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Generic Algorithms for Estimating Foliar Pigment Content
Author(s) -
Gitelson Anatoly,
Solovchenko Alexei
Publication year - 2017
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2017gl074799
Subject(s) - photosynthetically active radiation , red edge , algorithm , pigment , satellite , remote sensing , photosynthesis , mean squared error , vegetation (pathology) , chlorophyll , photosynthetic pigment , reflectivity , environmental science , chlorophyll a , near infrared spectroscopy , computer science , biological system , botany , mathematics , optics , biology , chemistry , physics , geology , statistics , organic chemistry , medicine , pathology , astronomy
Foliar pigment contents and composition are main factors governing absorbed photosynthetically active radiation, photosynthetic activity, and physiological status of vegetation. In this study the performance of nondestructive techniques based on leaf reflectance were tested for estimating chlorophyll (Chl) and anthocyanin (AnC) contents in species with widely variable leaf structure, pigment content, and composition. Only three spectral bands (green, red edge, and near‐infrared) are required for nondestructive Chl and AnC estimation with normalized root‐mean‐square error (NRMSE) below 4.5% and 6.1%, respectively. The algorithms developed are generic, not requiring reparameterization for each species allowing for accurate nondestructive Chl and AnC estimation using simple handheld field/lab instrumentation. They also have potential in interpretation of airborne and satellite data.