4
Earth observation (EO) foundation models have emerged as an effective approach to derive latent representations of the Earth system from various remote sensing sensors. These model…
math.DS2024★ 1 cited
Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes
Leonard Schulz, Jürgen Vollmer, Miguel D. Mahecha +1
Understanding the dynamics of the land-atmosphere exchange of CO is key to advance our predictive capacities of the coupled climate-carbon feedback system. In essence, the net…
cs.LG2024★ 2 cited
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
Chaonan Ji, Tonio Fincke, Vitus Benson +12
With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show prom…