Hi team
I've been a Python coder for a few years and have really enjoyed using the demonstration DEA notebooks this past year, but I'm still not quite comfortable with branching & editing an open-source repo myself. I was hoping someone could review/fix some possible typos I found in the codebase. This is actually also one of my first ever GitHub Issues, so please accept my apologies if it's not been written up quite right. For example, I cannot figure out how to attached the "documentation" tag to this Issue when creating it, so a blank Issue with a suitable title tag listed in the title is the closest I could find. It would be great if somehow could point me at some instructions on how to do that.
Many thanks!
Milan.
Hi team
I've been a Python coder for a few years and have really enjoyed using the demonstration DEA notebooks this past year, but I'm still not quite comfortable with branching & editing an open-source repo myself. I was hoping someone could review/fix some possible typos I found in the codebase. This is actually also one of my first ever GitHub Issues, so please accept my apologies if it's not been written up quite right. For example, I cannot figure out how to attached the "documentation" tag to this Issue when creating it, so a blank Issue with a suitable title tag listed in the title is the closest I could find. It would be great if somehow could point me at some instructions on how to do that.
DEA Water Observations – Loading data
Current text: "important data isn not lost" -> "important data is not lost" (correct the "isn")
DEA Water Observations – Understanding WOs bit flags
Current text: "independantly" -> "independently"
DEA Water Observations – Masking using WOs bit flags
Code section comment heading is "# Keeping only dry, non-cloudy pixels" -> "# Keeping only wet, non-cloudy pixels"
DEA Water Observations – Identifying clear pixels
Code section comment heading is "# Identify clear pixels that were either dry or clear" -> "# Identify clear pixels that were clear, i.e. either wet or dry"
DEA Water Observations – Inundation frequency
Code snippet: "plt.title('Inundation frequency (% wet observations)')" -> Maybe add a terminating semicolon to prevent the Matplotlib Text object from being printed to the notebook's output cell & webpage)
DEA Water Observations – Surface water over time
Code snippet: "plt.title('Surface water over time (%)')" -> Maybe add a terminating semicolon to prevent the Matplotlib Text object from being printed to the notebook's output cell & webpage)
DEA Waterbodies – Getting data for a specific waterbody
"shows that it was constructed in 2013". I'm a bit puzzled about how the plotted data show that the waterbody dates back to 2013 if the time-series plot goes all the way back to 1986.
Many thanks!
Milan.