Monitoring global biodiversity from space through remotely sensing geospatial patterns has high potential to add to our knowledge acquired by field observation. Although a framework of essential biodiversity variables (EBVs) is emerging for monitoring biodiversity, its poor alignment with remote sensing products hinders interpolation between field observations. This study compiles a comprehensive, prioritized list of remote sensing biodiversity products that can further improve the monitoring of geospatial biodiversity patterns, enhancing the EBV framework and its applicability. The ecosystem structure and ecosystem function EBV classes, which capture the biological effects of disturbance as well as habitat structure, are shown by an expert review process to be the most relevant, feasible, accurate and mature for direct monitoring of biodiversity from satellites. Biodiversity products that require satellite remote sensing of a finer resolution that is still under development are given lower priority (for example, for the EBV class species traits). Some EBVs are not directly measurable by remote sensing from space, specifically the EBV class genetic composition. Linking remote sensing products to EBVs will accelerate product generation, improving reporting on the state of biodiversity from local to global scales.

通过遥感地理空间模式从太空监测全球生物多样性很有可能增加我们通过实地观察获得的知识。尽管用于监测生物多样性的基本生物多样性变量 (EBV) 框架正在兴起，但它与遥感产品的一致性不佳阻碍了实地观测之间的插值。本研究编制了一份综合的、优先考虑的遥感生物多样性产品清单，可以进一步改进对地理空间生物多样性模式的监测，增强 EBV 框架及其适用性。生态系统结构和生态系统功能 EBV 类别，捕捉干扰的生物效应以及栖息地结构，被专家评审过程证明是最相关、可行的，从卫星直接监测生物多样性的准确和成熟。需要更精细分辨率卫星遥感但仍在开发中的生物多样性产品的优先级较低（例如，对于 EBV 类物种特征）。一些 EBV 不能通过太空遥感直接测量，特别是 EBV 类遗传组成。将遥感产品与 EBV 联系起来将加速产品的产生，改进从地方到全球范围内的生物多样性状况报告。