HR: 16:05h
AN: NS34A-03    [Abstracts]
TI: The Integration of GPR, GIS, and GPS for 3D Soil Morphologic Models
AU: * Tischler, M
EM: michael.a.tischler@usace.erdc.army.mil
AF: U.S. Army Corps of Engineers, Engineering Research and Development Center, Topographic Engineering Center, 7701 Telegraph Rd Cude Building, Alexandria, VA 22315
AU: Collins, M E
EM: mecollins@ifas.ufl.edu
AF: University of Florida, 106 Newell Hall P.O. Box, 110510, Gainesville, FL 32611
AB: Ground-Penetrating Radar (GPR) has become a useful and efficient instrument for gathering information about subsurface diagnostic horizons in Florida soils. Geographic Information Systems (GIS) are a popular and valuable tool for spatial data analysis of real world features in a digital environment. Ground-Penetrating Radar can be linked to GIS by using Global Positioning Systems (GPS). By combining GPR, GPS, and GIS technologies, a more detailed geophysical survey can be completed for an area of interest by integratinghydrologic, pedologic, and geologic data. Thus, the objectives of this research were to identify subsurface soil layers using GPR and their geographic position with a highly accurate GPS; to develop a procedure to import GPR data into a popular software package, such as ArcGIS, and; to create 3D subsurface models based on the imported GPR data. The site for this study was the Plant Science Research and Education Center in Marion County, Florida. The soils are characterized by Recent-Pleistocene-age sand over the clayey, marine deposited Plio-Miocene-age Hawthorn Formation which drapes the Eocene-age Ocala Limestone. Consequently, soils in the research area vary from deep quartz sands (Typic Quartzipsamments) to shallow outcrops of the Hawthorn Formation (Arenic Hapludalfs). A GPR survey was performed on a 160 m x 320 m grid to gather data for processing. Four subsurface models estimating the depth to argillic horizon were created using a variety of specialized GPR data filters and geostatistical data analyses. The models were compared with ground-truth points that measured the depth to argillic horizon to validate each model and calculate error metrics. These models may assist research station personnel to determine best management practices (including experimental plot placement, irrigation management, fertilizer treatment, and pesticide applications). In addition, the developed methodology exploits the potential of combining GPR and GIS.
DE: 1800 HYDROLOGY
DE: 3210 Modeling
DE: 5100 PHYSICAL PROPERTIES OF ROCKS
DE: 9820 Techniques applicable in three or more fields
SC: Near-Surface Geophysics [NS]
MN: 2005 Joint Assembly