Email from Phil:

As flagged in our talk this week, while Lori’s suggested narrative looks excellent (subject to Matogen magic) Lori mentioned she was not a video expert, so her visual suggestions were placeholders. To add further grist for your imagery mill I’m following with some slide decks that Kevin and the team have prepared to share with our MDA partners led by Brad Redlin. For each slide deck I’ve flagged images that could be useful and tried to group and briefly explain them in a way that can help concord the slides with the suggested narrative.

 

I believe I’ve given Laura, Robyn and Ian access to the slides. Let me know if there is a problem.

 

Deck #1: Water Quality Data Products

 

Slide 5 -- steps in calculating lake water quality

Slides 18 & 19 – estimated monthly lake water quality

Slide 21 – workflow in calculating lake water quality

 

Slide 11, 23, 24, 25, 29 – catchment basins and watersheds – we developed workflows to link farm fields to specific water bodies by way of watersheds and catchment basis

 

Slides 27 & 28 land use

 

Deck #2: WQ-MDA inputs

 

Slide 1. In addition to the CFANS, RC, GEMS and MDA (see earlier versions shared by email) logos, add the DSI and Water resources Center.

 

Slide 3: Workflow in calculating lake water quality (maybe better than slide 21 in Deck #1?)

Slide 5: Cool image of estimated lake water quality for May 2022.  (complement to slides 18 & 19 in Deck #1)

 

Deck #3: Fill in the gaps – we remote sense field imagery

 

Slide 3: BEFORE: Satellite images arranged from left to right by month (vertically every five days) of particular farm fields showing days with images – missing images due to cloud cover as satellite runs past approximately every 5 days

Slide 7: Our stats model to interpolate missing data (Kevin can we show this yet given IP issues?)  

Slide 10: AFTER: The same as slide as 3 but now with interpolated farm field data to deal with missing (cloud cover) data after using GEMS statistical and data curation magic.

 

@Kevin