We built a platform that performs varying spatial and time scale data acquisition, and curates the data to present it as more accessible to the human eye. In this manner we enable the user to truly grasp the complexity and continuity of environmental and geographical evolutions, on a level that is simultaneously personally relevant and educational.

In order to achieve this, we harness the open source data of space agencies, using the APIs made available, curate it with machine learning algrorithms to recover an image as close to reality as possible, and make it available to the user in a timely, efficient manner. The user can very easily query the data using an commonly known maps application.

In short, we are bridging the gap between user friendly platforms used daily and scientifically compiled data that provides invaluable insight when given the time of analysis.