Novel technique for remote estimation of CO₂ flux in maize

Authors

Anatoly A. Gitelson, University of Nebraska at LincolnFollow
Shashi B. Verma, University of Nebraska - LincolnFollow
Andrés Viña, University of Nebraska-Lincoln
Donald C. Rundquist, University of Nebraska - LincolnFollow
Galina P. Keydan, University of Nebraska - LincolnFollow
Bryan Leavitt, University of Nebraska-LincolnFollow
Timothy J. Arkebauer, University of Nebraska - LincolnFollow
George G. Burba, University of Nebraska-LincolnFollow
Andrew E. Suyker, University of Nebraska - LincolnFollow

Date of this Version

2003

Comments

Published in GEOPHYSICAL RESEARCH LETTERS, VOL. 30, NO. 9, 1486, doi:10.1029/2002GL016543, 2003. Copyright © 2003 by the American Geophysical Union

Abstract

There is considerable interest in assessing the magnitude of carbon sources and sinks for agricultural lands, grasslands, and forests. In this paper, we propose a novel technique to remotely assess CO₂ fluxes in maize using reflectances (ρ) in two spectral channels either in the green around 550 nm or in the red edge near 700 nm and the NIR (beyond 750 nm). Differences of reciprocal reflectances [(ρ_Green)^-1 - (ρ_NIR)^-1] and [(ρ_RedEdge)^-1- (ρ_NIR)^-1] accounted for more than 90 percent of the variability in mid-day canopy photosynthesis of irrigated maize. The technique was validated by an independent data set; root mean square error in predicting mid-day canopy photosynthesis by [(ρ_RedEdge)^-1 - (ρ_NIR)^-1 was 0.17 mg/ m²/s and 0.2 mg/m²/s by [(ρ_Green)^-1 - (ρ_NIR)^-1].