HR: 13:55h
AN: NS33A-02    [Abstracts]
TI: Electrical Imaging of Infiltration in Agricultural Soils on Long Island, New York
AU: * Lampousis, A
EM: alampousis@gc.cuny.edu
AF: Department of Earth and Environmental Sciences, City College of New York and The Graduate School and University Center, City University of New York, 365 Fifth Avenue, New York, NY 10016-4309, United States
AU: Kenyon, P M
EM: pkenyon@sci.ccny.cuny.edu
AF: Department of Earth and Environmental Sciences, City College of New York and The Graduate School and University Center, City University of New York, 365 Fifth Avenue, New York, NY 10016-4309, United States
AU: Sanwald, K
EM: ks368@cornell.edu
AF: Cornell Cooperative Extension of Suffolk County, Extension Education Center, 423 Griffing Avenue, Suite 100, Riverhead, NY 11901-3071, United States
AU: Steiner, N
EM: nsteiner@gc.cuny.edu
AF: Department of Earth and Environmental Sciences, City College of New York and The Graduate School and University Center, City University of New York, 365 Fifth Avenue, New York, NY 10016-4309, United States
AB: High resolution electrical resistivity imaging of vadose zone infiltration experiments was conducted on agricultural soils by the City College and Graduate Center of CUNY, in cooperation with Cornell University's Agricultural Stewardship Program and Long Island Horticultural Research and Extension Center (LIHREC) in Riverhead, New York. Measurements were made in active vineyards with a commercial resistivity imaging system, using a half- meter electrode spacing. Soils considered were Riverhead sandy loam (RdA), Haven loam (HaA), and Bridgehampton silty loam (BgA). The Riverhead and Haven soils are the most common types found on eastern Long Island. The Bridgehampton is considered the most fertile. Soil samples and measurements of soil compaction were collected at the same time as the geophysical measurements. In addition, remote sensing data were obtained for the three sites and processed to produce normalized difference vegetation index (NDVI) data to evaluate potential correlations between vegetation vigor, soil texture and water migration patterns. Applications of this study include continuous water content monitoring in high value cash crops (precision agriculture). Changes in electrical resistivity during infiltration are clearly visible at all three locations. Preliminary analysis of the results shows correlations of baseline resistivity with particle size distributions and correlations between changes in resistivity during infiltration and soil compaction data. Time-lapse electrical images of the three sites will also be compared with published properties for these soils, including particle size distribution, saturated hydraulic conductivity, available water capacity, and surface texture.
DE: 1835 Hydrogeophysics
DE: 1838 Infiltration
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
DE: 1875 Vadose zone
SC: Near-Surface Geophysics [NS]
MN: 2007 Fall Meeting