GMinterp, A Matlab Based Toolkit for Gravity and Magnetic Data Analysis: Example Application to the Airborne Magnetic Anomalies of Biga Peninsula, NW Turkey.


EKİNCİ Y. L. , YİĞİTBAŞ E.

European Geosciences Union General Assembly, Viyana, Austria, 22 - 27 April 2012, vol.14, pp.8983

  • Publication Type: Conference Paper / Summary Text
  • Volume: 14
  • City: Viyana
  • Country: Austria
  • Page Numbers: pp.8983

Abstract

The analysis of gravity and magnetic field methods is becoming increasingly significant for the earth sciences as a

whole and these potential field methods efficiently assist in working out both shallow and deep geologic problems

and play important role on modeling and interpretation procedures. The main advantage of some gravity and

magnetic data processing techniques is to present the subtle details in the data which are not clearly identified in

anomaly maps, without specifying any prior information about the nature of the source bodies. If the data quality

permits, many analyzing techniques can be carried out that help to build a general understanding of the details and

parameters of the shallower or deeper causative body distributions such as depth, thickness, lateral and vertical

extensions.

Gravity and magnetic field data are usually analyzed by means of analytic signal (via directional deriva-

tives) methods, linear transformations, regional and residual anomaly separation techniques, spectral methods,

filtering and forward and inverse modeling techniques. Some commercial software packages are commonly

used for analyzing potential field data by employing some of the techniques specified above. Additionally, many

freeware and open-source codes can be found in the literature, but unfortunately they are focused on special issues

of the potential fields.

In this study, a toolkit, that performs numerous interpretation and modeling techniques for potential field

data, is presented. The toolkit, named GMinterp, is MATLAB-based consisting of a series of linked functions

along with a graphical user interface (GUI). GMinterp allows performing complex processing such as transforma-

tions and filtering, editing, gridding, mapping, digitizing, extracting cross-sections, forward and inverse modeling

and interpretation tasks. The toolkit enables to work with both profile and gridded data as an input file. Tests on

the theoretically produced data showed the reliability of developed toolkit. Additionally some experiments on real

data sets were performed to interpret the geological structure of Biga Peninsula, NW part of Anatolia, Turkey.

Keywords: GMinterp, GUI, airborne magnetic data, geology, Biga Peninsula