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@Ed_ the only sampling methods appropriate for continuous data are the bilinear and cubic convolution.
Resample (Data Management)—ArcGIS Pro | Documentation
Now there is a cavaet in the cubic, beyond the "its takes longer", in that you may get calculated values beyond the range of data that actually exists in your area of interest.
IMHO I would take a look at bilinear as a first go.
Of course this is all predicated on how "accurate" your dem is in the first place (eg. not).
You are messing around with lots of processes so I wouldn't get too hung up on which is best. Follow the cell projection guidelines then try one of the two resampling methods and examine the results in light of what you know.
How the Cell Size Projection Method environment setting works—ArcGIS Pro | Documentation
should be looked at since you are projecting and resampling and are worried about extent/edges
Hi Dan, happy Monday, hope all is well 🙂 and thank you for sharing the link as it is good to know since the DEMs will be reprojected from GCS to PCS (one that kinda works for the whole state). The reprojected and resampled DEMs will be clipped to either HUC12 boundaries or county boundaries and then mosaiced to state level.
Also Dan the resampling is being done from 1m to 3m
Also which Resampling No Data method out of the available five is better for DEMs?
@SteveLynch can you also chime on this please? thank you
just for context the study area is the state of IL
@Ed_ the only sampling methods appropriate for continuous data are the bilinear and cubic convolution.
Resample (Data Management)—ArcGIS Pro | Documentation
Now there is a cavaet in the cubic, beyond the "its takes longer", in that you may get calculated values beyond the range of data that actually exists in your area of interest.
IMHO I would take a look at bilinear as a first go.
Of course this is all predicated on how "accurate" your dem is in the first place (eg. not).
You are messing around with lots of processes so I wouldn't get too hung up on which is best. Follow the cell projection guidelines then try one of the two resampling methods and examine the results in light of what you know.
Thank Dan 🙂 yes i have started with bilinear interpolation method as well
The DEM source is 1m USGS 3DEP
Now what method should I use for No Data Values because i can't leave them empty since i have to later use the `Smooth High Resolution DEM` tool in ArcHydro and this tool requires the DEM to not have empty No Data values
If you have nodata in your area, it is there for a reason, so I would stick with None to keep it so. This doesn't fill in values, it only assigns a value to use for nodata.
I am not inclined to fill in nodata areas under any circumstances (eg via focal statistics or regiongroup and nibble depending on the data type) unless they are only a couple of cells in size
Sounds good Dan, thank you so much 🙂