scholarly journals Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration

2001 ◽  
Vol 88 (4) ◽  
pp. 677-684 ◽  
Author(s):  
Gregory A. Carter ◽  
Alan K. Knapp
Keyword(s):  
Optical Properties ◽  
Higher Plants ◽  
Spectral Characteristics ◽  
Chlorophyll Concentration ◽  
Leaf Optical Properties

scholarly journals Influence of lighting spectral characteristics on the lettuce leaf optical properties

2019 ◽  
Vol 1400 ◽  
pp. 033025
Author(s):  
T E Kuleshova ◽  
I N Chernousov ◽  
O R Udalova ◽  
Y V Khomyakov ◽  
A V Aleksandrov ◽  
...  
Keyword(s):  
Optical Properties ◽  
Spectral Characteristics ◽  
Leaf Optical Properties

scholarly journals Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020 ◽  
Vol 12 (2) ◽  
pp. 283 ◽  
Author(s):  
Leevi Annala ◽  
Eija Honkavaara ◽  
Sakari Tuominen ◽  
Ilkka Pölönen
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Stochastic Model ◽  
Convolutional Neural Network ◽  
Chlorophyll A ◽  
Chlorophyll Concentration ◽  
Remotely Sensed ◽  
Validation Dataset ◽  
Chlorophyll B ◽  
Leaf Optical Properties

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning validation dataset and calculating chlorophyll maps from empirical remotely sensed hyperspectral data and comparing them to TCARI OSAVI , an index that has strong negative correlation with chlorophyll concentration. With the validation dataset, coefficients of determination ( R 2 ) of 0.97 were obtained for chlorophyll a and 0.95 for chlorophyll b. The chlorophyll maps correlate with the TCARI OSAVI map. The correlation coefficient (R) is −0.87 for chlorophyll a and −0.68 for chlorophyll b in selected plots. These results indicate that the approach is highly promising approach for estimating vegetation chlorophyll content.

scholarly journals Plant ecophysiological processes in spectral profiles: perspective from a deciduous broadleaf forest

2021 ◽  
Author(s):  
Hibiki M. Noda ◽  
Hiroyuki Muraoka ◽  
Kenlo Nishida Nasahara
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Spectral Reflectance ◽  
Canopy Structure ◽  
Terrestrial Ecosystems ◽  
Optical Remote Sensing ◽  
Canopy Reflectance ◽  
Broadleaf Forest ◽  
Leaf Optical Properties ◽  
Deciduous Broadleaf Forest

AbstractThe need for progress in satellite remote sensing of terrestrial ecosystems is intensifying under climate change. Further progress in Earth observations of photosynthetic activity and primary production from local to global scales is fundamental to the analysis of the current status and changes in the photosynthetic productivity of terrestrial ecosystems. In this paper, we review plant ecophysiological processes affecting optical properties of the forest canopy which can be measured with optical remote sensing by Earth-observation satellites. Spectral reflectance measured by optical remote sensing is utilized to estimate the temporal and spatial variations in the canopy structure and primary productivity. Optical information reflects the physical characteristics of the targeted vegetation; to use this information efficiently, mechanistic understanding of the basic consequences of plant ecophysiological and optical properties is essential over broad scales, from single leaf to canopy and landscape. In theory, canopy spectral reflectance is regulated by leaf optical properties (reflectance and transmittance spectra) and canopy structure (geometrical distributions of leaf area and angle). In a deciduous broadleaf forest, our measurements and modeling analysis of leaf-level characteristics showed that seasonal changes in chlorophyll content and mesophyll structure of deciduous tree species lead to a seasonal change in leaf optical properties. The canopy reflectance spectrum of the deciduous forest also changes with season. In particular, canopy reflectance in the green region showed a unique pattern in the early growing season: green reflectance increased rapidly after leaf emergence and decreased rapidly after canopy closure. Our model simulation showed that the seasonal change in the leaf optical properties and leaf area index caused this pattern. Based on this understanding we discuss how we can gain ecophysiological information from satellite images at the landscape level. Finally, we discuss the challenges and opportunities of ecophysiological remote sensing by satellites.

scholarly journals An extended PROSPECT: Advance in the leaf optical properties model separating total chlorophylls into chlorophyll a and b

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yao Zhang ◽  
Jingfeng Huang ◽  
Fumin Wang ◽  
George Alan Blackburn ◽  
Hankui K. Zhang ◽  
...  
Keyword(s):  
Optical Properties ◽  
Chlorophyll A ◽  
Leaf Optical Properties ◽  
Chlorophyll A And B

FASPECT: A model of leaf optical properties accounting for the differences between upper and lower faces

2021 ◽  
Vol 253 ◽  
pp. 112205
Author(s):  
Jingyi Jiang ◽  
Alexis Comar ◽  
Marie Weiss ◽  
Frédéric Baret
Keyword(s):  
Optical Properties ◽  
Leaf Optical Properties

scholarly journals PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

2017 ◽  
Vol 193 ◽  
pp. 204-215 ◽  
Author(s):  
J.-B. Féret ◽  
A.A. Gitelson ◽  
S.D. Noble ◽  
S. Jacquemoud
Keyword(s):  
Optical Properties ◽  
Leaf Optical Properties

Calcium oxalate druses affect leaf optical properties in selenium-treated Fagopyrum tataricum

2018 ◽  
Vol 180 ◽  
pp. 51-55 ◽  
Author(s):  
Aleksandra Golob ◽  
Vekoslava Stibilj ◽  
Marijan Nečemer ◽  
Peter Kump ◽  
Ivan Kreft ◽  
...  
Keyword(s):  
Optical Properties ◽  
Calcium Oxalate ◽  
Fagopyrum Tataricum ◽  
Leaf Optical Properties

Combined Effects of Hemlock Woolly Adelgid (Adelges tsugae) Infestation and Treatment with Imidacloprid on Eastern Hemlock (Tsuga canadensis) Leaf Radiometry

2019 ◽  
Vol 117 (4) ◽  
pp. 340-350 ◽  
Author(s):  
Heath W Garris ◽  
Thomas H Settle ◽  
Jonathan E Crossman ◽  
Stephen J Grider ◽  
Shawnté L Michaels
Keyword(s):  
Optical Properties ◽  
Tsuga Canadensis ◽  
Hemlock Woolly Adelgid ◽  
Adelges Tsugae ◽  
Eastern Hemlock ◽  
Abiotic Stressors ◽  
Leaf Optical Properties ◽  
Photosynthetic Potential ◽  
And Control ◽  
Potential Efficiency

Abstract The neonicotinoid systemic insecticide imidacloprid has proven to be an effective treatment for the prevention and control of hemlock woolly adelgid (Adelges tsugae Annand) in southeastern populations of eastern hemlock (Tsuga canadensis L.). Recent studies have demonstrated that imidacloprid and A. tsugae both stimulate salicylic acid-dependent physiological responses in plant tissues responsible for plant defenses against pathogens, timing of developmental outcomes including flowering and leaf senescence, and resilience to abiotic stressors. We evaluated the interacting effects of A. tsugae presence/absence and treatment with imidacloprid on leaf optical properties indicative of photosynthetic potential, photosynthetic efficiency, and tissue senescence. Our results indicated that A. tsugae changes lower canopy leaf optical properties indicative of reduced photosynthetic potential/efficiency and accelerated senescence in mature leaves. Imidacloprid was associated with declines in photosynthetic potential and showed a largely similar, though less pronounced, effect on leaf spectral properties to that of A. tsugae.

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