GOVTECH CHALLENGE SERIES
How to create a real time satellite image of Lithuania?
Currently, the Department of Statistics, when preparing agricultural statistical indicators, is using data collected from questionnaires and registries;
Present data collection methods (through questionnaires and registry inquiries) guarantee quality but lack speed, efficiency and granularity:
the indicator is not up to date and its frequency is low;
information is not extensive, since not everyone registers their crop lands;
granularity is low – when studying crops there is no precise locations associated with data points, which decreases the value of statistics.
There is a possibility to use free satellite data to prepare the satellite map of Lithuania, however, quality is deteriorated by clouds.
The Department of Statistics seek to have a full and almost real-time satellite image of Lithuania without obstacles such as clouds, to ensure updated, extensive and granular statistics.
The solution should:
Using satellite data (i.e.Sentinel2), assemble separate images into a full, coherent map of Lithuania;
Automatically recognize clouds and replace the obstructed places with other recent images;
Keep the map up to date with the latest satellite images.
Tools that assemble maps from images and suppress images exist – nonetheless they require manual effort for cloud recognition and the substitution of obstructing elements. Full maps without clouds also exist, but their updating is usually limited to once a year. There is thus a gap in the market for a tool that would solve the challenge presented beforehand;
The product is easily scalable and demanded by foreign institutions collecting statistical data.
You can find more detailed challenge description here (EN & LT):
If you have other questions about the process, participation, deadlines, or anything related to GovTech Challenge Series 2.0, please contact us by email firstname.lastname@example.org.
The Department of Statistics
You can find video of the challenge presentation (in Lithuanian) below: