MillionST is a large-scale satellite image time series dataset curated for pre-training spatiotemporal foundation models for Earth observation.
The dataset contains approximately 1 million satellite images from 100,000 geographic locations, with each location observed across 10 temporal phases over five years. It is designed to capture diverse geospatial changes, seasonal variations, and long-term land-surface dynamics.
MillionST was introduced in the paper:
TiMo:… See the full description on the dataset page:
https://huggingface.co/datasets/Hillui/MillionST.
