nquarder [DISCUSSION GUIDE] Week 4: Artificial Intelligence

[github-actions[bot]]

Agenda:

• [ ] Share one or two of the flood frequency or temperature change analyses [20 min].
  • [ ] Did you find anything unexpected, like a regime change? Can you find any evidence of anthropogenic changes, climatic oscillations, or other influences that might have contributed?
  • [ ] Who is the audience for your portfolio? Can you think of ways your rhetoric could be improved to better convey a message to that audience?
• [ ] Reading and Discussion on AI [30 min]
• [ ] Student screen share [optional, 10 min]: Review any questions or outstanding bugs from previous assignments, if applicable
• [ ] Take a look at the Camp Fire using the time slider on Google Earth [20 min]
• [ ] Start the new raster data assignment on vegetation recovery after the Camp Fire [10 min]

[nquarder]

NOTES:

• videos are helpful!! @eculler 👍
• lots of weird nuances in the notebooks that are easy to miss or overlook; takes some time to catch everything
• @ellenalamont17 needs to get assigned a review - @eculler can you help with this?
• had some conversations about the environment and working locally vs. GitHub codespaces
• talked about some of the essentials of GitHub repos
• @peterkobylarz shared screen and talked about flooding in Yellowstone on the Lamar river (might go back and change to another river w/ higher cfs)
• @Adriannaluger shared screen to look at flooding on Long Island, NY; also did some troubleshooting at start of class to get Syncing issue sorted out - used this as a resource: https://github.com/desktop/desktop/issues/14431
• talked a bit about controlling how big the folium map output renders when outputting to html; @JKinsler mentions defining the size of the container when working in html (shared the following resources: https://www.w3schools.com/w3css/w3css_containers.asp)
• Link to d/l Google Earth: https://earth.google.com/intl/earth/download/ge/agree.html
• Be sure to create an account with Earthdata to request data for this week's assignment: https://urs.earthdata.nasa.gov/
• Spent a few min looking at Paradise, CA using Google Earth
• https://classroom.github.com/a/H0bnQABO <-- Assigned next week's notebook.
• Reminder that we'd like you to get up through the data request step for next week; we'll worry about analysis in the following week
• Don't forget to do the readings for this week and post responses (with questions!) in the discussion (https://github.com/earthlab-education/Earth-Analytics-2023-01-Intro/discussions/301)
• also we need to think about getting a CU/Earth Lab laptop for @ellenalamont17
• Great job this week everyone!! @Adriannaluger, @JKinsler, @ellenalamont17, @nbol48, @peterkobylarz, @jsmi374

[nquarder]

Hey happy Friday @Adriannaluger, @JKinsler, @ellenalamont17, @nbol48, @peterkobylarz, @jsmi374.

@eculler needed to make some changes to the environment (see .devcontainer.json) so you will need to create a new codespace if you already got a start on this week's assignment looking at NDVI data. This will update the environment and will allow you to successfully download the data for this week.

Also the video for this week's assignment is now up (https://github.com/earthlab-education/Earth-Analytics-2023-01-Intro/discussions/309) and we'll have another video up next week for the 2nd half of the assignment.

Have a good weekend, y'all! -NQ