Modern Earth observation stitches together many different satellite data layers over the same grid — temperature, vegetation, night lights — to build a complete picture of a changing planet.
layer(x,y,t) = base(x,y) + variability * noise(t)
- Grid resolution — spatial cells the Earth-observation canvas renders.
- Layer opacity — how strongly the active data layer's colour overlays the base terrain.
- Data variability — how much the underlying dataset fluctuates cell to cell (cloud cover, seasonal change).
- Update rate — how frequently the canvas refreshes with new simulated observation data.
Platforms like Google Earth Engine let researchers flip between exactly these kinds of satellite data layers to study everything from deforestation to urban heat.