DUNIA Streaming is a gateway to effortless access of geospatial and temporal data streams. Whether you're on your desktop or mobile device, our solution ensures unlimited low-bandwidth data dissemination wherever you are. Dunia-Streamer allows you to scan satellite mission-archives with a fingertip in a browser.
With the EarthStreamer technology, users can seamlessly play georeferenced streams, akin to watching movies, on a base map. Additionally, users can efficiently download compressed EO data through low bandwidth networks.
¶ Features
✅ Simple to Use: User-friendly and intuitive access to earth observation data streams.
✅ Fast Streaming: Efficiently browse through a vast amount of EO data for a quick overview.
✅ Various Satellite Missions: Support for Sentinel-1 and Sentinel-2 imagery.
✅ Download Features: Effortlessly download, convert and reproject individual scenes or entire time series directly in your browser.
✅ Bandwidth Reduction: Minimized network traffic through the utilization of optimized compression technologies.
¶ Data Compression
✅ EO Optimized Compression: Cutting-edge compression services.
✅ High Data Quality: Quality difference in the range lower then 1 %.
✅ Choosable Compression Ratio: From fast archive previews to nearly full quality.
✅ Storage and Bandwidth Reduction: Reducing network load by more than 90 %.
¶ Tutorial Manual
Open our DUNIA streaming manual here, to learn more about our streaming solution and the workflow of using the DuniaStreamer.
¶ Tutorial Video
Find a video tutorial here.
¶ Toolbox
The Streaming Toolbox allows Python users to access DUNIA's streaming solution, providing resampling, reprojection, and real-time satellite mission data cubes.
The main purpose of the content of this repository is to ease all access channels to the streams and to convert them to OGC compliant data formats or in Memory Xarrays for further processing.
The toolchain for accessing the streamlined data access is build up by following components:
- a RESTful API which provides for a given TileID (which you find in the DuniaStreaming Application) and time-range the locations of the individual stream-objects for accessing and a comprehensive set of meta-data,
- a Web-Application which will act as “Fast Scanner” of the mission archive (DuniaStreamer) and the functionality to play full and reduced resolution streams depending on the client device (Mobile/Tablet or Laptop/Desktop), ideally suited for direct interpretation of imagery,
- a Web-Application which converts and stores selected parts (single scenes or complete time-ranges) of the streams into georeferenced GeoTIFFs on client side with the capability to reproject the data to a given coordinate reference system (CRS) on the fly located in the Dunia platform in the Mobile Application section.
- an open and free python module/script collections (the Dunia Streamer toolbox) to access, extract and convert the streams into a OGC standard Raster formats (i.e., GeoTIFF) including geo-transformations (e.g., reprojection, resampling) for direct processing in production chains, ideally suited to serve timeseries analysis of satellite data.
These four components will satisfy the demands of all existing users of the Sentinel missions’ data and increase the attractiveness of the Dunia Data Access Service through a much more accessible and flexible way of accessibility and interaction, thereby attract new users to the data.
In this repository you find a Jupyter Notebook showing step-by-step the access and a comprehensive Python script for converting the data within the streams in GeoTiffs or directly to in memory Xarrays.
The Script calling parameters are:
Required parameters:
- -t (or --tile): Name of the sentinel 2 tile, i.e. 32SNG
- -r (or --resolution): Resolution of the stream. Accepted values: 2k or 60, 4k or 20, full or 10
- -y (or --year): Year of the observation Accepted values: 2019, 2020, 2021, 2022, 2023, 2024
Optional arguments:
- -s (or --start): Start date for the extracted geotiffs. Format MM-DD (i.e. 3-15 for March 15th) or just MM for the first day of that month (i.e. 3 for March 1st).
Default value: 1-1 - -e (or --end): End date for the extracted geotiffs. Format MM_DD (i.e. 3-15 for March 15th) or just MM for the last day of that month (i.e. 3 for March 31st).
Default value: 12-31 - -p (or --path): Path to store extracted geotiffs to.
Default: ./geotiffs/
Help:
- -h (or --help): Displays the calling parameters with an explanation at the command line with an example call of the script.
An example call for Tile ID 32SNG and timerange 05-28-2020 to 06-17-2020 to extract GeoTiffs to "./geotiffs/" in 2k resolution is
py main.py -t 32SNG -r 2k -y 2020 -s 5-28 -e 6-17
¶ Streaming API
The Dunia Streaming API offers complete mission archive access. Connect to stream to optimize your application's performance.