Remote estimation of leaf area index and green leaf biomass in maize canopies

Anatoly A. Gitelson, Andrés Vina, Timothy J. Arkebauer, Donald C. Rundquist, Galina Keydan, Bryan Leavitt

Research output: Contribution to journalArticle

252 Scopus citations


Leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other diverse studies. Remote sensing provides a considerable potential for estimating LAI at local to regional and global scales. Several spectral vegetation indices have been proposed, but their capacity to estimate LAI is highly reduced at moderate-to-high LAI. In this paper, we propose a technique to estimate LAI and green leaf biomass remotely using reflectances in two spectral channels either in the green around 550 nm, or at the red edge near 700 nm, and in the NIR (beyond 750 nm). The technique was tested in agricultural fields under a maize canopy, and proved suitable for accurate estimation of LAI ranging from 0 to more than 6.

Original languageEnglish (US)
Pages (from-to)52-51
Number of pages2
JournalGeophysical Research Letters
Issue number5
StatePublished - Mar 1 2003


ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

Cite this

Gitelson, A. A., Vina, A., Arkebauer, T. J., Rundquist, D. C., Keydan, G., & Leavitt, B. (2003). Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophysical Research Letters, 30(5), 52-51.