
This repository hosts an end-to-end pipeline designed for the generation of cloud-free Sentinel-2 satellite imagery mosaics. It provides a robust solution for creating monthly basemaps over large geographical areas, leveraging advanced cloudmasking techniques to ensure high-quality, clear imagery. The pipeline is structured to automate the complex process from data acquisition to final mosaic production.
The tool is optimized for GPU processing, with specific configurations provided for environments such as Vast AI. Users can quickly set up the necessary environment using provided scripts, making it accessible for those with GPU resources. This focus on GPU acceleration allows for efficient handling of the substantial data volumes associated with large-area satellite imagery.
By offering a streamlined approach to Sentinel-2 mosaic generation, the pipeline supports various applications requiring consistent, cloud-free satellite data. Its emphasis on automation and performance makes it a valuable resource for researchers and practitioners working with remote sensing data at scale.
Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.
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