Export products using the GDAL library |

### Export products using the GDAL library

This command allows to save products into several formats. The format used to save the product corresponds to the file type selected in the save dialog window.

Images data products are delivered in several image formats, as shown in the table:

File extension | Description
--- | ---
*.kea | KEA is an image file format, named after the New Zealand bird, that provides a full implementation of the GDAL data model and is implemented within a HDF5 file. A software library, likea, is used to access the file format. The format has comparable performance with existing formats while producing smaller file sizes and is already within active use for a number of projects within Landcare Research, New Zealand, and the wider community.
*.nc | Network Common Data Format
*.tif | GeoTIFF
*.ntf | National Imagery Transmission Format
*.img | Erdas Imagine format for read access and write. The driver supports reading overviews, palettes, and georeferencing. It supports the Erdas band types u8, s8, u16, s16, u32, s32, f32, f64, c64 and c128. Compressed and missing tiles in Erdas files should be handled properly on read. Files between 2GiB and 4GiB in size should work on Windows NT, and may work on some Unix platforms. Files with external spill files (needed for datasets larger than 2GiB) are also support for reading and writing.
*.bmp | Microsoft Windows Device Independent Bitmap
*.pix | PCIDSK Database File
*.mpr | ILWIS Raster Map
*.rgb | SGI Image File Format 1.0
*.rsw | Raster Matrix Format
*.rst | Idrisi Raster A.1
*.grd | Golden Software Binary Grid
*.pnm | Portable Pixmap Format (netpbm)
*.hdr | Vexcel MFF Raster
*.bt | VTP .bt (Binary Terrain) 1.3 Format
*.gtx | NOAA Vertical Datum .GTX
*.kro | KOLOR Raw
*.sdat | SAGA GIS Binary Grid

The supported GDAL library versions are listed here. If this library is already installed, then it is used; otherwise the application will use the internal distribution (3.2.1). This functionality is available on machines with the Microsoft Windows, Linux and Mac OSX operating system.

For more details please see: GDAL - Geospatial Data Abstraction Library