Hi,
I have 79 single-band rasters, each a step in a time series, with Int8 values that reprepresent a risk class. I want to get the max value for each cell and use a RasterMosaicker to achieve that. Then I use a RasterToPolygonCoercer to convert to polygons for further analysis. My problem is that converting the raster from the RasterMosaicker is extremely slow and performance demanding compared to converting the individual raster I have before the mosaicker (the timesteps are converted in a matter of seconds whereas the mosaicked raster takes in the range of an hour or more). This is an example of my workspace:
Why is it so much slower to convert the mosaicked raster? As far as I can see they have the same properties and dimensions. It does have more data but not by much and still most of the cells are nodata. Is there a faster way to achieve the same thing or am I missing something? Thanks!
