I am looking at posting our District's 2m Lidar derived contour data on AGOL. When we initially loaded the data up to AGOL we noticed that we were chewing through our credits at a rate of 53 credits per-day, by the end of the year we would have been in the red. We had loaded our 2 and 5m Contour data which equated to 6GB of data on AGOL.
The contour data is roughly 3GB in size and I was wanting to know if anyone has any good methods for reducing the overall footprint (size) of the data for loading into AGOL as a feature service or tile service.
I initially thought that I would dissolve the Lidar Data and then explode the data to ensure where features aren't next to each other are individual features. What I noted when I ran this process is that my machine froze after about 20 mins of processing/dissolving the data.
2m Contour Coverage
I create the contours used in our basemaps at Esri. I would suggest running Simplify Line on your contours. Your contours likely have too many vertices. I would also run check geometry and repair geometry (twice) afterwards. For input on the Simplify Linne tool, start with a small number (like .2 meters). Often, lidar generated contours have too much detail in them. Another option is to degrade the lidar DEMs before generating using Resample. If generating from a mosaic dataset, I use function to do this.
Arthur Crawford - Esri Content