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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 [(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.
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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