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United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Using reflectance measurements to determine light use efficiency in corn

Authors
item Huemmrich, K - UNIV OF MD BALTIMORE CTY
item Corp, L - SSAI
item Russ, Andrew
item Middleton, E - NASA GSFC
item Kustas, William
item Prueger, John
item Cheng, Y - NASA GSFC

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: July 5, 2008
Publication Date: November 20, 2008
Citation: Huemmrich, K.F., Corp, L., Russ, A.L., Middleton, E., Kustas, W.P., Prueger, J.H., Cheng, Y. 2008. Using reflectance measurements to determine light use efficiency in corn. In: Proceedings of the International Geoscience and Remote Sensing Symposium, July 7-11, 2008, Boston, Massachusetts. IV:632-634. 2008 CDROM.

Technical Abstract: This study examines the ability of narrow band vegetation indexes to detect spectral changes associated with stress and relate them to light use efficiency (LUE) over the course of a day as well as through the growing season. In a corn field in Beltsville, MD, carbon flux measurements were made at a flux tower using eddy covariance techniques. At this site on six days during the 2007 growing season hyperspectral reflectance measurements were collected at hourly intervals. LUE was determined at the time of the reflectance measurements from carbon fluxes measured at the flux tower. The measured LUE values were compared with a number of spectral indices that have been shown to be related to a number of leaf characteristics including: the status of the xanthophyll cycle; solar induced fluorescence; leaf water content; and concentrations of pigments such as chlorophyll, carotenoids, and anthocyanins. We found that several of these indices provide good estimates of both diurnal and seasonal LUE variability.

Last Modified: 10/21/2014
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