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Diffstat (limited to 'grid_tools/README.md')
| -rw-r--r-- | grid_tools/README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/grid_tools/README.md b/grid_tools/README.md index f8cab3c..b717373 100644 --- a/grid_tools/README.md +++ b/grid_tools/README.md @@ -47,7 +47,7 @@ Options: * --do-not-write-accuracy-samples: To prevent accuracy samples from the NTv2 grid to be written in the output. Note: if it is detected that those samples are set to dummy values (negative values), they will automatically be discarded * --positive-longitude-shift-value {east,west}: To force the convention for the longitude shift value. NTv2 uses a positive-is-west convention, that is confusing. By default, the script will negate the sign of the longitude shift values to output a positive-is-east convention. Setting this option to "west" will preserve the original convention. Not recommended * --uint16-encoding: Whether values should be encoded on a 16-bit unsigned value, using a offset and scale floating point values. Default behaviour is to use Float32 encoding, which will preserve the binary values of the original NTv2 file -* --datetime DATETIME: to specify the value of the TIFF DateTime tag. Must be formatted as "YYYY:MM:DD HH:MM:SS" (note the use of column as the separator for the Y-M-D part, as mandated by the TIFF specification). If not specified, the script will try to use the value from the corresponding NTv2 header +* --datetime DATETIME: to specify the value of the TIFF DateTime tag. Must be formatted as "YYYY:MM:DD HH:MM:SS" (note the use of colon as the separator for the Y-M-D part, as mandated by the TIFF specification). If not specified, the script will try to use the value from the corresponding NTv2 header * --accuracy-unit {arc-second,metre,unknown}: to specify the unit of the accuracy samples. The NTv2 specification has been [historically interpreted in different ways regarding that](https://github.com/OSGeo/PROJ/wiki/Units-of-NTv2-accuracy-samples-%3F). Mandatory if accuracy samples are written (the script contains a few hardcoded rules for known datasets) Example: |