Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery

Zhang, Yongqin; Chen, Jing M.; Miller, John R.; Noland, Thomas L.

doi:10.1016/j.rse.2008.04.005

Cited by 187 publications

(118 citation statements)

References 75 publications

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“…The pigment levels reported in this study agree well with the results found in previous work (Zhang et al 2008) investigating leaf pigment content in aspen in southern Ontario using the PROSAIL model. A comparison between field methods and remote sensing data showed leaf chlorophyll contents between 27.2 and 43.4 lg cm -2 (Zhang et al 2007).…”

Section: Discussionsupporting

confidence: 90%

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

et al. 2011

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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 sunobserver 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 fluxtower-based networks.

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Section: Discussionsupporting

confidence: 90%

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

et al. 2011

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“…Curran et al, 1990;Carter and Knapp, 2001). Quantitative estimates of leaf chlorophyll content from remote sensing platforms can provide a useful means of assessing vegetation stress induced by bio-control agents (Zhang et al, 2008).…”

Section: Remote Sensing Chlorophyll Contentmentioning

confidence: 99%

“…However, chlorophyll indices are generally species specific as the size, shape, surface and internal structure of the leaves vary from one plant species to another (Zhang et al, 2008). Ideally, the goal for researchers would be to develop vegetation indices that are not only as sensitive as possible to the desired parameter, but also robust across plant species and leaf structures (Main et al, 2011).…”

Section: Remote Sensing Chlorophyll Contentmentioning

confidence: 99%

“…Ideally, the goal for researchers would be to develop vegetation indices that are not only as sensitive as possible to the desired parameter, but also robust across plant species and leaf structures (Main et al, 2011). Inorder to improve the robustness and generality of chlorophyll indices it is important to test their performance over a range of species (Zhang et al, 2008). Main et al (2011) assessed the robustness of 73 published chlorophyll spectral indices using leaf level hyperspectral data collected from three crop species and a variety of savannah tree species.…”

Section: Remote Sensing Chlorophyll Contentmentioning

confidence: 99%

“…The authors identified two red-edge derivative based indices (red-edge position via linear extrapolation index and the modified red-edge inflection point index) that were the most consistent and robust. Despite their applicability, the performance of spectral indices would need to be assessed and calibrated when applied to specific AIAP species under bio-control at the leaf, canopy and airborne level (Zhang et al, 2008). Wu et al (2010) evaluated the potential of chlorophyll content estimation using spaceborne EO- ).…”

Section: Remote Sensing Chlorophyll Contentmentioning

confidence: 99%

See 2 more Smart Citations

Remote sensing bio-control damage on aquatic invasive alien plant species

Agjee¹,

Mutanga²,

Ismail³

2015

SA J of Geomatics

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Seasonal controls of canopy chlorophyll content on forest carbon uptake: Implications for GPP modeling

et al. 2015

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Forested ecosystems represent an important part of the global carbon cycle, with accurate estimates of gross primary productivity (GPP) crucial for understanding ecosystem response to environmental controls and improving global carbon models. This research investigated the relationships between leaf area index (LAI) and leaf chlorophyll content (Chl Leaf ) with forest carbon uptake. Ground measurements of LAI and Chl Leaf were taken approximately every 9 days across the 2013 growing season from day of year (DOY) 130 to 290 at Borden Forest, Ontario. These biophysical measurements were supported by on-site eddy covariance flux measurements. Differences in the temporal development of LAI and Chl Leaf were considerable, with LAI reaching maximum values within approximately 10 days of bud burst at DOY 141. In contrast, Chl Leaf accumulation only reached maximum values at DOY 182. This divergence has important implications for GPP models which use LAI to represent the fraction of light absorbed by a canopy (fraction of absorbed photosynthetic active radiation (fAPAR)). Daily GPP values showed the strongest relationship with canopy chlorophyll content (Chl Canopy ; R 2 = 0.69, p < 0.001), with the LAI and GPP relationship displaying nonlinearity at the start and end of the growing season (R 2 = 0.55, p < 0.001). Modeled GPP derived from LAI × PAR and Chl Canopy × PAR was tested against measured GPP, giving R 2 = 0.63, p < 0.001 and R 2 = 0.82, p < 0.001, respectively. This work demonstrates the importance of considering canopy pigment status in deciduous forests, with models that use fAPAR LAI rather than fAPAR Chl neglecting to account for the importance of leaf photosynthetic potential.

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Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery

Cited by 187 publications

References 75 publications

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

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

Remote sensing bio-control damage on aquatic invasive alien plant species

Seasonal controls of canopy chlorophyll content on forest carbon uptake: Implications for GPP modeling

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