Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study

REMOTE SENSING OF ENVIRONMENT

卷:176

Article

Verrelst, Jochem¹  van der Tol, Christiaan²  Magnani, Federico³  Sabater, Neus¹  Pablo Rivera, Juan¹  Mohammed, Gina⁴  Moreno, Jose¹ 

[1] Univ Valencia, Dept Earth Phys & Thermodynam, Image Proc Lab, C Catedrat Jose Beltran 2, E-46980 Valencia, Spain

[2] Univ Twente, Fac ITC, Dept Water Resources, POB 217, NL-7500 AE Enschede, Netherlands

[3] Univ Bologna, Dept Agr Sci, Bologna, Italy

[4] P&M Technol, 66 Millwood St, Sault Ste Marie, ON, Canada

关键词: Sun-induced fluorescence;    Photosynthesis;    SCOPE;    Canopy;    Regression;    Band analysis;    FLEX;   

DOI  :  10.1016/j.rse.2016.01.018

来源: Elsevier

【 摘 要 】

Progress in imaging spectroscopy technology and data processing can enable derivation of the complete sun induced chlorophyll fluorescence (SIF) emission spectrum. This opens up opportunities to fully exploit the use of the SIF spectrum as an indicator of photosynthetic activity. Simulations performed with the coupled fluorescence-photosynthesis model SCOPE were used to determine how strongly canopy-leaving SIF can be related to net photosynthesis of the canopy (NPC) for various canopy configurations. Regression analysis between SIF retrievals and NPC values produced the following general findings: (1) individual SIF bands that were most sensitive to NPC were located around the first emission peak (SIFred) for heterogeneous canopy configurations (i.e., varying biochemistry, leaf, canopy variables); (2) using two SIF retrieval bands, e.g. O-2-B at 687 nm and O-2-A at 760 nm, or the red and NIR emission peaks at 685 nm and 740 nm, led to stronger correlations than using only one band; (3) using the O-2-B and the O-2-A SIF retrieval bands was at least as effective as using the two emission peaks; (4) superior correlations were achieved by using the four main SIF retrieval bands (H alpha, O-2-B, water vapor, O-2-A); and (5) further improvements may be obtained by exploiting the full SIF profile and by using an adaptive, nonlinear regression algorithm such as Gaussian processes regression (GPR). Relationships can be due to variation in photosynthetic capacity (V-cmo), but also from variation in leaf optical and canopy structural variables such as chlorophyll content and leaf area index. Overall, modeling results suggest that sampling the SIF profile in at least both O-2-B and O-2-A bands enables quantification photosynthetic activity of vegetation with high accuracy. (C) 2016 Elsevier Inc All rights reserved.

【 授权许可】

Free