Written in Javascript, this Google Earth Engine app allows you to explore the visual differences in multispectral sensor wavelengths and what land cover features are highlighted (or not) with each. Simply search a location anywhere in the world and it will load a composite image from September, 2019.  

The global Level-2A orthorectified atmospherically corrected surface reflectance dataset is provided courtesy of European Union/ESA/Copernicus.  

SENTINEL-2 

A two satellite constellation consisting of Sentinel-2A (2015) and Sentinel-2B (2017), the SENTINEL-2 mission provides systematic global high resolution (10m/20m/60m) optical imagery  from 84°N-56°S. 

The two identical satellites orbit the Earth 14.3 times a day, with a 10 day same viewing angle revisit cycle. Because they maintain a 785km Sun synchronous orbit 180° apart from each other, this reduces the 10 day revisit cycle to 5 days.

The satellites operate a 13 spectral channel (band) instrument in the SWIR (short wave infrared) and VNIR (visible-near infrared) spectral ranges. This multispectral instrument (MSI) has a 290km swath, allowing some regions to be observed multiple times between revisit cycles from different viewing angles. The observation cycle and MSI specifications allow the SENTINEL-2 data to be integrated with SPOT (France) and LANDSAT (US) data.

These features make the SENTINEL-2 satellites extremely useful for monitoring land and water cover. From landscape change to spatial planning to global crop monitoring, the Sentinel program provides comprehensive sensor and ground geometry data items at a local and international scale.

______________________