Computer Science - Machine Learning

DeepExtremeCubes: Integrating Earth System Spatio-Temporal Data for Impact Assessment of Climate Extremes

With climate extremes' rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated …

On-Demand Earth System Data Cubes

Advancements in Earth system science have seen a surge in diverse datasets. Earth System Data Cubes (ESDCs) have been introduced to efficiently handle this influx of high-dimensional data. ESDCs offer a structured, intuitive framework for data …