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Found 4 papers, 1 papers with code
Variational Exploration Module VEM: A Cloud-Native Optimization and Validation Tool for Geospatial Modeling and AI Workflows
Geospatial observations combined with computational models have become key to understanding the physical systems of our environment and enable the design of best practices to reduce societal harm.
Foundation Models for Generalist Geospatial Artificial Intelligence
This paper introduces a first-of-a-kind framework for the efficient pre-training and fine-tuning of foundational models on extensive geospatial data.
Climate Impact Modelling Framework
Here we present a cloud-based modular framework for the deployment and operation of geospatial models, initially applied to climate impacts.
Deep Temporal Interpolation of Radar-based Precipitation
When providing the boundary conditions for hydrological flood models and estimating the associated risk, interpolating precipitation at very high temporal resolutions (e. g. 5 minutes) is essential not to miss the cause of flooding in local regions.
