Abstract A novel approach to characterize the physiological conditions of plants from hyperspectral remote sensing data through the numerical inversion of a light version of the SCOPE model is proposed. The combined retrieval of vegetation biochemical and biophysical parameters and Sun-induced chlorophyll fluorescence (F) was investigated exploiting high resolution spectral measurements in the visible and near-infrared spectral regions. First, the retrieval scheme was evaluated against a synthetic dataset. Then, it was applied to very high resolution (sub-nanometer) canopy level spectral measurements collected over a lawn treated with different doses of a herbicide (Chlorotoluron) known to instantaneously inhibit both Photochemical and Non-Photochemical Quenching (PQ and NPQ, respectively). For the first time the full spectrum of canopy F, the fluorescence quantum yield (ΦF), as well as the main vegetation parameters that control light absorption and reabsorption, were retrieved concurrently using canopy-level high resolution apparent reflectance (ρ*) spectra. The effects of pigment content, leaf/canopy structural properties and physiology were effectively discriminated. Their combined observation over time led to the recognition of dynamic patterns of stress adaptation and stress recovery. As a reference, F values obtained with the model inversion were compared to those retrieved with state of the art Spectral Fitting Methods (SFM) and SpecFit retrieval algorithms applied on field data. ΦF retrieved from ρ* was eventually compared with an independent biophysical model of photosynthesis and fluorescence. These results foster the use of repeated hyperspectral remote sensing observations together with radiative transfer and biochemical models for plant status monitoring.

中文翻译：

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通过辐射传递模型反演探索太阳诱导叶绿素荧光的生理信息

摘要 提出了一种通过光版本 SCOPE 模型的数值反演从高光谱遥感数据中表征植物生理状况的新方法。利用可见光和近红外光谱区域的高分辨率光谱测量，研究了植被生化和生物物理参数以及太阳诱导的叶绿素荧光 (F) 的组合检索。首先，根据合成数据集评估检索方案。然后，将其应用于在用不同剂量的除草剂 (Chlorotoluron) 处理的草坪上收集的非常高分辨率（亚纳米）树冠水平光谱测量，已知可立即抑制光化学和非光化学淬灭（分别为 PQ 和 NPQ） . 第一次全光谱的树冠F，使用冠层级高分辨率表观反射率 (ρ*) 光谱同时检索荧光量子产率 (ΦF) 以及控制光吸收和重吸收的主要植被参数。有效区分了色素含量、叶/冠层结构特性和生理的影响。随着时间的推移，他们的综合观察导致人们认识到压力适应和压力恢复的动态模式。作为参考，将通过模型反演获得的 F 值与使用最先进的光谱拟合方法 (SFM) 和应用于现场数据的 SpecFit 检索算法检索到的值进行比较。从 ρ* 获取的 ΦF 最终与光合作用和荧光的独立生物物理模型进行了比较。