Investigation of leaf biochemistry by statistics
The biochemical content (total proteins, cellulose, lignin and starch) of about seventy plant leaves has been related to their optical properties through statistical relationships. Both fresh and dry plant material, leaves and needles, were used in this study. Stepwise multiple regression analyses have been performed on reflectance, transmittance and absorptance values (individual leaves) as well as on infinite reflectance values (stacked leaves and needles), on rough values and on transformations of them such as the first derivative or the logarithm of the inverse reflectance. They underscored good prediction performances for protein, cellulose and lignin with squared multiple correlation coefficients higher than 0.8 using ten wavelengths. The starch concentration in the leaf was smaller compared to the other components and was retrieved with less accuracy. As expected, dry material and optically thick samples provided respectively better results than fresh material and individual leaves.
Bibliographic Reference: Paper presented: IGARSS '94, Pasadena (US), August 8-12, 1994
Availability: Available from (1) as Paper EN 38442 ORA
Record Number: 199411069 / Last updated on: 1994-11-28
Original language: en
Available languages: en