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首页> 外文期刊>Geophysical Research Letters >From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate Crop Productivity
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From the Ground to Space: Using Solar-Induced Chlorophyll Fluorescence to Estimate Crop Productivity

机译：从地面到空间：利用太阳能诱导的叶绿素荧光来估计作物生产率

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摘要

Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar-induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower-level observations and process-based modeling, we find highly linear gross primary production (GPP):SIF relationships for C4 crops, while C3 crops show some saturation of GPP at high light when SIF continues to increase. C4 crops yield higher GPP:SIF ratios (30-50%) primarily because SIF is most sensitive to the light reactions (does not account for photorespiration). Scaling to the satellite, we compare SIF from the TROPOspheric Monitoring Instrument (TROPOMI) against tower-derived GPP and county-level crop statistics. Temporally, TROPOMI SIF strongly agrees with GPP observations upscaled across a corn and soybean dominated cropland (R-2 = 0.89). Spatially, county-level TROPOMI SIF correlates with crop productivity (R-2 = 0.72; 0.86 when accounting for planted area and C3/C4 contributions), highlighting the potential of SIF for reliable crop monitoring.
机译：及时，准确地监测作物对于粮食安全至关重要。在这里，我们研究了太阳能诱导的叶绿素荧光（SIF）如何为美国通报作物生产力。基于塔级观测和基于过程的建模，我们发现高度线性的初级生产（GPP）：C4作物的SIF关系，而C3作物当SIF继续增加时，C3作物在高灯处显示出GPP的一些饱和度。 C4作物产生更高的GPP：SIF比率（30-50％）主要是因为SIF对光反应最敏感（不考虑光呼吸）。向卫星进行缩放，我们将SIF与Tropleric Monitoring仪器（Tropomi）的比较对抗塔衍生的GPP和县级作物统计数据。在暂时，Tropomi SIF强烈同意，在玉米和大豆主导的农作物（R-2 = 0.89）上升高了GPP观察。空间上，县级血统SIF与作物生产率相关（R-2 = 0.72; 0.86核对种植区域和C3 / C4贡献时）相关联，突出了SIF用于可靠作物监测的潜力。

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