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Novel technique for remote estimation of CO 2 flux in maize
Author(s) -
Gitelson Anatoly A.,
Verma Shashi B.,
Viña Andrés,
Rundquist Donald C.,
Keydan Galina,
Leavitt Bryan,
Arkebauer Timothy J.,
Burba George G.,
Suyker Andrew E.
Publication year - 2003
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2002gl016543
Subject(s) - canopy , environmental science , photosynthesis , remote sensing , flux (metallurgy) , carbon sink , red edge , mean squared error , atmospheric sciences , agronomy , mathematics , materials science , geology , botany , biology , ecology , ecosystem , statistics , metallurgy
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 CO 2 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/m 2 /s and 0.2 mg/m 2 /s by [(ρ Green ) −1 − (ρ NIR ) −1 ].