Share Email Print

Proceedings Paper

Remote measurement of dark-green canopy chlorophyll concentration by directional reflectance spectra
Author(s): Andrea Maccioni; Giovanni Agati; Piero Mazzinghi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present a simple algorithm to predict canopy chlorophyll content from directional reflectance spectra. The purpose is the compensation of the branches, soil and multiple reflection effect in the reflectance in order to obtain the single leaf spectra that are more closely correlated with chlorophyll content, as already assessed in literature. The analysis is limited to leaves with a chlorophyll content higher than 25-30 µg/cm2 since we verified that their spectra are little affected by multiple leaf reflection in the green spectral region, where the leaf reflectance is mostly dependent on chlorophyll concentration. In order to understand better the nature of the canopy reflectance, we measured the reflectance spectrum of both single and multiple leaves of two kinds of plants (Pittosporum tobira and Nerium oleander), of some branches and of some brown soil. Finally, we developed an algorithm able to translate the canopy reflectance to the single leaf level. We tried the algorithm on a canopy of Pittosporum. We found that it was able to retrieve the true chlorophyll content with an error ~ 10%.

Paper Details

Date Published: 23 January 2001
PDF: 12 pages
Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413957
Show Author Affiliations
Andrea Maccioni, Istituto di Elettronica Quantistica (Italy)
Giovanni Agati, Istituto di Elettronica Quantistica (Italy)
Piero Mazzinghi, Istituto Nazionale di Ottica Applicata (Italy)

Published in SPIE Proceedings Vol. 4171:
Remote Sensing for Agriculture, Ecosystems, and Hydrology II
Manfred Owe; Guido D'Urso; Eugenio Zilioli, Editor(s)

© SPIE. Terms of Use
Back to Top