Novel technique for remote estimation of CO2 flux in maize

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Read Full Article (file size: 154737 bytes) Cited by GEOPHYSICAL RESEARCH LETTERS, VOL. 30, NO. 9, 1486, doi:10.1029/2002GL016543, 2003 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 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]. Published 13 May 2003. Index Terms: 1640 Global Change: Remote sensing; 1615 Global Change: Biogeochemical processes (4805); 1694 Global Change: Instruments and techniques. Read Full Article (file size: 154737 bytes) Cited by 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. Copyright 2003 by the American Geophysical Union.

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