Found that I had an old thread on the same subject.
My question now should be: Are there any new methods that are faster than those suggested in the thread above?
--original question---
I am trying to speed up a work bench.
What I have: DTM georasters where the highest (statCalcMax) cell value of each raster has been extracted into an attribute. The other cells have been given a nodata value.
What I want: I need to find the x-y postiton of the cells that have a value in each raster as fast as possible. I would like to find a way to somehow filter out only pixels that have a value before any spatial/geometry processing.
What I tried but found to slow:
The methods below convert the cells into points before identifying the cells I need. This makes them really slow.
- RasterPolygonCoercer › CentrePointReplacer › CordinateExtractor
- RasterCellCoercer › CordinateExtractor
- PointCloudCombiner
Any ideas on how to find the position of the desired cells with as little spatial/geometry processing as possible?