Learn how to create an RGB from mulit-temporal Sentinel-1 Data.
Adapted from the 2015 European Space Agency’s Advanced Training course on Land Remote Sensing.
Creating an RGB composite allows the user to more easily distinguish different land uses. In this recipe, the resultant image shows blue for strong changes, green for fields and forests, reds and oranges for unchanging features. Correspondingly, blue is the difference in sigma0, green is the average sigma0, and red is coherence.
Resulting image and components using the S1TBX to process paired images into RGB composite.