The recordings of the event are available on the YouTube playlist:
FLUXNET2015 Dataset
Variables guide: https://fluxnet.org/data/fluxnet2015-dataset/variables-quick-start-guide and
https://fluxnet.org/data/fluxnet2015-dataset/fullset-data-product
Python utilities
Lucas Python Course scripts download: https://drive.google.com/drive/folders/1x-x2CFTOGOc1IvtcnFYkBHcrGSBwvKRJ?usp=sharing
Python 3.9.4: https://docs.python.org/3
Numpy: https://numpy.org
Pandas: https://pandas.pydata.org
Pandas tutorials: https://pandas.pydata.org/docs/getting_started/intro_tutorials/index.html
Kite plugin with PyCharm for code completion and inline help for current command: https://www.kite.com/integrations/pycharm/
Remote sensing:
https://github.com/attibalazs/awesome-remote-sensing
https://pypi.org/project/pyrsgis/
https://developers.arcgis.com/python/
https://earthpy.readthedocs.io/en/latest/
https://github.com/attibalazs/awesome-remote-sensing
Other flux-related links
A paper on gap-filling flux data: https://www.sciencedirect.com/science/article/abs/pii/S016819230700216X
Rolling list of software/packages for flux-related data processing:
A C implementation of the MDS method (same as used for REddyProc) as part of the ONEFlux codebase: https://github.com/FLUXNET/ONEFlux
REddyProcWeb online tool: https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWeb
Pymicra – A Python tool for Micrometeorological Analyses: https://github.com/tomchor/pymicra