2026-10-08, 18:00–18:45 (Europe/Amsterdam), Room 18
In this workshop, the participants will have access to harmonized, analysis-ready, gap-filled and complete Landsat global mosaics from 1997 onward in cloud-optimized GeoTIFF (COG) format (130 TB of data) in CDSE (https://browser.stac.dataspace.copernicus.eu). Spanning over 25 years and structured in 7 spectral bands (RGB, NIR, SWIR-1, SWIR-2 and thermal), this data is instrumental for long-term monitoring applications of land cover change, soil proprieties, vegetation productivity, land degradation, vegetation height and other environmental characteristics. The global mosaics were produced via the Time-Series Iteration-free Reconstruction (TSIRF) framework over the entire Global Land Analysis and Discovery (GLAD) ARD Landsat archive (https://doi.org/10.7717/peerj.18585). Participants will learn about the implemented methodologies and use several python libraries (stacstac, scikit-map) JupyterLab.
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
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Leandro Parente is a senior researcher at OpenGeoHub Foundation with more than 15 years of experience in processing Earth Observation (EO) data and developing Machine Learning (ML) pipelines for producing continental and global maps.