Science Cases

These science cases illustrate how DeepESDL can be used to address key questions in earth system science. They demonstrate research workflows, from exploring drought impacts to analyzing ocean carbon dynamics and biodiversity change, and show how the platform’s data cubes and scalable processing environment can support the discovery of new insights.

Drought Effects

Linear estimation of drought effects on productivity.

Land-Biosphere-Society

Diagnosing syndromes of biosphere-atmosphere-socioeconomic change.

Ocean Carbon Cycle

Dimensionality reduction and feature selection to reveal patterns in global carbon dynamics.

Polar

Automatic ice damage detection from Sentinel-1 radar imagery.

Time Series Prediciton

Transformer based forecast of productivity in DeepESDL.