I was doing some CLC cleanup tonight, removing landuse=meadow polygons that didn't remotely match more recent imagery. Of all the meadow polygons, not one was worth keeping. I found small woods, roads, farms, residential areas, and basically anything but good data. After going at it piece-meal I'm wondering if we need to go after it in a systematic manner with a mechanical edit.
There are 19k ways and 1.2k relations with CLC:id, landuse=meadow, and version=1. About the same number of both have version>1. Based on the sampling I did, if any are accurate, it is purely by chance. What I'm wondering is 1. I did the editing in Poitou-Charentes, France. Is the CLC data here representative of other data? 2. Are there other CLC classifications which are just as bad? If the area I looked at is representative, I am contemplating proposing a mechanical edit to remove the bad data. What are peoples thoughts on this? I'm not getting into specific details at this point, as I'm just evaluating the concept. Before actually doing a mechanical edit, I'd provide technical details for review, and raise the question with a wider audience. _______________________________________________ Imports mailing list [email protected] https://lists.openstreetmap.org/listinfo/imports
