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Demonstrating EarthLake: A Model Lake System for Earth Observation Foundation Model Management

Summary: EarthLake is a model-lake system for Earth-observation foundation models, combining schema-guided registration, natural-language task discovery, and reproducible experiment management. It supports end-to-end model discovery, benchmarking, comparison, and deployment on new imagery. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h61bcb302595fa2ad
Venue
VLDB
Year
2026
Pagerank
-
Overall Rank
13,593 | 8.61%
DOI
10.14778/3827998.3828078

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Authors

BibTeX Citation

@article{chen_vldb26,
        title = {{Demonstrating EarthLake: A Model Lake System for Earth Observation Foundation Model Management}},
        author = {Chen, Binger and Gavriilidis, Haralampos and Gaedicke, Luca and Bök, Tacettin Emre and Boehm, Matthias and Abedjan, Ziawasch and Demir, Begüm and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4610--4613},
        doi = {10.14778/3827998.3828078},
        url = {https://doi.org/10.14778/3827998.3828078},
        year = {2026}
}

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5,792 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.99349e-05
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