You can add descriptions to your pins as well, and share them via link, or via a JSON file by exporting it. Pins and Image ComparisonĮO Browser makes it possible for you to save your preffered locations and visualizations as pins, and allows you to share them with others. To make your own visualizations, visit our custom scripts documentation to get started. Read more about data fusion in our Medium blog post.Īdditionally, you can modify your image by editing the strength of the three color channels, contrast (gain) and luminance (gamma) in the effects pannel. In this example, you can see Sevastopol area, with cloudy pixels returned in Sentinel-1, which penetrates clouds, and the rest in Sentinel-2 true color. You could for example calculate the snow index and display only the pixels you calculated to be snow as blue, and return all the remaining pixels in natural color.ĭata fusion makes it possible to combine satellite data collections in a single image, take advantage of each, and bring your scripting to a new level. Using Javascript, you have full control over your visualization, allowing you to make computations, logical operators and conditions, data fusion, multitemporal scripting, etc. Our custom script functionality is a powerful tool for visualizing satellite data. The index tool makes it possible to quickly create remote sensing indices and control the visualization, by drag and dropping bands into the equation. On the image below,ĭanakil Depression has been visualized using SWIR, RED and BLUE bands of Sentinel-2. There are already several visualizations with legends and descriptions prepared for you, such as true color, false color, NDVI, EVI, etc.īy choosing Custom it is possible to choose any combination of bands and make a composite by simply drag and dropping the bands into the RGB channels. Satelite imagery in EO Browser can be visualized based on user's desired configuration. This EO content is perfect for students and teachers or anyone interested to explore satellite data. To make it even more exciting, we have prepared a special education mode of EO Browser, where you can explore 12 unique themes, with the selected locations of interest and chosen visualizations. Browsing satellite data has never been so easy! The process in the background takes care of the selection of appropriate scenes, download and processing of data, as well as mosaic creation. Webinar Showcase Video User Guide Tutorials Explore EO DataĮO Browser allows you to visualize satellite data from numerous satellites and data collections instantly. Some of the most exciting new EO Browser features are collected in our Medium blog posts from March 2020, July 2020, August 2021, February 2022 and August 2022. We keep EO Browser, our showcase of Sentinel Hub functionality free to use, to make these features available to just about anyone. Sentinel Hub services are providing long-term analysis in an efficient way. Try out different visualizations or make your own, download high resolution images and create timelapses. You simply go to your area of interest, select your desired time range and cloud coverage, and inspect the resulting data in the browser. Not that into JavaScript? Take a look at the Altair Python API for Vega-Lite.EO Browser makes it possible to browse and compare full resolution images from all the data collections we provide. To rapidly create common statistical graphics, check out Vega-Lite, a higher-level language built on top of Vega. To get started with Vega, take a look at the tutorials, example gallery, and usage guide, or read about the project’s goals. Vega provides a convenient representation for computational generation of visualizations, and can serve as a foundation for new APIs and visual analysis tools. Specifications are parsed by Vega’s JavaScript runtime to generate both static images or interactive web-based views. Interaction techniques can be specified using reactive signals that dynamically modify a visualization in response to input event streams.Ī Vega specification defines an interactive visualization in a JSON format. Vega provides basic building blocks for a wide variety of visualization designs: data loading and transformation, scales, map projections, axes, legends, and graphical marks such as rectangles, lines, plotting symbols, etc. With Vega, you can describe the visual appearance and interactive behavior of a visualization in a JSON format, and generate web-based views using Canvas or SVG. Vega is a visualization grammar, a declarative language for creating, saving, and sharing interactive visualization designs.
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