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Multispectral Image Analysis for Phosphorus Measurement in Bahia Grass

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  051067,  2005 ASAE Annual Meeting . (doi: 10.13031/2013.19771) @2005
Authors:   Ismail Bogrekci, Won Suk Lee, Jonathan D. Jordan, John C. Craig
Keywords:   Bahia Grass, Image, Multispectral, Phosphorus, Phosphates, Reflectance, Sensor, Spectroscopy

Current phosphorus (P) measurement for vegetation samples requires sample collection, processing, and analysis in a laboratory. This method is time consuming, costly, labor intensive, and restricted to small area. Remote P sensing using multispectral imaging may contribute the rapid, inexpensive, and extensive measurement of P in terrestrial areas. An airborne multispectral image of Bahia grass (Paspalum notatum) in the Plant Science Research and Education Unit, Citra, Florida was acquired in order to study P concentration in vegetation with a spatial resolution of 0.14 m in four spectral bands (Red@610-660 nm, green@535-585 nm, blue@430-490 nm, and NIR@835-885 nm). A field trial was set up in the imaging site in order to obtain P calibration. This Plot had 24 subplots with different P concentration. P application rates were 0, 20, 40, 80, 120, and 160 lb/acre. Soil and Bahia grass samples were collected for six consecutive weeks. Reflectance of wet and dry soil and vegetation was measured in a laboratory using UV-VIS-NIR spectroscopy. Geometric and radiometric corrections were performed on the multispectral imagery, which was analyzed for the relationships with P concentration.

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