Interactive interface for browsing full-resolution, global satellite imagery.
This app from NASA's EOSDIS provides the capability to interactively browse over 900 global, full-resolution satellite imagery layers on desktop and mobile devices. Many of the imagery layers are updated daily and are within three hours of observation - showing the entire Earth as it is "right now". This supports time-critical applications such as wildfire management, air quality measurements, and flood monitoring. Some satellite imagery layers span almost 30 years, providing a long term view of our dynamic planet. The underlying data is available for download, and Arctic and Antarctic views of several imagery layers are available for a “full globe” perspective.
Worldview uses OpenLayers to display imagery from the Global Imagery Browse Services (GIBS). This imagery can also be used with libraries such as Leaflet, Cesium, Google Maps or custom GDAL scripts. We encourage interested developers to fork Worldview or build their own clients using GIBS services.
Check out our roadmap to see what we're working on and follow our blog to find out the latest features and imagery available.
This project uses Node and Python. See the dependencies section for more information.
git clone https://github.com/nasa-gibs/worldview.git
cd worldview
npm ciView the Configuration section for information on how to install the official EOSDIS Worldview configuration, or to add your own custom configuration.
The following are required to install and run Worldview:
-
- Note: Ubuntu users may run into issues with the
nodecommand not being available. See this question on StackOverflow for possible solutions.
- Note: Ubuntu users may run into issues with the
-
- Note: It is recommended that Windows users install Python with Windows Build Tools.
- macOS users should use homebrew to install Python v3
brew install python
Windows users will also need the following:
npm run build
npm startNavigate to http://localhost:3000 in a browser. To stop Worldview, press Control+C in the terminal.
See Developing for more usage details.
There are two features as part of Coverage Scientific use cases.
First feature is to select an area of interest using Draw Rectangle button on the top right corner as shown below and be able to compute the statistics like mean, median, standard deviation, maximum and minimum values for the underlying imagery data.
Second feautre is to automatically compute statistics for the four Nino Zones. The button next to draw rectangle in the top right corner is used to list the four nino zones. On selecting any Nino Zone the corresponding area is highlighted on the map and the statistics are automatically computed and displayed on the map.
To update Worldview, pull down any branch or tag from GitHub. From the main branch (default), to update to the latest stable version of Worldview, run git pull.
Note: This project uses Semantic Versioning. Updates to the major version number in package.json indicate a breaking change; update with caution.
- Configuration
- Custom Branding
- Optional Features
- Developing
- Deployment
- Testing
- URL Parameters
- Uploading
- Docker
- Smart Handoffs
- Release Notes
- Changelog
Contact us via GitHub or by sending an email to support@earthdata.nasa.gov.
We welcome your contributions! Feel free to open an issue or submit a PR.
Please review CONTRIBUTING.md for contribution guidelines before getting started.
Worldview and NASA follow the Contributor Covenant Code of Conduct.
NASA-1.3 (See LICENSE.md)