Google Maps Platform’s Post

Google Maps Platform reposted this

Today, we announced Geospatial Reasoning, a new research effort that will leverage the power of generative AI to help gather novel insights about our world. What it does: Imagine asking complex questions about our planet—like assessing hurricane impacts or planning city infrastructure—using natural language. Geospatial Reasoning aims to provide comprehensive answers, complete with detailed plans, data visualizations, and clear explanations, all grounded in robust geospatial information. How it works: This innovative approach will use Gemini's 2.5 advanced reasoning capabilities to understand complex questions in natural language. It then will intelligently plan and orchestrate analysis across diverse geospatial data sources – including maps, socioeconomic data, satellite imagery, and your own proprietary datasets. Gemini will then synthesize information gathered from these sources and specialized AI models to deliver insightful results. Grounded by new foundation models: Key to this process is grounding the reasoning in real-world data analysis. This is powered by our specialized geospatial foundation models, including newly announced remote sensing foundation models. Trained on vast amounts of satellite and aerial imagery, these models provide deep domain understanding helping to analyze the imagery, identify features, and even respond to natural language queries about the imagery, helping ensure the Geospatial Reasoning answers are accurate and reliable. Real-world applications: - Public Health: Understanding disease spread and optimizing interventions. - Climate Resilience: Modeling climate risk and planning effective adaptation. - Commercial Applications: Enhancing logistics, site selection, and demand forecasting. Read more about the announcement: https://goo.gle/3XOO5sF Learn more about Geospatial Reasoning and foundation models here: https://goo.gle/42jJVKK Complete this form to receive updates on our progress, including announcements about new offerings, and opportunities to join our trusted tester program: https://goo.gle/4j9hkir

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Arup Dasgupta

Adviser GKI at Geospatial World

1w

This is going to be pathbreaking. So far I have not seen a sensible AI approach to a spatial analytical problem. Some practical use cases will be welcome but in spatial domain not text descriptors only

Masud Karim

Robotics - Autonomous Operations || GIS | AutoCAD | Lean Six Sigma | ML-DL | Web Dev || Hydro-Climate ||

4d

That’s Impressive, Looking forward to Work with you! Thanks Google Research for bringing this to life.

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Impressive innovation, Google Research team! I’m thrilled that Planet is participating in the trusted tester program, and I’m excited for the bright future of geospatial intelligence.

Chaitali Deb

Corporate HR Manager | LinkedIn Certified Recruiter, Leadership Hiring - Global | Talent Management | SHRM APAC, UK, Africa & USA | Investment Bank, Morgan Stanley & UBS | Employee Retention | MHRD | Switzerland

1w

Big thanks for sharing. Please provide more information on the strategies.

Debabrat (Deb) Sukla

Senior Communication Officer at ICIMOD |📢 Communicating the climate crisis|ex-consultant @X-Leap @IIHS|Strategic Communications|Outreach|Newbie Content Marketing

1w
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Craig Parker

Data Scientist @ Wits Planetary Health Research | Data Science

6d

Looks great

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Dinesh Babu, PhD

Vice President - Technical & Presales(Geospatial)| Doctorate in Business Administration, ESG & Sustainability, ESGCI School of Management, Paris | Ph.D, Geospatial Tech. Forest, Laval University, Canada

1w

Awesome product

Lucas Boaventura

| Analista de Geoprocessamento | Engenheiro Ambiental | Estudante de Ciência de Dados |

1w
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