Mapping has become mainstream with the introduction of Google Maps, Bing, and Apple Maps (later), in parallel with the collaboration based OpenStreetMap project which are among the most fundamental applications on smart devices in our world where spatial awareness is increasingly becoming important. These Internet Giants operate large fleets of mobile mapping vehicles to acquire street level data and buy airborne and satellite imagery to continuously update their databases. In contrast, OpenStreetMap relies on voluntary geographic information; data acquired by ordinary users who not only collect but can enter and edit the database. While there are many more relevant differences between the two approaches, the message here is clear that the user of map data can also be the source of the map data. As the sensing capabilities continue to grow, crowdsourcing or (crowdsensing) will gradually become a strong competitor to professionally acquired geospatial data. Currently, the competition is limited to mobile mapping data, acquired mainly in urban areas, but as the use of UAS is expanding, largescale airborne data will soon be available in volume. This will potentially provide coverage for most areas where mapping data is needed for personal and vehicle navigation as well as location-based services in general. For example, the performance of crowdsourced traffic data simply cannot be matched with traditional traffic data produced by transportation departments.