Close spacing of multiple 2-D Vs maps makes it possible to use them for the construction of a 3-D (cubic) data set through
a proper 3-D interpolation scheme (Fig. 1). Considering the fact that only plane-wave components are selectively
processed during the dispersion imaging process for a 2-D profile, and all other offline waves such as side scatterings are
exclusively suppressed, this independent use of each 2-D profile for the 3-D spatial interpolation can be a valid processing,
producing 3-D data in the simplest manner (Park and Carnevale, 2009). Display of 2-D slices extracted from this cubic data
set along three orthogonal axes (x, y, and z) can be a highly effective tool to understand the 3-D elastic characteristics of the
site (Fig. 2).
(Right) Fig. 1. A 3-D process from four lines of 2-D surveys.
(Below) Fig. 2. Slice maps from the 3-D cubic data in Fig. 1.