SSMIS tools: Useful Python
software for reading...

Language/Sofware: Numpy, Python
Application type(s): Data Conversion, Data Read/Write
Related project(s):
Description:
This tool is a reading Python software for SSMI binary files consisting in some headers followed by records with the same pattern (Headers and record patterns are described in text files: ./conf/).
Datasets are returned as Numpy arrays and write in HDF4 file.
Author(s): Nicolas Henriot. Bruno Six (ICARE)

SSMI_TOOLS: Useful Python
software for reading ...

Language/Sofware: Numpy, Python
Application type(s): Data Conversion, Data Read/Write
Related project(s):
Description:
This tool is a reading Python software for SSMI binary files consisting in some headers followed by records with the same pattern (Headers and record patterns are described in text files: ./conf/).
Datasets are returned as Numpy arrays and write in HDF4 file.
Author(s): Nicolas Henriot. Bruno Six (ICARE)

HDF Reader: HDF4 files read
library in many lan...

Language/Sofware: C, Fortran, Fortran77, Fortran90, IDL, MATLAB, Python
Application type(s): Data Read/Write
Related project(s):
Description:
The library contains high-level read functions for HDF4 files in C, Fortran 77, Fortran 90, IDL, Python and MATLAB
Author(s): Bruno Six, Nicolas Pascal, Aminata Ndiaye (ICARE) ; Francois-Marie Breon (IPSL-LSCE)

Hdf2img: Creation an image
from a HDF4 SDS

Language/Sofware: Numpy, PIL, Python
Application type(s): Data Conversion, Visualization
Related project(s):
Description:
This application creates an image of a 2D HDF4 SDS. It supports different colormaps, min/max thresholding, scaling, fill value filtering…
Many output image formats are also supported.
Author(s): Nicolas Pascal (ICARE)

ReadRawFile: Useful Python
module for reading b...

Language/Sofware: Numpy, Python
Application type(s): Data Read/Write
Related project(s):
Description:
This tool is a generic reading Python module for all binary files consisting in some headers followed by records with the same pattern.
Headers and record patterns are described in text files. Datasets are returned as Numpy arrays.
Author(s): Bruno SIX (ICARE)