Project Geospatial Project Geospatial

Summary
Josh Campbell gave a lightning talk at FedGeoDay 2024, introducing the World Polygons data set that was recently released after four years of work.

Highlights
🌍 World Polygons data set released after four years of work
🗺️ Boundaries are crucial for foreign policy and cartographic purposes
🌐 Lines in base maps can be challenging for the US Government
🌐 World Polygons provides vertex perfect country or entity polygons
🌐 World Polygons available for download at geodata.state.gov
📊 Data set designed to be a Rosetta Stone for integrating with other country data
📥 Download includes GIS application file and styling file for easy use

Summary
Jeremy Malczyk, a Cloud geographer at Google, discusses how AI is used to refine and analyze large amounts of data in the cloud. Google’s Earth Engine platform combines open source and proprietary tools to deliver actionable insights from 100 petabytes of data, covering 40 years of imagery. They have also developed land cover and cloud monitoring products using AI, which have practical applications such as monitoring changes on the ground and saving costs for the US Census Bureau. Google is working towards building comprehensive models that can understand and analyze various aspects of the world, such as agricultural boundaries and multimodal imagery.

Highlights
🌐 Google’s Earth Engine platform combines AI and cloud tools to analyze massive amounts of data.
📊 Land cover and cloud monitoring products have been developed using AI, resulting in valuable insights.
💡 Google aims to build comprehensive models that can understand different aspects of the world.
🌍 These models have practical applications, such as monitoring changes on the ground and supporting sustainable agriculture.
📈 The use of sophisticated AI models has improved the value obtained from data analysis.
🚀 Google is integrating its AI platform with open-source tools and frameworks like TensorFlow.
📚 Google’s collaborative ecosystem allows users to access and utilize the Earth Engine platform effectively.

About FedGeoDay:
FedGeoDay is the premier annual event for the open source geospatial community within the U.S. federal government. It brings together federal program managers, technology leaders, industry partners, and open-source enthusiasts to share ideas, showcase innovations, and foster collaboration around open geospatial technologies, data, and practices. FedGeoDay highlights the growing importance of open source in building resilient, efficient, and collaborative geospatial solutions for the federal government and beyond.

Summary
Dr. Daniel Roman from Noah’s National Geodetic Survey (NGS) discusses the modernization of the National Spatial Reference System (NSRS) to improve accuracy and accessibility of geospatial data.

Highlights
🌍 The NSRS provides a consistent coordinate system for latitude, longitude, height, and gravity.
🔄 Modernizing the NSRS aims to meet modern needs and ensure compatibility with global colleagues.
📊 Access to a consistent and accurate reference system allows for integration of various data sets.
📐 NGS will replace existing datums with new reference frames specific to US states and territories.
🛠 Transformation tools will be provided to convert data from the current datum to the new reference frames.
📍 Determine your precision and accuracy requirements to select the appropriate tools and methodologies.
📚 Training videos and data expertise are available to assist with understanding and utilizing the updated NSRS.

Summary
This panel discussion at FedGeoDay 2024 focused on the use of AI and remote sensing in geospatial data. Panelists discussed their current use of AI/ML, successes, challenges, and future possibilities.

Highlights
🌍 The panelists represented organizations such as Oakridge National Laboratory, US Forest Service, NASA, and US Geological Survey.
🏢 The Forest Service is passively using AI/ML in geospatial programs and exploring use cases, legal ramifications, and policy implications.
🗺️ The US Geological Survey is actively using AI/ML in various applications, including characterizing landform data using historical maps.
🚀 NASA has experimented with AI/ML in autonomous drone research, wildfire prediction, hurricane strength prediction, and space telescope data analysis.
🌆 Oakridge National Laboratory is using AI/ML in population modeling, mapping built infrastructure, and merging data sets using natural language processing (NLP).

About FedGeoDay:
FedGeoDay is the premier annual event for the open source geospatial community within the U.S. federal government. It brings together federal program managers, technology leaders, industry partners, and open-source enthusiasts to share ideas, showcase innovations, and foster collaboration around open geospatial technologies, data, and practices. FedGeoDay highlights the growing importance of open source in building resilient, efficient, and collaborative geospatial solutions for the federal government and beyond.

This panel explores the advantages of open source geospatial data and software for intelligence gathering. Discover real-world examples and the potential of large language models in this field! 🚀🔍

Highlights
* Open source geospatial data and tools are becoming increasingly important 🗺️
* You can find valuable information using open source geospatial data 🔍
* Chat GPT is a helpful tool that can be used to write code and scripts 🤖
* Interoperability is a major issue with geospatial data and tools 🧩
* Hybrid space AR architecture and large models have great potential 🚀

About FedGeoDay:
FedGeoDay is the premier annual event for the open source geospatial community within the U.S. federal government. It brings together federal program managers, technology leaders, industry partners, and open-source enthusiasts to share ideas, showcase innovations, and foster collaboration around open geospatial technologies, data, and practices. FedGeoDay highlights the growing importance of open source in building resilient, efficient, and collaborative geospatial solutions for the federal government and beyond.

Summary
Robert Pitts, from New Light Technologies, introduces their consultancy’s work in building data infrastructures and user experiences to support various organizations in improving outcomes and equity in areas such as public health, economic prosperity, and emergency management. They have developed an incident management tool called IMPACT that assesses risks in real time and provides reliable exposure predictions using AI models and advanced risk scoring methodology. The tool ingests open data sources and disseminates information through alerting and reporting services, web platforms, and APIs. Their approach has successfully overcome challenges in delivering actionable insights for emergency management by leveraging open data, science, modeling, and open source software.

Highlights
🌐 New Light Technologies is helping build data infrastructures and user experiences to support various organizations.
🌀 The IMPACT tool assesses risks in real time and provides reliable exposure predictions using AI models and advanced risk scoring methodology.
🌍 Open data sources are ingested into a cloud-based modeling and workflow engine, which feeds the web reporting platform.
📊 The tool provides actionable insights for emergency management, supporting logistics planning, evacuations, and damage assessments.
🚀 New Light Technologies leverages the growing ecosystem of open data, open science, modeling, and open source software.