Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA.
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol. 2021 May;27(10):2144-2158. doi: 10.1111/gcb.15554. Epub 2021 Feb 23.
Remote sensing of solar-induced fluorescence (SIF) opens a new window for quantifying a key ecological variable, the terrestrial ecosystem gross primary production (GPP), because of the revealed strong SIF-GPP correlation. However, similar to many other remotely sensed metrics, SIF observations suffer from the sun-sensor geometry effects, which may have important impacts on the SIF-GPP relationship but remain poorly understood. Here we used remotely sensed SIF, globally distributed tower GPP data, and a mechanistic model to provide a systematic analysis. Our results reveal that leaf physiology, canopy structure, and sun-sensor geometries all affect the SIF-GPP relationship. In particular, we found that SIF observations in the sun-tracking hotspot direction can be a better proxy of GPP due to the similar responses of light use efficiency and SIF escaping probability in the hotspot direction to the increasing incoming solar radiation. Such conclusions are supported by a variety of modeling simulations and satellite observations over various plant function types, at different time scales and with satellite observational modes. This study demonstrates the potential and advantage of normalizing SIF observations to the hotspot direction for better global GPP estimations. This study also demonstrates the great potentials of current and future spaceborne sun-tracking satellite missions for a significant improvement in measuring and monitoring, at a wide range of spatial and temporal scales, the changes in terrestrial ecosystem GPP in response to anticipated changes in the Earth's environmental conditions.
利用太阳诱导荧光(SIF)进行遥感为量化陆地生态系统总初级生产力(GPP)这一关键生态变量开辟了新的途径,因为 SIF 与 GPP 之间存在很强的相关性。然而,与许多其他遥感指标一样,SIF 观测受到太阳-传感器几何效应的影响,这可能对 SIF-GPP 关系产生重要影响,但目前对此了解甚少。在这里,我们使用遥感 SIF、全球分布的塔 GPP 数据和一个机制模型进行了系统分析。我们的结果表明,叶片生理学、冠层结构和太阳-传感器几何形状都影响 SIF-GPP 关系。特别是,我们发现,由于在热点方向上光利用效率和 SIF 逸出概率对入射太阳辐射的增加具有相似的响应,因此在太阳跟踪热点方向上的 SIF 观测可以更好地代理 GPP。这些结论得到了各种建模模拟和不同植物功能类型、不同时间尺度和卫星观测模式的卫星观测的支持。本研究表明,将 SIF 观测归一化为热点方向对于更好地估算全球 GPP 具有潜力和优势。本研究还展示了当前和未来的星载太阳跟踪卫星任务的巨大潜力,可在广泛的时空尺度上,对地球环境条件变化引起的陆地生态系统 GPP 变化进行测量和监测。