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Collecting and validating geospatial data for every commercial location in the USA and Canada is not an easy task. It requires aggregation of data from multiple sources and formats. This data then needs to be validated and decisions need to be made about which data sources represent the truth in the case of conflicting data. Safegraph does this weighing datasets based on certain criteria and using a voting system.
Data is being scraped and curated from multiple different sources but it some cases it is also necessary to create data. Think of the use case of a shopping center. If you think of the shopping center as being a collection of geometries where the entire shopping center is the parent geometry and the individuals business in the shopping center are child objects. In this situation, Safegraph has had to digitize entire shopping centers manually in order to properly represent the parent/ child geometry relationships.
This episode is sponsored by HiveMapper
A platform that takes video and creates 3D mapping layers based on that data. The video can be from avariety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!
Commercial imagery resolution is down to 30 centimeters.With modern interpolation techniques, you can produce images with a 15-centimeter resolution equivalent. You canidentify features in pastures that otherwise would not have been visible. Counting livestock is important on several levels — for animal disease control and for inventory.
The applications of the satellite systems are endless and we separate them into different market segments. For example,agriculture,location-based services (mainly phones),transport usages (navigation on roads, rail or maritime), andaviation (landing procedures heavily rely on EGNOS).Thegeomatics market is important; it’s a segment that’s usually the first adopter because they need the highest precision locationing.