The Sentinel data are, among others, excellent for monitoring temporal change. Here, we look at an output from creating false colour vegetation RGB (Red, Green, Blue) composites of an area (covering Gardermoen airport outside Oslo) in Python for looking at the temporal change in vegetation. The Python script is available on the following github gist and can be run directly since it reads the data using OPeNDAP here.
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Sentinel-3 L1 OLCI covering parts of the Norwegian coast 28.07.2018
We are now synchronizing lots of Sentinel-3 ESA products e.g. Level-1/Level-2 OLCI, SLSTR and altimetry. In addition, we also now get Sentinel-3 Level-2 Marine/Ocean products processed by EUMETSAT. Have a look at colhub.met.no for you favored products!
The Sentinel data are, among others, excellent for monitoring temporal change. Here, we look at an output from creating false colour vegetation RGB (Red, Green, Blue) composites of an area (covering Gardermoen airport outside Oslo) in Python for looking at the temporal change in vegetation. The Python script is available on the following github gist and can be run directly since it reads the data using OPeNDAP 
