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John A. Gamon

Researcher at University of Nebraska–Lincoln

Publications -  159
Citations -  21374

John A. Gamon is an academic researcher from University of Nebraska–Lincoln. The author has contributed to research in topics: Normalized Difference Vegetation Index & Photochemical Reflectance Index. The author has an hindex of 59, co-authored 146 publications receiving 18489 citations. Previous affiliations of John A. Gamon include University of California, Davis & California State University, Los Angeles.

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Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages

TL;DR: Developing spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration are developed.
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A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency

TL;DR: In this article, the authors presented a new "physiological reflectance index" (PRI) isolated from narrow waveband spectral measurements of sunflower canopies, which correlates with the epoxidation state of the xanthophyll cycle pigments.
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The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels.

TL;DR: The results of this study support the use of PRI as an interspecific index of photosynthetic radiation use efficiency for leaves and canopies in full sun, but not across wide ranges in illumination from deep shade to full sun.
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Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types

TL;DR: The results support the use of these vegetation indices as remote indicators of PAR absorption, and thus potential photosynthetic activity, even in heterogeneous landscapes.
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Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves☆

TL;DR: The results illustrate the promise of narrow-band spectroradiometry for assessing the physiological state of vegetation and provide better physiological information than NDVI.