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Master professional Google Earth workflows. Watch the complete tutorial with Product Lead Brian Ho. • 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. •...

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Google Earth

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34,140 просмотров • 1 день назад •via X (Twitter)

ОбразованиеНаука и технологии
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Комментарии: 4

Фото профиля techyeslogy 🇹🇷🇵🇸
techyeslogy 🇹🇷🇵🇸1 день назад

For the mobile app, could you add a backgroundless 2x2 (expandable) moving live(day and night) globe widget?

Фото профиля FarisSpace
FarisSpace13 часов назад

Google Earth is evolving from a visualization tool into a powerful geospatial intelligence workspace. 🌍 3D context + terrain analysis + data layers + AI agents = a smarter way to understand, plan, and build in the real world. The future of spatial computing is already here.

Фото профиля Christopher Samelius
Christopher Samelius1 день назад

Thats why i love Google Earth.

Фото профиля Fui Afeku
Fui Afeku21 часов назад

Good evening @Android @Google: score spectacle reimagining gripping imagery rolled calligraphic energy tripping bills,illustrations and lessons regulating regional ventures destiny; interview schemes deserting ‘wellness issue’ recalibrating assignment limits cites a study,bravo!

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Beautiful new raster data layers are now available on Google Earth’s intuitive, no-code canvas. 🗺️👉 With the analytical power of Google Earth Engine directly integrated into Google Earth, geospatial analysis is as easy as point and click. Rolling out over the coming days, you will have access to ten new raster layers from Earth Engine's iconic data catalog, including: • Slope • Aspect • Land cover • and more It's never been easier to quickly combine raster data, vector data, imagery, and your own data to save time and make better decisions. Explore these new data layers, now.
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Streamline early-stage workflows with new terrain analysis data layers. ⛰️ Use our new digital elevation model to visualize slope and elevation constraints directly on our 3D canvas. Whether you are trying to speed up site assessment or ensure site feasibility, you can now analyze terrain and validate reality remotely. This is just one of countless powerful data layers now available to help you make better decisions, faster.
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Today, we’re thrilled to announce the launch of Shapefile and 3D model import support on Google Earth. Plus, we’ve also added elevation profiles to the measure tool just for… good measure! You’ve made it clear. You want to be able to bring more of your data and models to Google Earth’s real-world canvas. We're excited to take the next step in delivering on that promise with these new features: 🔶 Shapefiles (SHP): Render industry-standard geospatial data as performant, cloud-native layers. 💡 3D Models (GLB): Place custom architectural mock-ups, massings, and more in a visually rich context. 🗻 Elevation Profiles: View detailed terrain data in the measure tool you already know and love. These new features are live now on Google Earth!
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Terrain analysis can be make or break for a project.🏗️ Mitigating risk when big deadlines are at play is essential. Even in the city, the grade dictates the budget. Professionals in planning, construction, architecture and more use no-code tools in Google Earth to visualize topography before breaking ground. Combine powerful data layers, on-demand tools, and rich imagery to make better site selection decisions, faster. #googleearth #GIS #BIM

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12,869 просмотров • 7 месяцев назад

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GeoLibre v2.0.0 is here! GeoLibre is a free and open-source geospatial platform that runs everywhere: as a native desktop app, in the browser, on Android, and embedded right inside Jupyter notebooks. It brings modern web mapping, cloud-native data formats, and a full processing toolbox together in one place, all built on MapLibre and with no proprietary lock-in. Our first major release adds a true 3D globe, takes mapping beyond Earth to Mars and the Moon, lets styles round-trip with QGIS, and turns loaded vector layers into editable, save-back-to-source data. What's new in v2.0.0 - Planetary mapping: explore Mars, the Moon, and other bodies with the OpenPlanetaryMap basemaps, a per-project ellipsoid, and a planet switcher right in the Layers panel. - CesiumJS 3D globe: switch any map pane to a photorealistic 3D globe that stays camera-synced with your 2D maps and mirrors the layer stack. - True 3D data: render vector layers with Z coordinates, load TIN/MultiPatch 3D shapefiles, and display KML/KMZ Collada (.dae) 3D models. - Symbology interchange: import and export vector styling as OGC SLD, QGIS QML, and Mapbox GL style JSON, so styles round-trip between GeoLibre, QGIS, and the Mapbox/MapLibre ecosystem. - Editable source layers: edit vector layers and write the changes back to their source, including GeoPackage and GeoJSON files and PostGIS database tables. - Weather and sky: a new Weather menu with live cloud and precipitation radar overlays (RainViewer), plus a Google Earth-style sun position simulation for realistic lighting. - Terrain and lighting: double-click the terrain control to set vertical exaggeration, and view any scene in true 3D relief. - Smarter data import: bring in CSV without coordinates as an attribute table, split GPX track points and route points into separate layers, and load macOS-zipped and projected-CRS shapefiles. - Raster in the browser: build normalized-difference indices for any HTTP COG and extract COG/WMS/XYZ bounding-box subsets client-side. - Field Calculator upgrades: compute geometry length and area directly on your features. - Attribute table: multi-select rows with Ctrl and Shift, plus faster navigation. - Google Earth-style extras: "View in Google Maps / Google Earth" actions, camera-reset keyboard shortcuts, and a UTM easting/northing grid mode for the Gridlines overlay. - New plugins: a Mapillary coverage and street-level image viewer, a Historical Imagery panel, and an Elevation Profile tool. - Fully localized: all 13 language catalogs are complete, so the entire UI is translatable. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

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Google has added its flight simulator to the web version of Google Earth, making it available to all users worldwide. >The feature runs directly in any modern browser at with no downloads or installations required. >Users can open the simulator from the Tools menu after selecting Explore and pilot a virtual aircraft over detailed 3D terrain, buildings, and satellite imagery across the entire planet. >It uses simplified flight physics designed for casual exploration and works with standard mouse and keyboard controls.

Pirat_Nation 🔴

100,432 просмотров • 3 месяцев назад

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26,043 просмотров • 1 год назад

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63,126 просмотров • 4 месяцев назад

Hi Friends, for my first project created with GPT-6 Astra, I built the entire city of Seoul in 3D—a small revolution in digital geography! 😄 This interactive 3D miniature covers all of Seoul and its surrounding areas, and you can explore it yourself. It includes: • All 25 districts of Seoul and approximately 267,000 simplified building models • Rotate, zoom, and pan controls, plus an automated fly-through of 14 landmarks • Day, sunset, and night modes • Mobile touch support The buildings were generated from real-world map data, with their shapes simplified for performance. Terrain and building heights are exaggerated by 4× to make the cityscape easier to see. The entire process—from creating the project to completing deployment—took 43 minutes and 38 seconds minutes. Please note that the buildings are simplified models based on locations and footprints recorded in OpenStreetMap. Where height data is unavailable, estimated heights derived from the source data are used. The landmark models are interpretive recreations designed to emphasize their distinctive features, rather than survey-grade or photorealistic reconstructions of every building. The project is based on real road, waterway, elevation, and building data. • Maps and buildings: OpenFreeMap / OpenMapTiles / © OpenStreetMap contributors · ODbL Data snapshot: August 30, 2026 • Terrain: AWS Terrain Tiles / Mapzen · SRTM and other sources • District boundaries: southkorea/seoul-maps · Statistics Korea’s 2013 boundaries These may differ from Seoul’s current administrative boundaries. • 3D rendering: Three.js • Additional components: terrain, road, and building data, subject to their respective licenses
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Hi Friends, for my first project created with GPT-6 Astra, I built the entire city of Seoul in 3D—a small revolution in digital geography! 😄 This interactive 3D miniature covers all of Seoul and its surrounding areas, and you can explore it yourself. It includes: • All 25 districts of Seoul and approximately 267,000 simplified building models • Rotate, zoom, and pan controls, plus an automated fly-through of 14 landmarks • Day, sunset, and night modes • Mobile touch support The buildings were generated from real-world map data, with their shapes simplified for performance. Terrain and building heights are exaggerated by 4× to make the cityscape easier to see. The entire process—from creating the project to completing deployment—took 43 minutes and 38 seconds minutes. Please note that the buildings are simplified models based on locations and footprints recorded in OpenStreetMap. Where height data is unavailable, estimated heights derived from the source data are used. The landmark models are interpretive recreations designed to emphasize their distinctive features, rather than survey-grade or photorealistic reconstructions of every building. The project is based on real road, waterway, elevation, and building data. • Maps and buildings: OpenFreeMap / OpenMapTiles / © OpenStreetMap contributors · ODbL Data snapshot: August 30, 2026 • Terrain: AWS Terrain Tiles / Mapzen · SRTM and other sources • District boundaries: southkorea/seoul-maps · Statistics Korea’s 2013 boundaries These may differ from Seoul’s current administrative boundaries. • 3D rendering: Three.js • Additional components: terrain, road, and building data, subject to their respective licenses

synabreu

331,302 просмотров • 9 дней назад

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience
1:38

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

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85,182 просмотров • 8 месяцев назад