地理空间基础模型（GFMs）提供了强大的表征能力，但高昂的计算成本限制了其广泛应用。预先计算的嵌入数据产品提供了一种实用的“冻结”替代方案，然而目前这些产品存在于格式和分辨率不兼容的碎片化生态系统中。缺乏标准化造成了工程瓶颈，阻碍了有意义的模型比较与可复现性。我们通过三层分类体系——数据、工具与价值——对这一领域进行了形式化梳理。通过对现有产品的调研，识别出互操作性的障碍。为弥合这一差距，我们扩展了TorchGeo，引入统一API以标准化多样嵌入产品加载与查询方式。通过将嵌入视为第一类地理空间数据集，我们实现了下游分析与模型特定工程的解耦，为更透明、更易访问的地球观测工作流提供了路线图。

Geospatial Foundation Models (GFMs) provide powerful representations, but high compute costs hinder their widespread use. Pre-computed embedding data products offer a practical "frozen" alternative, yet they currently exist in a fragmented ecosystem of incompatible formats and resolutions. This lack of standardization creates an engineering bottleneck that prevents meaningful model comparison and reproducibility. We formalize this landscape through a three-layer taxonomy: Data, Tools, and Value. We survey existing products to identify interoperability barriers. To bridge this gap, we extend TorchGeo with a unified API that standardizes the loading and querying of diverse embedding products. By treating embeddings as first-class geospatial datasets, we decouple downstream analysis from model-specific engineering, providing a roadmap for more transparent and accessible Earth observation workflows.