@googleearth

Discover geospatial datasets and tools, AI capabilities, and planetary-scale insights from Google Earth, Google Earth Engine and Google Maps Platform

 Mountain View, CA
g.co/earth
Joined April 2009
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Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. goo.gle/4fBYnWO We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!
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Urban planner, Alejandra Macarena Tomietto, used Google Earth to plan the future of Buenos Aires. goo.gle/4cZepYM Analyzing vast metropolitan areas to track urban expansion, infrastructure needs, and environmental risk, Alejandra mapped 2,567 square kilometers to protect 400,000 residents living in high environmental risk zones. She combined Google Earth's historical imagery with data layers to visualize development patterns and inform better planning decisions across the region: "Google Earth helped us anticipate the future by showing real-world development patterns. By observing how these patterns were developing, we could predict where the city was expanding and identify open spaces available for services. It turned a mountain of abstract geographic data into a clear, visual language that we could actually use to plan effectively. We were tackling something deeply complex, and Google Earth made it feel easy."
An image of Buenos Aires.

ALT An image of Buenos Aires.

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Learn how to use Google Earth's new change detection tool from the team that built it! goo.gle/4xL0fSr By applying this new capability to site analysis, Juan Francisco Saldarriaga will teach you how to use the tool and combine it with historical imagery to save time at work.
An image depicting change detection in Google Earth

ALT An image depicting change detection in Google Earth

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Detect where and when change happened, anywhere on Earth. goo.gle/4ygvCWf Historical imagery already lets you travel through time and gives essential context for projects. But, finding change across time and space can feel like a needle in a haystack. With Google Earth's new tool, detecting change is as easy as point and click: ⚡ Activate the tool and see an instant preview. 📅 Pick two years and compare annual intervals between 2017 and 2025 across your area of interest. ✏️ Draw a polygon to get increased granularity from 40-meters to 10-meters and save the view to your project. 🔥 Read the heatmap to see where the planet changed. 🕰️ Dive into historical imagery and historical street view to inspect further and inform what tools or data layers you might need next! Learn more: goo.gle/4yibD9w
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Analyze sites with new tools in Google Earth. goo.gle/4j3kNSH Every project starts with the same question: is this the right site? Now you can answer it in Google Earth, before resources are committed or field work begins. • Detect change: See exactly where and when a site changed over time with a saveable heatmap. • Terrain analysis tools: Evaluate elevation contours, slope, aspect, and cut and fill from your desk or the field, with point and click tools. These tools are available on all Google Earth plans. Standard allows you to generate one layer with a tool each month. Professional plans include expanded access and capabilities when you need more tools, a larger site, or both. Learn more: goo.gle/4y6x2Cl
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Nobody knows your sites, land, and communities better than you do. goo.gle/4z4p6Sv Now you can turn that local knowledge into custom map layers with the new classify tool in Google Earth on the web, in Experimental. ✏️ Draw your area: Outline a site, or select a polygon already in your map project. Pick a year, 2017 to 2025. 🗂️ Name your own classes: Define the categories your work depends on, from plant species and dry brush to cleared firebreaks. 📍 Label and iterate: Place sample points across your site. Google Earth reads every 10-meter square, fills in the rest, and sharpens as you add points. No code required. 📤 Share and export: Your custom layer lives in your map project, and you can download your work as a GeoJSON file for further analysis. Google's leading geospatial models are now within reach for professionals who want to save time, or who never trained in geospatial coding.
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Learn more: goo.gle/4yAzEYY

Introducing classification in Google Earth – Google Maps Platform

Introducing classification in Google Earth: Turn your visual observations into custom categorical maps with zero code required.

mapsplatform.google.com
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Learn how to use Google Earth's imagery for work. goo.gle/4cO289o Learn how to master all of Google Earth's different imagery types from Product Lead, Brian Ho. • Navigate 3D imagery: Inspect building heights, structural clearances, and line-of-sight perspectives directly from your desk. • Review historical imagery: Track environmental shifts using four decades of satellite baselines back to 1984 and aerial photography dating to the 1930s in select cities. • Inspect street-level ground truth: Validate curb cuts, utilities, and road conditions across more than 280 billion Street View images.
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Master professional Google Earth workflows. Watch the complete tutorial with Product Lead Brian Ho. goo.gle/4j2T6cq • Inspect 3D imagery: Examine site boundaries, structure heights, and sight lines directly on the real-world canvas. • Add curated data layers: Overlay parcel boundaries, zoning regulations, and elevation models directly in your workspace. • Assess terrain remotely: Run point-and-click tools for elevation profile, slope, cut and fill, and more. • Delegate work to a geospatial agent: Learn how to work with Ask Google Earth.
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Today we’re bringing AI image generation with Nano Banana to Google Earth, letting you virtually reimagine anywhere in the real world. 🍌 goo.gle/44SUsOP For the first time, you can generate custom images using Google Earth’s satellite, aerial, and 3D imagery. 🌎
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🎨 Ready to try it? We're launching a challenge. Here’s how to play: - Zoom into any place on Google Earth - Tap “create image” - Fill in the blanks of our prompt and paste into the text box - Show us what you made Your mission: create something beautiful, fun or simply helpful. Tag us. We’ll repost our favorites. #goBananas
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Thanks for your submissions, we appreciate it - unfortunately we have seen people sharing screenshots of generated imagery that appear to violate our policies. So we've rolled back this feature in Google Earth while we work on implementing stronger guardrails.
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Challenge 1: Pet Paradise or Habitat 🐶🐱 In Google Earth: zoom into a place and tap “create image.” Then paste in this prompt, fill in the blanks, and hit enter. "Adapt this space as a luxurious, five-star animal resort with a large [Main Feature]. The structure is built from [Material]. Include my [pet type]." Reply with your creation! #goBananas
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Challenge 2: 📝Architecture & Real Estate Plans In Google Earth web: zoom into a place and tap “create image.” Then paste in this prompt, fill in the blanks, and hit enter. "Reimagine [Area of Interest] as a vibrant [Your Vision] made of [Material]. Show the scene in [Season] at [Time of Day] to give it a [Your Vibe] aesthetic. Reply with your creation! #goBananas
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A lot has changed on Google Earth recently. Learn how to take advantage of our new professional features from Group Product Manager, Brian Ho, in our new Google Earth Tutorial! goo.gle/4fY9ZTA You'll learn about everything from data importing and imagery to Gemini-capabilities. Use these new skills to help you save time at work and bring your ideas to life.
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We are thrilled to announce that eligible organizations can now apply for Google Earth credits through the Google Maps Platform (GMP) Public Programs. goo.gle/4pJ0nQ5 For decades, environmental and social benefit professionals—from conservationists protecting wildlife to public health officials improving sanitation infrastructure—have relied on Google Earth to turn planetary data into real-world action. This program is specifically tailored for organizations aligned with sustainability and public health goals. In addition to free capabilities available in our Standard plan, this credit program gives your organization expanded access to even more of Google Earth’s latest advanced web capabilities and tools, such as: - Large-Scale Data Import - Advanced Data Layers - AI-Powered Analysis Ready to Get Started? Before applying for credits, we encourage you to explore the new Google Earth plans and sign up for a free trial. If, after your trial, you would like to continue your plan you can check your organization’s eligibility and submit your application for Google Earth Credits via GMP Public Programs. Credits are valid for 12 months. Recipients must report on their impact (i.e. hectares protected, emissions reduced, or lives impacted) and can request an extension at the end of the cycle.
A screenshot of a GIS mapping application interface displays a satellite view of a forested region near Leverett, Massachusetts, with several data layers overlaid. The main map area features a large purple-outlined polygon for the Doolittle Brook Conservation Area containing yellow contour lines, along with labeled points for water quality and fish toxics. A left sidebar titled "Map contents" lists various active and inactive layers, including "Study Area Slope" and a "Digital elevation model," complete with their respective color-coded legends.

ALT A screenshot of a GIS mapping application interface displays a satellite view of a forested region near Leverett, Massachusetts, with several data layers overlaid. The main map area features a large purple-outlined polygon for the Doolittle Brook Conservation Area containing yellow contour lines, along with labeled points for water quality and fish toxics. A left sidebar titled "Map contents" lists various active and inactive layers, including "Study Area Slope" and a "Digital elevation model," complete with their respective color-coded legends.

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Relive 60 years of soccer history at Mexico City’s Aztec Stadium with Google Earth and Fundación ICA. ⚽🌎 goo.gle/4vEg24y Mexico City's Estadio Azteca made soccer history last month during the tournament opener between Mexico and South Africa. In hosting this match, it became the first stadium in the world to host games in three global soccer showdowns: 1970, 1986, and 2026. And now you can experience the storied arena without being in the stands. Through this collaboration, you can get an up-close look at Estadio Azteca through an interactive digital canvas and imagery dating to the 1960s.
A black and white aerial view image of a stadium and the surrounding area.

ALT A black and white aerial view image of a stadium and the surrounding area.

An aerial view of a stadium with turf visible on the field.

ALT An aerial view of a stadium with turf visible on the field.

An aerial view of a stadium and surrounding parking.

ALT An aerial view of a stadium and surrounding parking.

A black and white wide shot of a stadium.

ALT A black and white wide shot of a stadium.

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Generate your script, inspect the diff, merge with confidence. We just launched Ask in the Google Earth Engine Code Editor. It brings Gemini capabilities directly into the Code Editor to help you write, debug, and understand geospatial queries without leaving your workspace. goo.gle/4ytSAtw Here is what you can do today: 🗺️ Ask in plain English: get clean JavaScript for cloud masks, NDVI composites, charts, and more. 🛠️ Troubleshoot with one click: let Ask automatically diagnose console errors and generate syntax fixes for you. 🔍 Keep full technical control: review side-by-side code diffs before merging anything into your active script. Ask is context-aware. It reads your active code, imported information, and session history, acting as a collaborative colleague that knows your project structure.
An AI-powered "Ask" interface in a software environment provides an explanation and JavaScript code for visualizing 10 years of deforestation in California using the Hansen Global Forest Change dataset. The interface features navigation tabs for Inspector, Console, Tasks, and Ask at the top, and includes a text box at the bottom for follow-up questions. The main content explains the dataset's "lossyear" band and provides a code snippet to filter and display data from 2014 to 2023.

ALT An AI-powered "Ask" interface in a software environment provides an explanation and JavaScript code for visualizing 10 years of deforestation in California using the Hansen Global Forest Change dataset. The interface features navigation tabs for Inspector, Console, Tasks, and Ask at the top, and includes a text box at the bottom for follow-up questions. The main content explains the dataset's "lossyear" band and provides a code snippet to filter and display data from 2014 to 2023.

An AI chatbot interface under the "Ask" tab features a text input field at the bottom with the typed prompt, "Show me areas in California that have been deforested in the last 10 years." Below the prompt text, a dropdown menu is set to "Gemini 3 Flash Preview" next to a "Tools" menu and a blue send icon. The top header shows tabs for Inspector, Console, Tasks, and Ask, with a counter indicating zero tokens used.

ALT An AI chatbot interface under the "Ask" tab features a text input field at the bottom with the typed prompt, "Show me areas in California that have been deforested in the last 10 years." Below the prompt text, a dropdown menu is set to "Gemini 3 Flash Preview" next to a "Tools" menu and a blue send icon. The top header shows tabs for Inspector, Console, Tasks, and Ask, with a counter indicating zero tokens used.

A software interface shows the active "Console" tab with an error message box that reads "Error Line 9: A mapped function's arguments cannot be used in client-side operations." Below the error message is a "Troubleshoot" button, and at the bottom of the screen, a map of Nova Scotia is visible with buttons for "Map" and "Satellite" views.

ALT A software interface shows the active "Console" tab with an error message box that reads "Error Line 9: A mapped function's arguments cannot be used in client-side operations." Below the error message is a "Troubleshoot" button, and at the bottom of the screen, a map of Nova Scotia is visible with buttons for "Map" and "Satellite" views.

The interface for an AI assistant named "Ask" displays a user's prompt regarding a script error: "Line 9: A mapped function's arguments cannot be used in client-side operations. Can you help me fix it?" Below the text box are controls for selecting the "Gemini 3 Flash Preview" model and "Tools," along with a blue send icon and a disclaimer about AI accuracy. The top navigation bar includes tabs for "Inspector," "Console," and "Tasks," while the bottom of the screen shows a portion of a map of Nova Scotia.

ALT The interface for an AI assistant named "Ask" displays a user's prompt regarding a script error: "Line 9: A mapped function's arguments cannot be used in client-side operations. Can you help me fix it?" Below the text box are controls for selecting the "Gemini 3 Flash Preview" model and "Tools," along with a blue send icon and a disclaimer about AI accuracy. The top navigation bar includes tabs for "Inspector," "Console," and "Tasks," while the bottom of the screen shows a portion of a map of Nova Scotia.

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Ready to turn planetary-scale data into instant conservational insights? 🌍 Nicholas Clinton, Alicia Sullivan, and Sheba Rasson are here to introduce custom Geospatial AI Agents built with the Agent Development Kit and Google Earth Engine! 💻✨ 🧠 Reason through ambiguity. 🛠️ Orchestrate Google Earth Engine datasets. 📝 Generate clear narratives. 📂 Try open-source examples. Read the full guide to build your first agent. goo.gle/4vcje7Y
A flow diagram illustrates the creation of a "Sustainable Sourcing Agent" by processing "Geospatial data" from sources like the Forest Data Partnership, openforis, Whisp, and Alpha Earth through "Earth Engine." The output of Earth Engine, along with an "AI Knowledge Base," flows into an "Agent Development Kit" to produce the final agent, which is shown on a laptop screen with the Gemini logo.

ALT A flow diagram illustrates the creation of a "Sustainable Sourcing Agent" by processing "Geospatial data" from sources like the Forest Data Partnership, openforis, Whisp, and Alpha Earth through "Earth Engine." The output of Earth Engine, along with an "AI Knowledge Base," flows into an "Agent Development Kit" to produce the final agent, which is shown on a laptop screen with the Gemini logo.

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