Artikel ; Online: Establishing a Gross Primary Productivity Model by SIF and PRI on the Rice Canopy.
Plant phenomics (Washington, D.C.)
2024 Band 6, Seite(n) 144
Abstract: Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, ...
| Abstract | Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, few studies have used SIF combined with PRI to estimate crop canopy GPP. Large temporal and spatial variability between SIF, PRI, and GPP has also been found in remote sensing observations, and the observed PRI and SIF are influenced by the ratio of different observed information (e.g., background, direct sunlit, and shaded leaves) and the physiological state of the vegetation. In this study, the PRI and SIF from a multi-angle spectrometer and the GPP from an eddy covariance system were used to assess the ability of the PRI to enhance the SIF-GPP estimation model. A semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) model was used to describe the hotspot PRI/SIF (PRI |
|---|---|
| Sprache | Englisch |
| Erscheinungsdatum | 2024-02-01 |
| Erscheinungsland | United States |
| Dokumenttyp | Journal Article |
| ISSN | 2643-6515 |
| ISSN (online) | 2643-6515 |
| DOI | 10.34133/plantphenomics.0144 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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