Paper
12 August 2010 Remote sensing of leaf chlorophyll content at multiple scales using red, green, and blue bands
E. Raymond Hunt Jr., Daniel S. Long, Jan U. H. Eitel, C. S. T. Daughtry
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Raymond Hunt Jr., Daniel S. Long, Jan U. H. Eitel, and C. S. T. Daughtry "Remote sensing of leaf chlorophyll content at multiple scales using red, green, and blue bands", Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 780902 (12 August 2010); https://doi.org/10.1117/12.859142
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Nitrogen

Digital cameras

Remote sensing

Sensors

Spectrometers

Agriculture

Back to Top