Smoke/Flood data calculation

kyle-messier / PEGS_Mixture

Project on analyzing environmental and climate mixtures on health outcomes with the PEGS cohort

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Smoke/Flood data calculation #6

Open sigmafelix opened 8 months ago

sigmafelix commented 8 months ago

Making HMS raster stack (multiple attribute columns or time-indexed layers) and FEMA data to delineate the severely damaged area due to floods during the study period

Target sample size is around 3K (from whom mental health status can be assessed)
[x] Download USGS HMS Smoke data and rasterize (<1km resolution); also consider making irregular vector cube
[ ] Calculate lagged (maximum severity of smoke in one recent year/month) smoke exposure and flood damage (recent year/month)

sigmafelix commented 7 months ago

11/20/2023

HMS Smoke data were rasterized to NetCDF files, but I had to coarsen the spatial resolution to 4km due to file volumes.
As I had 5000+ days and three different smoke levels, I managed to make a virtual raster to reduce memory pressure and potential performance gain. However, virtual raster solution did not seem work well as I have too many days to process and query. Will work on querying the relevant date's data instantly with the fixed time window (e.g., 0.5-, 1- or 3-year before the survey completion).

sigmafelix commented 6 months ago

12/11/2023

Smoke exposure showed low variability in North Carolina; out-of-state participants tend to have the longer smoke exposure regardless of intensity.
When the window gets one year (365 days), the north-central part of the NC gets the longer exposure than others.