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The photochemical reflectance index from directional cornfield reflectances: Observations and simulations

机译:玉米田定向反射产生的光化学反射指数:观测与模拟

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The two-layer Markov chain Analytical Canopy Reflectance Model (ACRM) was linked with in situ hyperspectral leaf optical properties to simulate the Photochemical Reflectance Index (PRI) for a corn crop canopy at three different growth stages. This is an extended study after a successful demonstration of PRI simulations for a cornfield previously conducted at an early vegetative growth stage. Consistent with previous in situ studies, sunlit leaves exhibited lower PRI values than shaded leaves. Since sunlit (shaded) foliage dominates the canopy in the reflectance hotspot (coldspot), the canopy PRI derived from field hyperspectral observations displayed sensitivity to both view zenith angle and relative azimuth angle at all growth stages. Consequently, sunlit and shaded canopy sectors were most differentiated when viewed along the azimuth matching the solar principal plane. These directional PRI responses associated with sunlit/shaded foliage were successfully reproduced by the ACRM. As before, the simulated PRI values from the current study were closer to in situ values when both sunlit and shaded leaves were utilized as model input data in a two-layer mode, instead of a one-layer mode with sunlit leaves only. Model performance as judged by correlation between in situ and simulated values was strongest for the mature corn crop (r = 0.87, RMSE = 0.0048), followed by the early vegetative stage (r = 0.78; RMSE = 0.0051) and the early senescent stage (r = 0.65; RMSE = 0.0104). Since the benefit of including shaded leaves in the scheme varied across different growth stages, a further analysis was conducted to investigate how variable fractions of sunlit/shaded leaves affect the canopy PRI values expected for a cornfield, with implications for remote sensing monitoring options. Simulations of the sunlit to shaded canopy ratio near 50/50 ± 10 (e.g., 60/40) matching field observations at all growth stages were examined. Our results suggest the importance of the sunlit/shaded fraction and canopy structure in understanding and interpreting PRI.
机译:将两层马尔可夫链分析冠层反射模型(ACRM)与原位高光谱叶片光学特性联系起来,以模拟玉米作物冠层在三个不同生长阶段的光化学反射指数(PRI)。这是对先前在营养生长早期进行的玉米田的PRI模拟成功演示之后的一项扩展研究。与先前的原位研究一致,阳光照射的叶片显示的PRI值低于阴影叶片。由于阳光照射(阴影)的树叶在反射热点(coldspot)中占主导地位,因此,从田间高光谱观察得出的冠层PRI在所有生长阶段均对天顶角和相对方位角均显示出敏感性。因此,当沿与太阳主平面匹配的方位角观察时,阳光照射和阴影遮盖的扇形区最有区别。这些与阳光/阴影的树叶相关的定向PRI响应已由ACRM成功复制。与以前一样,当前的研究中模拟的PRI值在两层模式下使用阳光和阴影叶子作为模型输入数据时代替了仅在阳光照射下的单层模式时更接近原位值。通过原位和模拟值之间的相关性判断的模型表现对于成熟的玉米作物最强(r = 0.87,RMSE = 0.0048),其次是营养早期(r = 0.78; RMSE = 0.0051)和衰老早期(r = 0.78; RMSE = 0.0051)。 r = 0.65; RMSE = 0.0104)。由于在方案中包括阴影叶片的好处在不同的生长阶段有所不同,因此进行了进一步的分析,以研究日照/阴影叶片的可变部分如何影响玉米田的冠层PRI值,从而对遥感监测方案产生影响。检查了在所有生长阶段的接近50/50±10(例如60/40)匹配场观察结果的日照与阴影冠层比的模拟。我们的结果表明,在理解和解释PRI时,阳光/阴影部分和冠层结构的重要性。

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