Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure

Sun-induced fluorescence (SIF) has been proven to serve as a proxy of photosynthesis activity and therefore, as an early indicator of physiological alterations for global monitoring of vegetation. However, the interpretation of SIF over different spatial resolutions is critical to bridge the existin...

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Bibliographic Details
Published in:Remote sensing of environment 2017-05, Vol.193, p.165-179
Main Authors: Hernández-Clemente, R., North, P.R.J., Hornero, A., Zarco-Tejada, P.J.
Format: Article
Language:English
Subjects:
Canopies
Canopy gaps
Chlorophyll
Chlorophyll content
Computer simulation
Disease detection
Epoxidation
Experiments
Fluorescence
Forest dieback
Forest effects
Forests
Hyperspectral
Image resolution
Imagery
Infections
Leaf area
Leaf area index
Leaves
Masking
Missions
Oak
Oak forest
Photosynthesis
Physiology
Phytophthora
Phytophthora infection
Pixels
Quercus ilex
Radiance
Radiative transfer
Reflectance
RTM
Shadows
SIF
Spatial discrimination
Spatial resolution
Spectral bands
Stress detection
Sun
Three dimensional models
Trees
Vegetation
Water potential
Water stress
Xanthophylls
Xylem
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Summary:Sun-induced fluorescence (SIF) has been proven to serve as a proxy of photosynthesis activity and therefore, as an early indicator of physiological alterations for global monitoring of vegetation. However, the interpretation of SIF over different spatial resolutions is critical to bridge the existing gap between local and global scales. This study provides insight into the influence of scene components, and forest structure and composition on the quantification of the red and far-red fluorescence signal as an early indicator of forest decline. The experiments were conducted over an oak forest (Quercus ilex) affected by water stress and Phytophthora infection in the southwest of Spain. SIF retrievals through the Fraunhofer Line Depth (FLD) principle with three spectral bands F (FLD3) was assessed using high resolution (60cm) hyperspectral imagery extracting sunlit crown, full crown and aggregated pixels. Results showed the link between F (FLD3) extracted from sunlit crown pixels and the tree physiological condition in this context of disease infection, yielding significant relationships (r2=0.57, p
ISSN:0034-4257
1879-0704
DOI:10.1016/j.rse.2017.02.012