While more and more studies are exploring the application of remote sensing in assessing biodiversity for different ecosystems, most consider biodiversity at one point in time. Using several remote‐sensing‐based metrics, we asked how well remote sensing can detect biodiversity (both α‐ and β‐diversity) in a prairie grassland across time using airborne hyperspectral data collected in two successive years (2017 and 2018) and at different periods in the growing season (2018). The ability to detect biodiversity using “spectral diversity” and “spectral species” types indeed varied significantly over a 2‐yr timespan. Toward the end of the growing season in 2018, the relationship between field‐ and remote‐sensing‐based α‐ and β‐diversity weakened compared to data collected from the same season in the previous year. This contrasting pattern between the two years was likely influenced by prescribed fire, altered weather, and the resulting shifting species composition and phenology. These findings indicate that direct detection of α‐ and β‐diversity in grasslands should be multi‐temporal when possible and should consider the effect of disturbances, climate variables, and phenology. We demonstrate an essential role for airborne platforms in developing a global biodiversity monitoring system involving forthcoming space‐borne hyperspectral sensors.

中文翻译：

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利用高光谱成像技术对草地的α和β多样性进行多时间评估。

尽管越来越多的研究正在探索遥感技术在评估不同生态系统的生物多样性方面的应用，但大多数研究都在某个时间点考虑生物多样性。我们使用几个基于遥感的指标，使用连续两年（2017年和2018年）收集的机载高光谱数据，询问了遥感如何跨时间检测草原草原中的生物多样性（α和β多样性）生长季节（2018年）。在2年的时间跨度内，使用“光谱多样性”和“光谱物种”类型检测生物多样性的能力确实存在显着差异。在2018年生长季节快要结束时，与上一年同一季节收集的数据相比，基于实地和遥感的α和β多样性之间的关系有所减弱。两年之间的这种对比模式可能受到规定的火灾，天气变化以及由此导致的物种组成和物候变化的影响。这些发现表明，在可能的情况下，直接检测草原中的α和β多样性应该是多时相的，并应考虑干扰，气候变量和物候的影响。我们展示了机载平台在开发涉及即将到来的星载高光谱传感器的全球生物多样性监测系统中的重要作用。和物候学。我们展示了机载平台在开发涉及即将到来的星载高光谱传感器的全球生物多样性监测系统中的重要作用。和物候学。我们展示了机载平台在开发涉及即将到来的星载高光谱传感器的全球生物多样性监测系统中的重要作用。