TGE hosted a workshop to begin the second phase of our collaboration on AI for Earth Observation and Field Boundaries. Learn how to get involved.| Taylor Geospatial Engine
Learn about our plan for Phase 2 of the AI for Earth Observation and Field Boundaries Initiative and how to get involved. The post Join TGE in Phase 2 of AI for Earth Observation and Field Boundaries appeared first on Taylor Geospatial Engine.| Taylor Geospatial Engine
[et_pb_section fb_built=”1″ _builder_version=”4.24.3″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_row _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.3″ _module_preset=”default” global_colors_info=”{}”] TGE’s goal is to ...| Taylor Geospatial Engine
A couple of months ago a great group of people gathered in St. Louis and participated in the final workshop and showcase for the first TGE Innovation Bridge, focused on agricultural field boundaries. It was an awesome event, and a great wrap up to an amazing set of work that launched fiboa and Fields of The World. There will be more communication about the event, but the goal of this post is to share a bit of a deep dive on a demo that was pulled together to demonstrate the power of the schem...| Taylor Geospatial Engine
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
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.| Taylor Geospatial Engine
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.| 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
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."| Taylor Geospatial Engine
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.| Taylor Geospatial Engine
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...| 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
