Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
Rocio Hernandez-Clemente, Rafael Maria Navarro-Cerrillo, Pablo J Zarco-Tejada
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2014
Recent studies have demonstrated that the R570/R515 index is highly sensitive to carotenoid (Cx + c) content in conifer forest canopies and is scarcely influenced by structural effects. However, validated methods for the prediction of leaf carotenoid content relationships in forest canopies are still needed to date. This paper focuses on the simultaneous retrieval of chlorophyll (Ca + b) and (Cx + c) pigments, which are critical bioindicators of plant physiological status. Radiative transfer theory and modeling assumptions were applied at both laboratory and field scales to develop methods for their concurrent estimation using high-resolution hyperspectral imagery. The proposed methodology w..View full abstract
Awarded by DIVERBOS
Awarded by Spanish Ministry of Science and Education (MEC)
This work was supported in part by DIVERBOS under Grant CGL2011-30285-C02-02, by the University of Cordoba-Campus de Excelencia (Campus de Excelencia Internacional Agroalimentario-CEIA3), and by the Spanish Ministry of Science and Education (MEC) through the AGL2009-13105 project.