Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA.
Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana and Champaign, Champaign, IL 61801, USA.
Sensors (Basel). 2018 Jun 28;18(7):2063. doi: 10.3390/s18072063.
Accurate estimation of terrestrial photosynthesis has broad scientific and societal impacts. Measurements of photosynthesis can be used to assess plant health, quantify crop yield, and determine the largest CO₂ flux in the carbon cycle. Long-term and continuous monitoring of vegetation optical properties can provide valuable information about plant physiology. Recent developments of the remote sensing of solar-induced chlorophyll fluorescence (SIF) and vegetation spectroscopy have shown promising results in using this information to quantify plant photosynthetic activities and stresses at the ecosystem scale. However, there are few automated systems that allow for unattended observations over months to years. Here we present FluoSpec 2, an automated system for collecting irradiance and canopy radiance that has been deployed in various ecosystems in the past years. The instrument design, calibration, and tests are recorded in detail. We discuss the future directions of this field spectroscopy system. A network of SIF sensors, FluoNet, is established to measure the diurnal and seasonal variations of SIF in several ecosystems. Automated systems such as FluoSpec 2 can provide unique information on ecosystem functioning and provide important support to the satellite remote sensing of canopy photosynthesis.
准确估算陆地光合作用具有广泛的科学和社会影响。光合作用的测量可用于评估植物健康、量化作物产量,并确定碳循环中最大的 CO₂通量。对植被光学特性的长期连续监测可以提供有关植物生理学的有价值信息。太阳诱导叶绿素荧光 (SIF) 和植被光谱遥感的最新发展表明,利用这些信息在生态系统尺度上量化植物光合作用活动和胁迫具有很大的潜力。然而,很少有自动化系统可以在数月到数年的时间内进行无人值守的观测。在这里,我们介绍了 FluoSpec 2,这是一种用于收集辐照度和冠层辐射的自动化系统,该系统已在过去几年中在各种生态系统中部署。详细记录了仪器设计、校准和测试。我们讨论了该领域光谱系统的未来发展方向。建立了一个 SIF 传感器网络 FluoNet,以测量几个生态系统中 SIF 的日变化和季节变化。FluoSpec 2 等自动化系统可以提供有关生态系统功能的独特信息,并为冠层光合作用的卫星遥感提供重要支持。