Remote estimation of chlorophyll content in higher plant leaves

A. A. Gitelson, M. N. Merzlyak

Research output: Contribution to journalArticlepeer-review

529 Scopus citations


Indices for the non-destructive estimation of chlorophyll content were formulated using various instruments to measure reflectance and absorption spectra in visible and near-infrared ranges, as well as chlorophyll contents from several non-related species from different climatic regions. The proposed new algorithms are simple ratios between percentage reflectance at spectral regions that are highly sensitive (540 to 630nm and around 700nm) and insensitive (nearinfrared) to variations in chlorophyll content: R NIR / R 700 and R NIR / R 550. The developed algorithms predicting leaf chemistry from the leaf optics were validated for nine plant species in the range of chlorophyll content from 0.27 to 62.9mug cm -2. An error of less than 4.2 mugcm -2 in chlorophyll prediction was achieved. The use of green and red (near 700nm) channels increases the sensitivity of NDVI to chlorophyll content by about five-fold.

Original languageEnglish (US)
Pages (from-to)2691-2697
Number of pages7
JournalInternational Journal of Remote Sensing
Issue number12
StatePublished - Aug 1 1997

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)


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