Bing imagery problem?

In panning around the area, it seems to be a somewhat localized issue with the imagery. To work around it, in Potlatch, you can hold down the space bar and move the imagery to realign it with the existing data.

This is a related question about realignment http://help.openstreetmap.org/questions/6385/alignment-of-track-vs-background-imagery
The photos are "stuck" together and its more noticeable when the light as changed between pics.I have noticed when tracing over bing that the shadow of adjacent buildings occasionally points from a different direction,indicating a join, you could get a fairly precise time and date (or season) from the length of shadow and bearing but it's only of incidental interest. The images will be their most accurate in the centre, that is vertically below the camera the greater the angle from vertical the greater the distortion as the edges of images are further away from camera than the middle so they must stretch a bit. The higher the altitude the less distortion but the optics will need to be better and I suppose there will be some distortion for the greater depth of atmosphere that may have varying densities that will bend the light (as in heat shimmer). The wiki will I'm sure have some professional words on all of this.

One suggestion as to how to deal with this issue is the "True Offset Process", described here. As far as I know, there's no editor support for it (yet) and I would imagine that collating different people's impression of how much imagery is offset may prove difficult. In your area it's obvious that there's a discontinuity, but (especially in hilly areas) there can be problems with both imagery and GPS traces being (differently) offset. Even in non-hilly areas there can be problems (like here for example).

Basically, the more good GPS traces there are the better you can align imagery (and tell which GPS traces are good ones).

The existing traces seem to match the roads well so they are probably correct. It may be good to contact some more experienced local mappers and then agree on the realignment.After the main shift you could each correct the data that was drawn from ariel while it was misaligned. Hopefully as a shared task it would be less likely to upset other contributors and be less stressful than for a single mapper working alone.