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

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

Mar 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30e..52g&link_type=abstract

Geophysical Research Letters, Volume 30, Issue 5, pp. 52-1, CiteID 1248, DOI 10.1029/2002GL016450

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5

Global Change: Remote Sensing, Global Change: Instruments And Techniques, Global Change: General Or Miscellaneous

Scientific paper

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.

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