At Taylor Geospatial Engine our guiding principle is to contribute purposefully by elevating research-grade innovation into user-friendly and accessible capabilities that have broad awareness and reach. Because we are a very small team, this means that we are heads down most of the time.
It’s important this week to take a minute to pop up and do a little celebrating! Two very different efforts, that are both critically important to us, have reached milestones.
First, the collaborators who jumped in with us on our very first initiative, have achieved a huge accomplishment: they released the largest dataset ever built for training, validation and testing machine learning models for extracting field boundaries from satellite imagery. Fields of the World, for the win!
Thanks to the teams under the direction of Hannah Kerner at ASU, Caleb Robinson at the Microsoft AI for Good Research Lab, and Nathan Jacobs at Washington University in St. Louis for trusting the team at TGE to join you in building something monumental. Congratulations!
Read more about the project and the open and accessible data, tools and community around it:
Second, TGE was thrilled to contribute to the Center for Strategic & International Studies’ latest report on the Commercial Remote Sensing Global Rankings. TGE both sponsored and contributed to the research that generated this latest assessment of the satellite industry. There are many takeaways – and we look forward to continued discussions related to space policy, acquisition policy, and, especially, what innovations will allow for all of that earth observation data to be impactful!
Read the report and more about the impact it is already having:
* Header image source: NASA Visible Earth Catalog; Bends of the Alabama River taken June 26, 2023.