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AGU: Geophysical Research Letters

 

Index Terms

  • Global Change: Remote sensing
  • Global Change: Biogeochemical processes
  • Global Change: Instruments and techniques

Abstract

Novel technique for remote estimation of CO2 flux in maize

Anatoly A. Gitelson

Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Shashi B. Verma

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Andrés Viña

Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Donald C. Rundquist

Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Galina Keydan

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Bryan Leavitt

Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Timothy J. Arkebauer

Department of Agronomy, University of Nebraska-Lincoln, Lincoln, Nebraska, USA

George G. Burba

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Andrew E. Suyker

School of Natural Resource Sciences (SNRS), University of Nebraska-Lincoln, Lincoln, Nebraska, USA

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 [(ρGreen)−1 − (ρNIR)−1] and [(ρRedEdge)−1 − (ρNIR)−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 [(ρRedEdge)−1 − (ρNIR)−1] was 0.17 mg/m2/s and 0.2 mg/m2/s by [(ρGreen)−1 − (ρNIR)−1].

Published 13 May 2003.

Citation: Gitelson, A. A., S. B. Verma, A. Viña, D. C. Rundquist, G. Keydan, B. Leavitt, T. J. Arkebauer, G. G. Burba, and A. E. Suyker (2003), Novel technique for remote estimation of CO2 flux in maize, Geophys. Res. Lett., 30(9), 1486, doi:10.1029/2002GL016543.

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