Background
Often when trying to understand a particular phenomenon, like the changes in Air Quality caused by the variations in land traffic, researchers employ one or several data sources to obtain a comprehensive description and to be able to look at the phenomenon from several different angles. These sources may be various Earth observation (EO) systems, providing measurements of the same parameters at different temporal or spatial resolutions and scales, or they may be providing completely distinctive but complementary information.
The EO Dashboard is a great source of EO-based information derived from data coming from a suite of different satellites from the EO programs of the three collaborating space agencies: NASA, ESA, and JAXA. The narratives showcased on the EO Dashboard are examples of how joint exploitation of multi-mission products can enhance our understanding of aspects such as the changes in water chlorophyll concentrations, or variations in the number of planes and ships at airports and harbors, among others.
The joint value of these diverse datasets is much larger than the sum of individual parts. Yet, looking at these datasets jointly is difficult, due to the large variability in terms of content, resolutions, temporal characteristics, etc.
Objectives
Your challenge is to devise a way to visually fuse information from diverse EO datasets of different missions, for studying phenomena such as those represented in EO Dashboard. How can you fuse/merge different EO products or indicators into single meaningful views that can provide more insights than the individual products viewed separately?
Potential Considerations
- Observations may not fully overlap spatially and temporally. Your solution may consider ways to harmonize the spatial and temporal coverages.