OPEN, CLOUD-OPTIMIZED, ANALYSIS-READY GLOBAL GEDI SATELLITE LIDAR DATASETS FOR LAND SURFACE APPLICATIONS

Ho, Y.-F., Heisig, J., Milenkovic, M., Parente, L., Simoes, R., & Hengl, T. (2025). OPEN, CLOUD-OPTIMIZED, ANALYSIS-READY GLOBAL GEDI SATELLITE LIDAR DATASETS FOR LAND SURFACE APPLICATIONS. In: Proceedings of the 2025 conference on Big Data from Space (BiDS'25). Eds. Kempeneers, P., Lumnitz, S., & Albani, S., pp. 69-72 Luxembourg: Publications Office of the European Union. ISBN 978-9268319352 10.2760/2119408.

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Abstract

Current satellite LiDAR missions, such as GEDI and ICESat- 2, provide billions of points annually that are typically not cloud-optimized and require additional quality filtering before any further analysis. In this study, we present Open-LandMap GEDI (OLM-GEDI), a new open, cloud-optimized,
and global GEDI point dataset, for which we establish a spatio-temporal structure to facilitate efficient access. We show random access to OLM-GEDI achieves 20 seconds and a minute for areas around 50-thousand and 3-million km2, respectively. The OLM-GEDI STAC catalog is further established, which can be readily loaded into a local or cloud computing environment, such as openEO. This open GEDI dataset can be beneficial to future studies to enhance their reproducibility and mitigate the complexity of handling large GEDI data volumes (∼ 120 TiB) and quality filters.

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