One of the major outputs of Taylor Geospatial Engine’s first Innovation Bridge is the recently released Fields of The World dataset, also known as FTW. We wanted to take some time for a deep dive into the core idea, the various parts of the effort, and where things could go from here.| Taylor Geospatial Engine
As part of our showcase of the seed grant awardees for the Field Boundaries for Agriculture initiative, Taylor Geospatial Engine is pleased to highlight Jed Sundwall and Radiant Earth.| Taylor Geospatial Engine
At TGE, 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. The post Celebrating Our Community’s Success app...| Taylor Geospatial Engine
As part of our showcase of the seed grant awardees for the Field Boundaries for Agriculture initiative, Taylor Geospatial Engine is pleased to highlight Dr Nathan Jabobs. Dr Jacobs is Director of the Multimodal Vision Research Laboratory (MVRL) and a Professor of Computer Science and Engineering at the McKelvey School of Engineering at Washington University in St. Louis, MO. His research centers on developing learning-based algorithms and systems for extracting information from large-scale im...| Taylor Geospatial Engine
TGE selected Dr. Hannah Kerner as an academic seed grant awardee for the Field Boundaries for Agriculture initiative. Dr. Kerner is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. Dr. Kerner is pioneering new machine learning techniques to leverage remote sensing data in addressing global challenges such as food insecurity and climate change.| Taylor Geospatial Engine
The Field Boundaries for Agriculture Initiative is advancing the methodologies to create, share and update datasets containing field boundaries for increased understanding of sustainable global agricultural systems. To that end, the project is seeding progress in AI and computer vision models to extract field boundaries from earth observation imagery. In parallel, we are outlining a framework for publishing data in the cloud for open, collaborative use to reduce the common resource drain asso...| Taylor Geospatial Engine
Following our last blog post outlining Taylor Geospatial Engine’s (TGE) Innovation Bridge program, we are pleased to now share details about our first initiative. As a reminder, the Innovation Bridge Program is intended to facilitate and accelerate the process of commercializing geospatially-centered research and development projects and prototypes. Our process framework is centered around engaging a broad set of experts and stakeholders to:| Taylor Geospatial Engine