Today on the podcast I am joined by Dr. Aliastair Graham. Dr. Graham has been on the podcast before sharing his insights into the industry of remote sensing and earth observation and what the future might look like. This time we dive a little deeper and talk about the differences between remote sensing and earth observation, Aliastair walks us through 4 major data collection platforms and the data that these platforms provide and where and how we might find it.
This episode is sponsored by GraphHopper
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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.