Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.
Multispectral Image Analysis for Phosphorus Measurement in Bahia Grass
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: 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.(Download PDF) (Export to EndNotes)