Airborne measurements of sun-induced chlorophyll fluorescence (SIF) are a promising tool for monitoring plant functioning on different scales. However, currently operational airborne imaging spectrometers for SIF measurements still have limited spatial resolution and pointing accuracy. This is challenging in terms of the practical use of SIF maps for crop breeding and plant phenotyping. We developed and tested two spatial aggregation approaches to make airborne SIF data usable in experimental settings with a high number of small experimental plots. The two aggregation approaches generating representative SIF values for experimental plots demonstrated the potential to be used in crop phenotyping. The first aggregation approach (Approach A) aggregates pixel values directly on SIF maps, whereas the second approach (Approach B) aggregates at-sensor radiance before SIF retrieval. The statistical analysis showed that Approaches A and B led to significantly different SIF products for single experimental plots (p < 0.001). To evaluate the usability of the two approaches, aggregated SIF products were fitted against ground-based reference measurements. We found that Approach B provided a better representation of ground truth SIF₇₆₀ (R² = 0.61, p < 0.001) than Approach A (R² = 0.55, p < 0.001) when combined with weighted averaging and robust outlier detection. Furthermore, our results suggest that a slight decrease in the spatial resolution of the image data improves accuracy of aggregation.

太阳诱导叶绿素荧光 (SIF) 的空中测量是监测不同尺度植物功能的有前途的工具。然而，目前用于 SIF 测量的机载成像光谱仪仍然具有有限的空间分辨率和指向精度。就 SIF 图在作物育种和植物表型分析中的实际应用而言，这具有挑战性。我们开发并测试了两种空间聚合方法，使机载 SIF 数据可用于具有大量小型实验地块的实验环境。为实验地块生成代表性 SIF 值的两种聚合方法证明了用于作物表型的潜力。第一种聚合方法（方法 A）直接在 SIF 地图上聚合像素值，而第二种方法（方法 B）在 SIF 检索之前聚合传感器处的辐射。统计分析表明，方法 A 和 B 导致单个实验地块的 SIF 产品显着不同（p < 0.001）。为了评估这两种方法的可用性，将聚合的 SIF 产品与基于地面的参考测量值进行拟合。我们发现方法 B 提供了更好的地面实况 SIF 表示₇₆₀ (R ²  = 0.61, p < 0.001) 与方法 A (R ²  = 0.55, p < 0.001) 结合使用加权平均和稳健的异常值检测。此外，我们的结果表明，图像数据空间分辨率的略微降低可以提高聚合的准确性。