Post
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๐๐๐ฃ๐จ๐ซ ๐๐๐ โ ๐๐จ๐จ๐ ๐ฅ๐ ๐๐๐๐ฉ๐๐ข๐ง๐'๐ฌ ๐๐ฅ๐ฉ๐ก๐๐๐๐ซ๐ญ๐ก ๐๐ฆ๐๐๐๐๐ข๐ง๐ ๐ฌ ๐๐ซ๐ ๐ง๐จ๐ฐ ๐๐ฏ๐๐ข๐ฅ๐๐๐ฅ๐ โผ๏ธ
This is a tiny (about 6 TB of data, but only 62,489 grid cells of ~100 sqkm) prototype dataset that allows to instantly connect existing Major TOM data with AlphaEarth embeddings.
Major-TOM/Core-AlphaEarth-Embeddings
I curated it to support several relevant research projects, but I figured it could help more people in the community to experiment and explore new applications of AlphaEarth.
๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐จ๐ซ ๐๐ฌ๐
Each embedding sample comes from the original annual dataset produced by Google DeepMind. It means that, unlike samples from Sentinel-2 or Sentinel-1, it contains aggregated annual information from a particular year and is not linked to one particular observation. The existing Major TOM samples from physical sensors provide information potentially (and likely) contained in the AlphaEarth embedding sample, but they miss the temporal component represented within AEF embedding fields.
For more information, please check the dataset card on HuggingFace.
โ ๏ธ ๐๐๐๐๐๐๐: ๐๐ฆ๐๐๐๐๐ข๐ง๐ ๐ฌ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐๐๐ญ๐๐ฌ๐๐ญ ๐๐จ ๐ง๐จ๐ญ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐ฌ๐๐ฆ๐ฉ๐ฅ๐๐ฌ, ๐๐ฎ๐ญ ๐ ๐ฐ๐ก๐จ๐ฅ๐ ๐ฒ๐๐๐ซ ๐จ๐ ๐ฆ๐ฎ๐ฅ๐ญ๐ข-๐ฆ๐จ๐๐๐ฅ ๐จ๐๐ฌ๐๐ซ๐ฏ๐๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐ฏ๐ ๐๐ฎ๐ง!
๐ Built on top of fantastic work of
Christopher Brown, Michal Kazmierski, Valerie Pasquarella, Emily Schechter and others at Google DeepMind.
This is a tiny (about 6 TB of data, but only 62,489 grid cells of ~100 sqkm) prototype dataset that allows to instantly connect existing Major TOM data with AlphaEarth embeddings.
Major-TOM/Core-AlphaEarth-Embeddings
I curated it to support several relevant research projects, but I figured it could help more people in the community to experiment and explore new applications of AlphaEarth.
๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐จ๐ซ ๐๐ฌ๐
Each embedding sample comes from the original annual dataset produced by Google DeepMind. It means that, unlike samples from Sentinel-2 or Sentinel-1, it contains aggregated annual information from a particular year and is not linked to one particular observation. The existing Major TOM samples from physical sensors provide information potentially (and likely) contained in the AlphaEarth embedding sample, but they miss the temporal component represented within AEF embedding fields.
For more information, please check the dataset card on HuggingFace.
โ ๏ธ ๐๐๐๐๐๐๐: ๐๐ฆ๐๐๐๐๐ข๐ง๐ ๐ฌ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐๐๐ญ๐๐ฌ๐๐ญ ๐๐จ ๐ง๐จ๐ญ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐ฌ๐๐ฆ๐ฉ๐ฅ๐๐ฌ, ๐๐ฎ๐ญ ๐ ๐ฐ๐ก๐จ๐ฅ๐ ๐ฒ๐๐๐ซ ๐จ๐ ๐ฆ๐ฎ๐ฅ๐ญ๐ข-๐ฆ๐จ๐๐๐ฅ ๐จ๐๐ฌ๐๐ซ๐ฏ๐๐ญ๐ข๐จ๐ง๐ฌ. ๐๐๐ฏ๐ ๐๐ฎ๐ง!
๐ Built on top of fantastic work of
Christopher Brown, Michal Kazmierski, Valerie Pasquarella, Emily Schechter and others at Google DeepMind.
