I am afraid I know the answer to this already, but I figured it was worth a shot to ask:
Is there a way to combine trajectory solutions from different reference stations so as to yield a weighted mean for the corresponding points observed in a PP kinematic, continuous points survey?
One of our other offices collected route data with a vehicle mount, and they are looking for final point positions. Being the sole TBC guy in the region, it is now my data to process.
While I have done a fair amount of PPK work using my own base (while far away from any other reference stations) for this particular project we had no base station of our own running. This would not have been my choice, but it was not my project...until it became my project this week.
However, we do have multiple public continuously operating stations in the vicinity of the project. Any one of those stations will give mediocre-to-good results from a single-baseline solution; however, I would much prefer to combine the results of multiple stations and get a better solution. We are also performing static and network RTK work using the same base stations.
Processing baselines with data from the reference stations yields multiple trajectories and updated coordinates for the points that came in from the job file; however, point derivations show that only the first trajectory processed is used to derive the final point position.
The project is set to derive the weighted mean of all sideshot observations, but I am guessing since trajectories are not technically sideshots this does not apply.
I realize that I could turn off "store continuous as trajectory" and manually merge the vectors to get a weighted solution, but I am not about to do that for nearly five thousand separate points.
Anyone have a solution? Or can at least tell me that this is not possible?
-Eric in WA