HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in ISI Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (15) Citing Articles via Google Scholar Google Scholar Articles by Carter, G. A. Articles by Spiering, B. A. Search for Related Content PubMed PubMed Citation Articles by Carter, G. A. Articles by Spiering, B. A. Agricola Articles by Carter, G. A. Articles by Spiering, B. A. Related Collections Ecosystem Management Remote Sensing Nutrient Management Plant Analysis Plant and Environment Interactions

Optical Properties of Intact Leaves for Estimating Chlorophyll Concentration

Earth Science Applications Directorate, National Aeronautics and Space Administration, Stennis Space Center, MS 39529

View larger version (34K): [in a new window]   Fig. 1. Coefficient of determination (r2) versus wavelength () for relationships of leaf total chlorophyll (a + b) concentration with leaf reflectance (R), transmittance (T), and absorptance (A). Regressions were based on linear or quadratic models as indicated atop the figure and data combined among the four planar-leaved species (168 samples).

View larger version (32K): [in a new window]   Fig. 2. Coefficient of determination (r2) versus denominator wavelength () for relationships of leaf total chlorophyll (a + b) concentration with leaf reflectance (R), transmittance (T), and absorptance (A) band ratios. Regressions were based on linear or quadratic models as indicated atop the figure and data combined among the four planar-leaved species (168 samples). Ratios were computed by dividing R, T, or A at the best-fit indicated in Fig. 1 by R, T, or A, respectively, at each throughout the 400- to 850-nm spectrum. Where numerator and denominator were identical, ratio values remained at unity regardless of chlorophyll concentration, yielding r2 = 0. These points were deleted from the figure to eliminate r2 = 0 spikes.

View larger version (36K): [in a new window]   Fig. 3. Coefficient of determination (r2) versus numerator wavelength () for relationships of leaf total chlorophyll (a + b) concentration with leaf reflectance (R), transmittance (T), and absorptance (A) band ratios. Regressions were based on linear or quadratic models as indicated atop the figure and data combined among the four planar-leaved species (168 samples). Ratios were computed by dividing R, T, or A at each by R or T at 850 nm, or A at 400 nm based on results in Fig. 2.

View larger version (46K): [in a new window]   Fig. 4. Best-fit regressions of leaf total chlorophyll (a + b) concentration versus leaf reflectance (R), transmittance (T), absorptance (A), and band ratios. Regressions were based on a power function as indicated atop the figure and data combined among the four planar-leaved species. Regression parameters, including the coefficient of determination (r2) and standard deviation of the estimate (s), are listed for each regression (168 samples).

View larger version (45K): [in a new window]   Fig. 5. Best-fit regressions of leaf chlorophyll a and chlorophyll b concentrations versus leaf reflectance (R), transmittance (T), and absorptance (A) band ratios. Regressions were based on a power function as indicated atop the figure and data combined among the four planar-leaved species. Regression parameters, including the coefficient of determination (r2) and standard deviation of the estimate (s), are listed for each regression (168 samples).

View larger version (49K): [in a new window]   Fig. 6. Best-fit regressions in the far-red spectrum of leaf total chlorophyll (a + b) concentration versus leaf reflectance (R), transmittance (T), and absorptance (A) band ratios for each species. Regressions were based on the power function y = a + bxc. Regression parameters, including the coefficient of determination (r2) and standard deviation of the estimate (s), are listed for each regression along with the wavelength () for the numerator (42 samples per species).