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Proceedings Paper

Remote sensing of leaf chlorophyll content at multiple scales using red, green, and blue bands
Author(s): E. Raymond Hunt; Daniel S. Long; Jan U. H. Eitel; C. S. T. Daughtry
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Paper Abstract

Leaf chlorophyll content is an important variable for agricultural remote sensing because of its close relationship to leaf nitrogen content. We propose a triangular greenness index (TGI), which calculates the area of a triangle with three points: (λr, Rr), (λg, Rg), and (λb, Rb). TGI was correlated with chlorophyll content using a variety of leaf and plot reflectance data. However, indices using the chlorophyll red-edge (710-730 nm) generally had higher correlations. With broad bands, TGI had higher correlations than other indices at leaf and canopy scales. Simulations using a canopy reflectance model indicate an interaction among TGI, leaf area index (LAI) and soil type at low crop LAI, whereas at high crop LAI, TGI was only affected by leaf chlorophyll content. Excess nitrogen fertilizer causes numerous environmental problems, nitrogen management using remote sensing will help balance fertilizer applications with crop nitrogen requirements.

Paper Details

Date Published: 12 August 2010
PDF: 6 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 780902 (12 August 2010); doi: 10.1117/12.859142
Show Author Affiliations
E. Raymond Hunt, USDA Agricultural Research Service (United States)
Daniel S. Long, USDA Agricultural Research Service (United States)
Jan U. H. Eitel, Univ. of Idaho (United States)
C. S. T. Daughtry, USDA Agricultural Research Service (United States)

Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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