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DS 232: Texas Aeromagnetic Data Processing

The assembly of individual aeromagnetic surveys and grids to create the Texas statewide compilation was done in several steps.


  1. Grids were constructed from the original aeromagnetic survey data with a cell size of between 1/3 and 1/5 of the flightline spacing of the survey, using a minimum curvature gridding algorithm (Webring, 1982). For digitized contour line data, the initial grid was constructed using a minimum curvature algorithm and a spacing appropriate for the scale of the digitized map.
  2. The Definitive Geomagnetic Reference Field (DGRF) calculated for the date and elevation of the original survey was subtracted (in some cases this required the determination and removal of the original reference field).
  3. Flightlines were adjusted, and spurious anomalies (generated by equipment malfunction) were removed as necessary.
  4. The survey grids were regridded as necessary to the final grid-cell size of 1,000 m using a minimum curvature algorithm.
  5. The original survey grids were continued to 1,000 ft above ground, if necessary, and converted from level to drape as necessary. Upward continuation of the NURE surveys was by standard 2D FFT filtering techniques.
  6. The datum levels of the converted grids were adjusted (by addition or subtraction of a constant value) to minimize differences at the boundaries.
  7. These adjusted grids were combined into a single merged grid that shows the magnetic field measured or calculated at 1,000 ft (304.8 m) above ground. Weighted averaging of the data was applied in the overlap areas. This level was selected in order to be compatible with recent USGS state compilations.


  • Projection = Lambert conformal conic
  • Central meridian = 100° W. longitude
  • Base latitude = 0° N. latitude
  • Standard parallels = 33° and 45°  N.
  • Semi-major ellipsoid axis = 6378206.4 m
  • Eccentricity squared = 0.0067686579973
  • Horizontal Datum = NAD27
  • Ellipsoid = Clarke 1866

For additional information contact:

Viki Bankey

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