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Tracking plant physiological properties from multi-angular tower-based remote sensing

Tracking plant physiological properties from multi-angular tower-based remote sensing
Tracking plant physiological properties from multi-angular tower-based remote sensing
Imaging spectroscopy is a powerful technique for monitoring the biochemical constituents of vegetation and is critical for understanding the fluxes of carbon and water between the land surface and the atmosphere. However, spectral observations are subject to the sun-observer geometry and canopy structure which impose confounding effects on spectral estimates of leaf pigments. For instance, the sun-observer geometry influences the spectral brightness measured by the sensor. Likewise, when considering pigment distribution at the stand level scale, the pigment content observed from single view angles may not necessarily be representative of stand-level conditions as some constituents vary as a function of the degree of leaf illumination and are therefore not isotropic. As an alternative to mono-angle observations, multi-angular remote sensing can describe the anisotropy of surface reflectance and yield accurate information on canopy structure. These observations can also be used to describe the bi-directional reflectance distribution which then allows the modeling of reflectance independently of the observation geometry. In this paper, we demonstrate a method for estimating pigment contents of chlorophyll and carotenoids continuously over a year from tower-based, multi-angular spectro-radiometer observations. Estimates of chlorophyll and carotenoid content were derived at two flux-tower sites in western Canada. Pigment contents derived from inversion of a CR model (PROSAIL) compared well to those estimated using a semi-analytical approach (r(2) = 0.90 and r(2) = 0.69, P < 0.05 for both sites, respectively). Analysis of the seasonal dynamics indicated that net ecosystem productivity was strongly related to total canopy chlorophyll content at the deciduous site (r(2) = 0.70, P < 0.001), but not at the coniferous site. Similarly, spectral estimates of photosynthetic light-use efficiency showed strong seasonal patterns in the deciduous stand, but not in conifers. We conclude that multi-angular, spectral observations can play a key role in explaining seasonal dynamics of fluxes of carbon and water and provide a valuable addition to flux-tower-based networks.
0029-8549
865-876
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Gitelson, Anatoly
98ff12d9-87b2-47fa-b093-5ffd82e22117
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Hall, Forrest G.
19da6ee8-b54b-4eee-b5b6-e8e3a92f6bcf
Black, T. Andrew
f6187e30-d043-4094-b5ef-372c60de403b
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Gitelson, Anatoly
98ff12d9-87b2-47fa-b093-5ffd82e22117
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Hall, Forrest G.
19da6ee8-b54b-4eee-b5b6-e8e3a92f6bcf
Black, T. Andrew
f6187e30-d043-4094-b5ef-372c60de403b

Hilker, Thomas, Gitelson, Anatoly, Coops, Nicholas C., Hall, Forrest G. and Black, T. Andrew (2011) Tracking plant physiological properties from multi-angular tower-based remote sensing. Oecologia, 165 (4), 865-876. (doi:10.1007/s00442-010-1901-0). (PMID:21221647)

Record type: Article

Abstract

Imaging spectroscopy is a powerful technique for monitoring the biochemical constituents of vegetation and is critical for understanding the fluxes of carbon and water between the land surface and the atmosphere. However, spectral observations are subject to the sun-observer geometry and canopy structure which impose confounding effects on spectral estimates of leaf pigments. For instance, the sun-observer geometry influences the spectral brightness measured by the sensor. Likewise, when considering pigment distribution at the stand level scale, the pigment content observed from single view angles may not necessarily be representative of stand-level conditions as some constituents vary as a function of the degree of leaf illumination and are therefore not isotropic. As an alternative to mono-angle observations, multi-angular remote sensing can describe the anisotropy of surface reflectance and yield accurate information on canopy structure. These observations can also be used to describe the bi-directional reflectance distribution which then allows the modeling of reflectance independently of the observation geometry. In this paper, we demonstrate a method for estimating pigment contents of chlorophyll and carotenoids continuously over a year from tower-based, multi-angular spectro-radiometer observations. Estimates of chlorophyll and carotenoid content were derived at two flux-tower sites in western Canada. Pigment contents derived from inversion of a CR model (PROSAIL) compared well to those estimated using a semi-analytical approach (r(2) = 0.90 and r(2) = 0.69, P < 0.05 for both sites, respectively). Analysis of the seasonal dynamics indicated that net ecosystem productivity was strongly related to total canopy chlorophyll content at the deciduous site (r(2) = 0.70, P < 0.001), but not at the coniferous site. Similarly, spectral estimates of photosynthetic light-use efficiency showed strong seasonal patterns in the deciduous stand, but not in conifers. We conclude that multi-angular, spectral observations can play a key role in explaining seasonal dynamics of fluxes of carbon and water and provide a valuable addition to flux-tower-based networks.

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Published date: April 2011
Organisations: Earth Surface Dynamics

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Local EPrints ID: 384706
URI: http://eprints.soton.ac.uk/id/eprint/384706
ISSN: 0029-8549
PURE UUID: 5fb383ef-1af0-423f-926c-ea3c6b1a1173

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Date deposited: 15 Apr 2016 15:59
Last modified: 14 Mar 2024 22:03

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Contributors

Author: Thomas Hilker
Author: Anatoly Gitelson
Author: Nicholas C. Coops
Author: Forrest G. Hall
Author: T. Andrew Black

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