DATABANK


The existing remote sensing data files are huge, and the cost of data collection and loading in problem solving is huge, which cannot meet the needs of fast and dynamic discovery, loading and combination of massive data in the era of big data.

Based on the remote sensing big data engine DataBox, Databank reconstructs and organizes Landsat RTU high-quality earth observation data. Metadata adopts database cluster technology to support users' rapid retrieval of large-scale long-term LandsatRTU products.

Remote sensing images are stored using an object-oriented storage system, supporting high concurrent reading and writing of remote sensing images, real-time online visual rendering of remote sensing images and direct calling and processing of remote sensing data in data analysis environment.

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