DocumentCode :
2944245
Title :
Optical reflectance and fluorescence for detecting nitrogen needs in Zea mays L
Author :
McMurtrey, J.E. ; Middleton, E.M. ; Corp, L.A. ; Campbell, P. K Entcheva ; Butcher, L.M. ; Daughtry, C.S.T.
Author_Institution :
Hydrology & Remote Sensing Lab., USDA, Beltsville, MD, USA
Volume :
7
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
4602
Abstract :
Nitrogen (N) status in field grown corn (Zea mays L.) was assessed using spectral techniques. Passive airborne hyperspectral reflectance remote sensing, passive leaf level reflectance, and both passive and active leaf level fluorescence sensing methods were tested. Reflectance of leaves could track total Cha levels in the red dip of the spectrum and auxiliary plant pigments of Chb and carotenoids in the yellow/orange/red edge reflectance. Based on leaf level reflectance behavior, a modified chlorophyll absorption reflectance index (MCARI) method was tested with narrow bands from the Airborne Imaging Spectroradiometer for Applications. MCARI indices could detect variations in N levels across field plots. At the leaf level, ratios of fluorescence emissions in the blue, green, red and far-red wavelengths sensed responses that were associated with the plant pigments, and were indicative of energy transfer in the photosynthetic process. Fluorescence emissions of leaves could distinguish N stressed corn from those with optimally applied N. Reflectance and fluorescence methods are sensitive in detecting corn N needs and may be especially powerful in monitoring crop conditions if both types of information can be combined.
Keywords :
fluorescence; photosynthesis; radiometry; reflectivity; vegetation mapping; Zea mays L; active leaf level fluorescence sensing methods; airborne imaging spectroradiometer; auxiliary plant pigments; carotenoids; chlorophyll absorption reflectance index; chlorophyll levels; corn; crop conditions; energy transfer; field plots; green wavelength; maize; nitrogen needs; optical reflectance; passive airborne hyperspectral reflectance remote sensing; passive leaf level reflectance; photosynthetic process; red edge reflectance; red wavelength; spectral techniques; Fluorescence; Hyperspectral imaging; Hyperspectral sensors; Image edge detection; Nitrogen; Optical sensors; Pigments; Reflectivity; Remote sensing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1295594
Filename :
1295594
Link To Document :
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