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The MERIS terrestrial chlorophyll index

International Journal of Remote Sensing · 2004 · Vol. 25(23) · pp. 5403–5413
Jadunandan DashPaul J. Curran

Abstract

The long wavelength edge of the major chlorophyll absorption feature in the spectrum of a vegetation canopy moves to longer wavelengths with an increase in chlorophyll content. The position of this red-edge has been used successfully to estimate, by remote sensing, the chlorophyll content of vegetation canopies. Techniques used to estimate this red-edge position (REP) have been designed for use on small volumes of continuous spectral data rather than the large volumes of discontinuous spectral data recorded by contemporary satellite spectrometers. Also, each technique produces a different value of REP from the same spectral data and REP values are relatively insensitive to chlorophyll content at high values of chlorophyll content. This paper reports on the design and indirect evaluation of a surrogate REP index for use with spectral data recorded at the standard band settings of the Medium Resolution Imaging Spectrometer (MERIS). This index, termed the MERIS terrestrial chlorophyll index (MTCI), was evaluated using model spectra, field spectra and MERIS data. It was easy to calculate (and so can be automated), was correlated strongly with REP but unlike REP was sensitive to high values of chlorophyll content. As a result this index became an official MERIS level-2 product of the European Space Agency in March 2004. Further direct evaluation of the MTCI is proposed, using both greenhouse and field data.

Remote Sensing in AgricultureRemote Sensing and Land UseRemote-Sensing Image ClassificationRemote sensingRed edgeImaging spectrometerEnvironmental scienceChlorophyllCanopyVegetation (pathology)SpectrometerSpectral indexSpectral line

Funding

  • European Space Agency
  • Oak Ridge National Laboratory
Citations
1,122
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References
The red edge of plant leaf reflectance
International Journal of Remote Sensing · 1983 · 1,166 citations
Remote sensing of foliar chemistry
Remote Sensing of Environment · 1989 · 1,545 citations
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