HR: 1330h
AN: NS23B-05    [Abstracts]
TI: Method for Enhancing the Depth and Spatial Resolution of One and Two Dimensional Residual Surfaces Derived from Scalar Potential Data
AU: * McDermott, A
EM: selkiesdad@twcny.rr.com
AF: Unaffiliated, PO Box 281, Potsdam, NY 13676 United States
AU: Revetta, F
EM: revettfa@potsdam.edu
AF: SUNY College at Potsdam, Department of Geology SUNY Potsdam, Potsdam, NY 13676 United States
AU: Chiarenzelli, J
EM: chiarejr@potsdam.edu
AF: SUNY College at Potsdam, Department of Geology SUNY Potsdam, Potsdam, NY 13676 United States
AB: An improved method is reported for collecting or assembling scalar potential data measurements that are to be subsequently prepared as a surface representation for residual analysis via frequency domain transform filters. Measurements are made over a geographic reference region which extends in all cardinal directions from the center of some previously determined primary region. The reference dimensions must contain the primary region and must be plural multiples of the dimensions and the depths of the primary region to be considered in analyzing the contributions to the measurements. An iterative filtering approach is described which permits maximum advantage to be realized from the additional information provided by the extended baseline used for the field measurements. Traditional statistical techniques may used to construct an histogram from the set of values comprising a surface representation. This histogram constitutes a Spatially Correlated Potential Spectrum for the surface, and provides additional information regarding specific spatial and physical parameters. The improved resolution of geological structures over the depths and spatial extents under consideration is demonstrated and discussed.
DE: 0920 Gravity methods
DE: 1227 Planetary geodesy and gravity (5420, 5714, 6019)
DE: 5794 Instruments and techniques
DE: 8040 Remote sensing
DE: 8124 Earth's interior--composition and state (old 8105)
SC: Near-Surface Geophysics [NS]
MN: 2005 Joint Assembly