AI RESEARCH
GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation
arXiv CS.CV
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ArXi:2603.25037v1 Announce Type: new Satellite Earth observation has accumulated massive spatiotemporal archives essential for monitoring environmental change, yet these remain organized as discrete raster files, making them costly to, transmit, and query. We present GeoNDC, a queryable neural data cube that encodes planetary-scale Earth observation data as a continuous spatiotemporal implicit neural field, enabling on-demand queries and continuous-time reconstruction without full decompression.