Explore the Operational NEON HDF5 Format
This NEON internal brownbag introduces the concept of Hierarchical Data Formats in the context of developing the NEON HDF5 operational file format. Look here to discover resources on HDF5, code snippets in R, Python and Matlab to use H5 files and some example H5 files for Remote Sensing Hyperspectral data and time series temperature data.
Please review, download and setup the following, prior to attending the brownbag.
Data to Download
These hyperspectral remote sensing data provide information on the National Ecological Observatory Network’s San Joaquin Experimental Range field site. The data were collected over the San Joaquin field site located in California (Domain 17) and processed at NEON headquarters. The entire dataset can be accessed from the NEON website.
Download the Free H5 Viewer
The free H5 viewer will allow you to explore H5 data, using a graphic interface.
Please review the following:
|12:00||Hand-on exploration of the HDF5 Data Format|
|12:20||Working with HDF5 in Python - live demo.|
|12:30||NEON HDF5 Format - what’s next|
Useful HDF5 Resources
Python resources for HDF5:
- H5 Python Documentation
- O’Reilly book on Python and HDF5! The modern stamp of legitimacy for programming.
- Python examples from the HDF5 people themselves!
Python Code to Open HDF5 files
For sample python code to open HDF5 files, see the Opening HDF5 files with Python Sample Code tutorial .