Variables tied to the distribution of resources and economic productivity in a market are known as economic indicators and colloquially known by names such as the Unemployment Rate and Housing Market Index. The numbers that support these indicators exist on many Excel™ spreadsheets and are used to support policy decisions around the world. It’s a …
Our community is perfectly positioned to evolve from analyzing landscapes retrospectively to looking forward. The next ‘killer app’ for geospatial isn’t an app at all, it’s probably the future.
I have better things to do. Is that on tonight? I forgot and now it’s half over. I can watch it later, on demand. I’m an adult, I won’t let them dictate when I can and can’t do something! At one point or another on Sunday night (April 15, 2019), all of these thoughts ran …
If there were one central theme to this year’s SatSummit, it would be: “machine learning will find all the things, but we need more training data.” It is clear that many teams are finding new and useful ways to leverage enormous amounts of imagery. Against a backdrop of copious compute and ingenious, learning machines, the remote sensing community is steadily moving towards a feature extraction utopia. That said, its fair to say we are not there yet.
