HR: 16:30h
AN: H34A-05    [Abstracts]
TI: Rapid Mapping of Soil Electrical Conductivity by Radar Satellite Remote Sensing for Landmine Detection
AU: McNairn, H
EM: mcnairnh@agr.gc.ca
AF: Agriculture and Agri-food Canada, K. W. Neatby Building, 960 Carling Ave., Ottawa, ON K1A 0C6 Canada
AU: * Katsube, T J
EM: jkatsube@NRCan.gc.ca
AF: Geological Survey of Canada, 601 Booth St., Ottawa, ON ON K1A 0E8 Canada
AU: Das, Y
EM: Yoga.Das@drdc-rddc.gc.ca
AF: Defence R&D Canada Suffield, P.O. 4000, Station Main, Medicine Hat, AB T1A 8K6 Canada
AU: Holt, R M
EM: rmholt@olemiss.edu
AF: Univeristy of Mississippi, Department of Geology and Geological Engineering, 118 Carrier Hall, University, MS 38677 United States
AB: Many soil physical and chemical properties interfere with landmine detector signals. It has been shown that prior knowledge of the distribution of these properties would allow appropriate technology selection and increased demining operation effectiveness/efficiency. For this reason, economic and rapid mapping techniques using remote sensing for these properties over wide areas are considered. Since soil electrical conductivity (EC) interferes with the most widely used landmine detection systems, such as metal detectors and ground penetrating radar, it has been proposed to start with developing a rapid mapping technique for EC using remote sensing. Although airborne, ground EM systems, and laboratory analyses are proven methods for mapping EC, they generally lack the appropriate resolution required. In addition surveys by such methods are costly and time consuming for mapping large areas such as entire countries. Therefore, EC prediction by satellite imaging of soil moisture change using RADARSAT is being tested in eastern Alberta (Canada) and northern Mississippi (U.S.A.). Areas of little soil moisture change with time can be associated with high moisture retention and higher clay content, suggesting an association with higher EC. However, use of airborne and ground EM systems and laboratory analyses are recommended for validation of EC distributions mapped by remote sensing. Fusion of RADARSAT soil moisture images at varied dates are used to identify boundaries between high and low moisture retention areas in both the northern Mississippi and Alberta test sites to predict areas of high and low EC. These predictions are being validated by ground EM surveys, laboratory analyses and, in some cases, by various other methods such as soil and military traficability maps. Soil sample are collected across the high-low EC boundaries for laboratory analyses. Laboratory analyses consist of soil texture/mineralogy, moisture versus spectral EC, and strength tests.
DE: 1866 Soil moisture
DE: 1875 Unsaturated zone
DE: 6969 Remote sensing
SC: Hydrology [H]
MN: 2005 Joint Assembly