Hello,
I have seen that minimum curvature gridding of .gdb is more suited when you have random distribution of data while Bi-directional gridding (BIGRID) is more convenient when the flight lines are in a parallel direction.
However, I was told that for the gamma-ray spectrometry data (described below) I should use minimum curvature because of the time sampling and BIGRID for the magnetic data. It is said that minimum curvature is more common for gamma-ray .gdb gridding.
I would like to know which type of these two interpolation techniques I should use (for both gamma-ray and magnetic data).
My grids in Oasis Montaj did not show a significant difference when I interpolated the data using both methods. Nevertheless, I wish I knew the answer for this issue.
I would appreciate if you could suggest me any articles that discuss this topic.
The specifications of the airborne survey are:
Spacing between flight lines: 500 m
Flight height: 100 m
Direction of flight lines: N-S
Time sampling: 0,1 s magnetometer
Time sampling: 1,0 s spectrometer
Direction of control lines: E-W
Spacing between control lines: 10 km
Note: The interpolation is for flight lines only (I am not using tie lines).
Best regards,