Research Papers

Spectral indices to monitor nitrogen-driven carbon uptake in field corn

[+] Author Affiliations
Lawrence A. Corp

Sigma Space Corporation, NASA GSFC, 4400 Lottsford Vista Road, Lanham, Maryland 20706

Elizabeth M. Middleton

NASA/GSFC, Biospheric Sciences Branch, Greenbelt, Maryland 20771

Petya E. Campbell, K. Fred Huemmrich

University of Maryland Baltimore County, Joint Center for Earth Systems Technology, Baltimore, Maryland 21250

Craig S. Daughtry

USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, Maryland 20705

Andrew Russ

USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, 10300 Baltimore Avenue, Beltsville, Maryland 20705

Yen-Ben Cheng

Earth Resources Technology Inc., Annapolis Junction, Maryland 20701

J. Appl. Remote Sens. 4(1), 043555 (November 1, 2010). doi:10.1117/1.3518455
History: Received February 26, 2010; Revised October 22, 2010; Accepted October 27, 2010; November 1, 2010; Online November 01, 2010
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Abstract

Climate change is heavily impacted by changing vegetation cover and productivity with large scale monitoring of vegetation only possible with remote sensing techniques. The goal of this effort was to evaluate existing reflectance (R) spectroscopic methods for determining vegetation parameters related to photosynthetic function and carbon (C) dynamics in plants. Since nitrogen (N) is a key constituent of photosynthetic pigments and C fixing enzymes, biological C sequestration is regulated in part by N availability. Spectral R information was obtained from field corn grown at four N application rates (0, 70, 140, 280 kg N/ha). A hierarchy of spectral observations were obtained: leaf and canopy with a spectral radiometer; aircraft with the AISA sensor; and satellite with EO-1 Hyperion. A number of spectral R indices were calculated from these hyperspectral observations and compared to geo-located biophysical measures of plant growth and physiological condition. Top performing indices included the R derivative index D730/D705 and the normalized difference of R750 vs. R705 (ND705), both of which differentiated three of the four N fertilization rates at multiple observation levels and yielded high correlations to these carbon parameters: light use efficiency (LUE); C:N ratio; and crop grain yield. These results advocate the use of hyperspectral sensors for remotely monitoring carbon cycle dynamics in managed terrestrial ecosystems.

© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

Carbon ; Nitrogen

Citation

Lawrence A. Corp ; Elizabeth M. Middleton ; Petya E. Campbell ; K. Fred Huemmrich ; Craig S. Daughtry, et al.
"Spectral indices to monitor nitrogen-driven carbon uptake in field corn", J. Appl. Remote Sens. 4(1), 043555 (November 1, 2010). ; http://dx.doi.org/10.1117/1.3518455


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