KristinaRiemer commented 6 months ago

Assessment of AZ's Carbon Sequestration Potential

With David Moore (SNRE)

Estimating carbon stocks and fluxes across state of Arizona
Start with stocks, have identified 10 datasets; shouldn’t need to derive carbon values?; challenge is to summarize across different spatial and temporal extents and get confidence across states
Broader project covers natural, crop, and geological; wants to seek other funding to expand across North America and then globally
Start this month; other collaborators are two current grad students (Charlie Devine & someone else) + incoming postdoc
Page 2-3 of AIRE proposal

More tasks from follow up email:

Subset data products by selected locations (in addition to AZ state?):

For each subset, generate these outcomes:

[x] Maps of AGB, AGB range, AGB standard deviation (same as RMSE in this case?) (https://github.com/cct-datascience/SW_Biomass/issues/20)
[x] Mean (by product)
[x] Median (by product)
[x] Sum (by product, by median, by mean)

Aariq commented 1 month ago

Next step: write a new/updated project plan

Aariq commented 1 week ago

Ok, here's the things needed:

AIR (AZ only):

[ ] summary stats (code mostly done, but needs to be moved from SW_Biomas repo)
- for each product x subset combination
- for every year
- mean, median, sd, quantiles, sum, count, etc.
- also for median across years (e.g. the mean median AGB, sd of median AGB, sum of median AGB, etc.)
[x] trends (slopes from pixel-wise lm) (https://github.com/EcosystemEcologyLab/AZ-AGB-trend)
- for each product x subset combination
- mean, median, sd, quantiles of stdev in each subset
- maps of slopes in each subset
[ ] stdev across products (code mostly done, but needs to be moved from SW_Biomass repo)
- for each subset
- summary stats (sd of sd, mean sd, median sd, etc.)
- maps for each subset

cct-datascience / organization