Sandbox 5 | HDF5 to ASCII Conversion

[dt-woods]

The Challenge

You have been given an HDF5 data file containing a raster dataset (dataset path: /data/assignment) and a colleague has asked for it in ASCII raster format. Your mission—should you choose to accept it—is to:

• extract the data from the HDF5 file along with any and all relevant attributes;
• save the data in a valid ASCII raster format; and
• create a visualization that shows where in the world the raster is located.

Add and commit your Python script (sandbox/sb5_dt-woods.py) to the repository. Create a PNG file of your raster data and copy it as a comment it to this issue along with your answer to "where in the world is this raster located?"

Script Requirements

Your Python script should execute in the sandbox folder and:

• produce an ASC raster file in the sandbox directory; name your output username.asc (e.g., dt-woods.asc)
• read the HDF5 file (data/sandbox5.hdf); it is your choice whether to hardcode the path, take a directory path or file path as an argument or input (it should be clear what you choose to do)
• use the h5py Python package for reading the HDF file
• have any and all package import statements at the top of your script

Output ASCII File Requirements

Your ascii file should:

• have all the correct headings in the correct order (remember Sandbox Challenge 4)
• have the correct data organized in the correct number of rows and columns in integer format
• (optional) include the accompanying .prj file with the spatial reference information

You may use any tools to create your visualization, but it should be in PNG file format and be less than 1 MB file size (it does not need to be automated by your script).

[bswhitneyWM]

According to my script, it is located in the middle of the state of Georgia. In particular, I believe it is Jasper County.

[caroline-wall]

The raster is located in the state of Georgia.