News Archives - Taylor Geospatial Engine

Innovation Bridge Community Spotlight: Dr. Nathan Jacobs

Sep 20, 2024

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 image collections.

Join Us at Geo-Resolution 2024

Sep 6, 2024

Join the Taylor Geospatial Engine team on September 12, 2024 in St. Louis, MO for the 2024 Geo-Resolution conference. This year’s conference focuses on the development and application of geospatial models, such as digital twins, that can be used to address some of the world’s most critical challenges.

Creating Interoperable Field Boundary Data with the fiboa Converter Tool | Cloud-Native Geospatial Foundation

Aug 13, 2024

Taylor Geospatial Engine and the core team of the Field Boundaries for Agriculture (fiboa) project are happy to share another technical update from Matthias Mohr and the Cloud-Native Geospatial Foundation on the continued development of open source tools to accelerate innovation in AI and computer vision models to extract field boundaries from earth observation imagery.

Innovation Bridge Community Spotlight: Dr. Hannah Kerner

Aug 5, 2024

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.

Field Boundaries for Agriculture Mid-point Progress Report

Jun 25, 2024

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 associated with managing large global geospatial datasets.

The Importance of Farm Field Boundaries

Jun 4, 2024

This week Taylor Geospatial Engine is honored to share a blog note from one of our core partners in the Innovation Bridge Field Boundaries initiative, Radiant Earth.
“One of our major initiatives this year has been to support the Taylor Geospatial Engine’s first Innovation Bridge program, which is a program designed to accelerate commercialization of geospatial research efforts.”

The role of AI in unlocking the potential of imagery for global insights

May 23, 2024

As we have written recently, Taylor Geospatial Engine (TGE) created the Innovation Bridge framework to accelerate the commercialization of geospatial research. Our first Innovation Bridge initiative aims to expand and mature the market for applications of AI and ML systems on earth observation imagery. We believe this will help unlock the innovation potential of geospatial data in understanding global food security and sustainability.

Innovation Bridge Update – Introducing fiboa | Cloud-Native Computing Foundation

Apr 26, 2024

As part of Taylor Geospatial Engine’s Innovation Bridge Program we are thrilled to be able to share a technical update and closer look at the Field Boundary for Agriculture (fiboa) community’s progress on advancing research and development around the application of AI and computer vision to earth observation imagery from one of our partners the Cloud-Native Geospatial Foundation.

Taylor Geospatial Engine’s First Innovation Bridge

Apr 3, 2024

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:

Introducing Taylor Geospatial Engine And The Innovation Bridge Program

Mar 25, 2024

The Taylor Geospatial Engine is a non-profit, established in June 2023, with founding philanthropic funds from Andrew C. Taylor. Taylor Geospatial Engine (TGE) is a sister organization to the Taylor Geospatial Institute (TGI), which fuels research and collaboration around innovative geospatial approaches at eight Midwest research organizations. TGI focuses on core geospatial science and applying it to sustainable agriculture, public health and national security. TGE’s mission is to identify ways to find commercial applications for early stage, academic geospatial R&D.

The Impact of TGE