Researchers have developed a latent world model, LeWorldModel, to forecast when Earth Observation (EO) imagery will be usable, addressing the bottleneck of data availability versus surface visibility. This model, adapted for cloud-aware sequences and trained on the EarthNet2021 dataset, predicts the usability of future satellite acquisitions. In evaluations, LeWorldModel significantly outperformed persistence baselines for both next-step usability and exact usable horizon prediction, demonstrating its effectiveness in improving EO processing chains. AI
IMPACT Improves the efficiency of Earth Observation processing by predicting data usability, potentially accelerating climate and environmental monitoring.
RANK_REASON The cluster contains an arXiv preprint detailing a new model and research findings.
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- HDF5
- Hugging Face
- LeWorldModel
- LightGBM
- Mohanad Albughdadi
- ScienceCast
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