QAComplete Raster Cleanup
Unused in QAComplete
Below are the rasters that we have in QAComplete folder but DO NOT exist in any of the ControlTables that we have used in StreamCat / LakeCat /SplitCat. I don't know the best way for all of us to interact to figure out what we need and what we can get rid of, but I guess I arrived at a GH issue as the best place to start. I'm pretty sure we can all edit this comment as well as put new comments below. Check any boxes below if we need to keep the layer in QAComplete.
- [ ] 'awch.tif'
- [ ] 'bdh.tif' -- used for StreamTempModelling
- [ ] 'cti.tif'
- [ ] 'ET_cm.tif'
- [ ] 'geol_hunt.tif'
- [ ] 'geol_reedbush.tif' -- used for StreamTempModelling
- [ ] 'InorgNWetDep.tif'
- [ ] 'IntrodManagVegRipBuf100.tif' -- we no longer need masked layers. we make mask of
catGRID - [ ] 'kfact.tif'
- [ ] 'NH4.tif'
- [ ] 'NO3.tif'
- [ ] 'nonnativeRipBuf100.tif' -- we no longer need masked layers.
- [ ] 'N_dep_2016.tif'
- [ ] 'omh.tif'
- [ ] 'rdh.tif'
- [ ] 'rhmean.tif'
- [ ] 'SplusN.tif'
- [ ] 'TD_N.tif'
- [x] 'tl_2010_US_bg10.shp' -- this makes POPDEN and HUDEN | keep elsewhere??
- [ ] 'tmaxv2.tif'
- [ ] 'tmax_test.tif' -- set
LYR_DIRelsewhere. - [x] 'TMEAN_W_2008.tif' -- getting remade for MAST, MSST, MWST in all surveys
- [x] 'TMEAN_W_2009.tif' -- getting remade for MAST, MSST, MWST in all surveys
- [ ] 'wdmax.tif'
- [ ] 'wdmin.tif'
- [ ] 'wdsum.tif'
- [ ] 'wtdph.tif'
Ag2006MidSlp & Ag2006HiSlp
These 2 rasters are no longer really needed for publication, we now have Mid/HiSlp metrics for every NLCD and the specific Ag category can be created by just summing the Crop / Hay (81&82) values for any given year. These can be X'd completely?
- [ ] 'Ag2006MidSlp.tif'
- [ ] 'Ag2006HiSlp.tif'
question:
- through doing the StreamTemp Modelling, I have found that the
PRISMtmean_2008.tifthat I made doesn't align in values with what is in QAComplete, do we need to re-run these?
answer:
- after talking with @ryan-hill we've determined that the "BILINEAR" approach used by Arc differs from that of GDAL in it's output. The differences are insignificant in our analysis.