AlphaEarth究竟是什么?全球土地覆盖的层次结构与功能可解释性

📄 中文摘要

地理空间基础模型生成高维嵌入,尽管其预测性能强大,但内部组织仍然模糊,限制了其科学应用。近期的可解释性研究将谷歌AlphaEarth基础(GAEF)嵌入与连续环境变量相关联,但嵌入空间是否展现出功能性或层次性组织仍不明确,某些维度是否作为专业化表示,而其他维度是否编码共享或更广泛的地理空间结构尚待验证。研究提出了一种功能可解释性框架,通过表征嵌入维度对土地覆盖结构的贡献,反向工程嵌入维度的角色。

📄 English Summary

What on Earth is AlphaEarth? Hierarchical structure and functional interpretability for global land cover

Geospatial foundation models generate high-dimensional embeddings that demonstrate strong predictive performance; however, their internal organization remains unclear, limiting their scientific applicability. Recent interpretability studies have linked Google AlphaEarth Foundations (GAEF) embeddings to continuous environmental variables, yet it is still uncertain whether the embedding space exhibits a functional or hierarchical organization, where some dimensions serve as specialized representations while others encode shared or broader geospatial structures. This research proposes a functional interpretability framework that reverse-engineers the roles of embedding dimensions by characterizing their contributions to land cover structure based on observed classification data.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等