I have bathymetry data (1 huge data) = SRTM/DEM/FGDBRaster (0,9818m resolution pixel, floating, 32 bit, 45 GB size)
and an alternative data (split into small pieces data) = same data but with 1m res pixels.
My task is convert the data into point with 10m distance between point and getting depth value (positive and negative) from my DEM data. I will use that point and label it with depth value (negative and positive value), and put that point on top of my bathymetry map
My method is:
Using "Resample" tool to reduce the raster resolution first (nearest neighborhood, 9,818m width/height cell factor)
Then convert into point using "Raster to Point" tool
My questions are:
Is there any other method with better/accurate way than I did? (I use nearest neighborhood cause the value didnt change and I think that is the best resample than others)
When I resample my source data (0,9818m) should I use 9,818m cell factor or 10m cell factor?
What if I convert the DEM first into point, then reduce the point from 1m distance to 10/9,818 m distance (I still don't what tool to reduce the point that can mantain the accuracy between point and my DEM depth value), is that less accurate method?