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In this interview with Mike Dolbow, CEO of GeoHipster we talk about the opportunities within the geospatial industry that come with a deep understanding of a specific vertical. What newcomers to the industrial should think about focusing on and why. Mike debunks the 80% of all data has a spatial component myth and gives his perspectives on the future of the geospatial industry.
All of this might sound a little dry and perhaps it would be if Mike was not so open, honest and passionate about the subjects we discuss. I really enjoyed this conversation and I am sure you will too.
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!
To put it simply, point clouds are a collection of XYZ points that represent some real world object of nearly any scale.They can be generated in a few ways. As geospatial scientists, we mostly work with LAS/LAZ data collected by aerial LiDAR (light detection and ranging) scanners at varying scales, from landscapes, down to project sites. We may also derive point clouds from highly detailed orthoimagery of an area, such as from the products of a drone flight.
As a data scientist, you don’t just go in and solve problems. You make recommendations to multi-faceted issues so that you get a fantastic model in the end. You’ll also be advocating a better use and understanding of the data while you do that.