# jianzhichun/spatiotemporal\_data\_library

<https://repo.masters-masters.com/en/repos/jianzhichun/spatiotemporal_data_library>

[Home](https://repo.masters-masters.com/en) › [jianzhichun](https://repo.masters-masters.com/en/owners/jianzhichun) › [spatiotemporal\_data\_library](https://repo.masters-masters.com/en/repos/jianzhichun/spatiotemporal_data_library)

jianzhichun/spatiotemporal\_data\_library has 224 stars on GitHub. Its RepoMasters card: Prototype tier. A Python library for unified access to multi-source…

| Field | Value |
| --- | --- |
| Owner | [jianzhichun](https://repo.masters-masters.com/en/owners/jianzhichun) |
| Stars | 224 |
| Forks | 0 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jianzhichun/spatiotemporal\_data\_library](https://github.com/jianzhichun/spatiotemporal_data_library) |

## Repository

A Python library for unified access to multi-source spatiotemporal Earth observation data, supporting major meteorological and oceanographic datasets such as ERA5, PO.DAAC (e.g., CYGNSS, OSCAR), SMAP RSS, and SFMR.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.