At issue in this paper is of course also the motivation for the development of descriptive data about real properties (or real estate). An initial driver to embark on this research has been the disappointment when faced with the lack of detailed information about objects shown in Internet-maps on Google Earth or BingMaps, and the expectation that such information could be available at very little extra cost from image sources in existence for other purposes. Were such detailed information to exist, it could be useful in location-based decisions of both commercial and public interest, and in a better administration of municipal resources. The more thorough use of vertical aerial photography is globally expected to be augmented by significant efforts to conflate various 2D Geodata sources, to be added to business and private address data bases and parcel data, and by the start of massive collections of GNSS and cellular traces. This is separate from an increasing interest in human scale details of urban data that is reflected initially in the form of street-side imagery taken by moving vehicles, but in the long run is expected to come from Community-Photo-Collections (CPC), such as those in FLICKR. This in turn will be part of a broader concept of user-generated content (UGC).