Import Grid (Raster) Data

On the File tab, in the Import group: Click Grid (Raster) Data to import a file in third-party grid file format and convert it to Micromine Grid Surface (*.GRD) file format.

Input file

Click the ellipsis button to navigate to the location of the input grid file. A wide number of third-party grid file formats are supported. The same formats can also be opened as images in Vizex.

Band

In the case of a multi band dataset, only ONE band can be imported. When multiple bands are detected, the Band selection drop-down list is enabled. The first band is selected by default.

64-bit data cannot be converted into 32-bit Micromine Australia Pty Ltd Grid format. If you want to import 64-bit data, you must first use GIS or image processing software to re-scale the data to 32-bits or less.

Output file

Enter the name of the Grid (*.GRD) file that will be created as a result of the import process. If you do not select a location, the file will automatically be saved to the same folder as the input file. To overwrite an existing file, double-click (F3) to navigate to the location of the file.

You can also display the same grid formats directly in Vizex by loading them via Display | Grid File.

Auto load

To display the data in Vizex once the file(s) have been imported, select the Auto load option.

Convert Coordinates

Select the Convert Coordinates check box to convert between geographic coordinates (latitudes and longitudes) and projected or local coordinates, as part of the import process.

Conversion

Select, or create a new, coordinate conversion form set. See: Coordinate System Conversion

Sampling method

Select a sampling method:

Method Input Cells Calculation Properties

Nearest Neighbour

1 (1 × 1)

Returns the nearest cell value

  • Fast but poor-quality interpolation.
  • Preserves the exact values of the input data, for example a geological grid where cell values represent geological units, or the exact value of the nearest sample.

Bilinear

4 (2 × 2)

Combined linear interpolations along the X and Y axes

  • For general purpose interpolation.
  • Very efficient.

Cubic

16 (4 × 4)

Cubic convolution

  • For interpolating continuous surfaces.
  • Produces a smoother result than bilinear interpolation.
  • Large input changes may cause over- or -undershoots.

Cubic Spline

 

Piecewise cubic polynomial

  • Honours the input cell values and avoids over/under shoots.

Lanczos

 

Windowed sine cardinal (Sinc) function

  • Very accurate with smooth data.
  • Better at preserving sharp edges than other methods.
  • May cause dark/light haloes along strong edges.

Grid (Raster) File Formats