Remote sensing of photosynthetic processes by Photochemical Reflectance Index (PRI)

被引:0
|
作者
Raddi, S. [1 ]
Cortes, S. [2 ]
Vicinelli, E. [3 ]
Magnani, F.
机构
[1] Univ Florence, Dipartimento Sci & Tecnol Ambientali Forestali, Via San Bonaventura 13, I-50145 Florence, Italy
[2] Univ Basilicata, Dipartimento Sci Sistemi Colturali, Forestali & Ambient, Potenza 85100, Italy
[3] Univ Bologna, Dipartimento Colture Agrarie DCA, Bologna 40127, Italy
关键词
remote sensing; photosynthesis; Gross Primary Production; spectral index;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The Photochemical Reflectance Index (PRI) has been proposed as a tool for the estimation of leaf and canopy light-use efficiency and photosynthesis from remote-sensing data. The application of the index is based on more than fifteen years of spectroscopic studies at the leaf level, which support it with a sound physiological basis. In the present study, the correlation between PRI and instantaneous light-use efficiency was estimated across a range of vegetation types in the San Rossore Regional Park, a CHRIS-Proba core site. The relationship was also tested over an entire season for a pine forest in the Park, where carbon fluxes have been monitored by eddy-covariance over the last five years. Seasonal changes in photosynthetic potential were also monitored at the site, in order,to test the correlation with PRI reported in the literature. In September 2004, estimates of canopy PRI from CHRIS images were compared with leaf-level measurements from 11 plots corresponding to different vegetation types. The results were used to extrapolate leaf-level information to the entire scene.
引用
收藏
页码:227 / +
页数:2
相关论文
共 50 条
  • [41] Explaining the variability of the photochemical reflectance index (PRI) at the canopy-scale: Disentangling the effects of phenological and physiological changes
    Merlier, Elodie
    Hmimina, Gabriel
    Dufrene, Eric
    Soudani, Kamel
    [J]. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY, 2015, 151 : 161 - 171
  • [42] Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A Meta-Analysis
    Sukhova, Ekaterina
    Sukhov, Vladimir
    [J]. REMOTE SENSING, 2018, 10 (05)
  • [43] The photochemical reflectance index as a measure of photosynthetic light use efficiency for plants with varying foliar nitrogen contents
    Trotter, CM
    Whitehead, D
    Pinkney, EJ
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (06) : 1207 - 1212
  • [44] The electrical signal-induced systemic photosynthetic response is accompanied by changes in the photochemical reflectance index in pea
    Sukhov, Vladimir
    Sukhova, Ekaterina
    Gromova, Ekaterina
    Surova, Lyubov
    Nerush, Vladimir
    Vodeneev, Vladimir
    [J]. FUNCTIONAL PLANT BIOLOGY, 2019, 46 (04) : 328 - 338
  • [45] Estimating photosynthetic light-use efficiency using the photochemical reflectance index: variations among species
    Guo, JM
    Trotter, CM
    [J]. FUNCTIONAL PLANT BIOLOGY, 2004, 31 (03) : 255 - 265
  • [46] Corrected photochemical reflectance index (PRI) is an effective tool for detecting environmental stresses in agricultural crops under light conditions
    Kaori Kohzuma
    Maro Tamaki
    Kouki Hikosaka
    [J]. Journal of Plant Research, 2021, 134 : 683 - 694
  • [47] Use of thermal imaging and the photochemical reflectance index (PRI) to detect wheat response to elevated CO2 and drought
    Mulero, Gabriel
    Jiang, Duo
    Bonfil, David J.
    Helman, David
    [J]. PLANT CELL AND ENVIRONMENT, 2023, 46 (01): : 76 - 92
  • [48] Corrected photochemical reflectance index (PRI) is an effective tool for detecting environmental stresses in agricultural crops under light conditions
    Kohzuma, Kaori
    Tamaki, Maro
    Hikosaka, Kouki
    [J]. JOURNAL OF PLANT RESEARCH, 2021, 134 (04) : 683 - 694
  • [49] Accuracy Assessment of Photochemical Reflectance Index (PRI) and Chlorophyll Carotenoid Index (CCI) Derived from GCOM-C/SGLI with In Situ Data
    Sasagawa, Taiga
    Akitsu, Tomoko Kawaguchi
    Ide, Reiko
    Takagi, Kentaro
    Takanashi, Satoru
    Nakaji, Tatsuro
    Nasahara, Kenlo Nishida
    [J]. REMOTE SENSING, 2022, 14 (21)
  • [50] Canopy-Level Photochemical Reflectance Index from Hyperspectral Remote Sensing and Leaf-Level Non-Photochemical Quenching as Early Indicators of Water Stress in Maize
    Chou, Shuren
    Chen, Jing M.
    Yu, Hua
    Chen, Bin
    Zhang, Xiuying
    Croft, Holly
    Khalid, Shoaib
    Li, Meng
    Shi, Qin
    [J]. REMOTE SENSING, 2017, 9 (08) : 1 - 17