A quick assesment of how the data is changing over time can be achieved using a the Add Mulit-Temporal Mapy Layer block.  This allows you to create an RGB composite with a different date for each colour channel.

Instructions to create a multi-temporal RGB composite

Create a step-by-step guide

Step 1: Choose your data and include the recommended blocks

• For example, load sentinel 1 data for the last year over an area of agricultural fields.
• Aggregate the images into time periods over which you want to look for change. For example, if looking at agricultural crops, you might look at the montly mean.

Step 2: Replace the Add Map Layer block with the multi-temporal block

• Replace the Add Map Layer block with the multi-temporal block. 
• If you have aggregated by month, then you will have a choice of months in the drop-down list for the RGB bands. This list will change depending upon which time period you aggregate over. 
• Adjust the visualisation options to something appropriate, such as the 98th percentile. 
• Your workflow will now look something like this:

Step 3: Run the workflow

• Each colour channel will represent a different time period. 
• Areas that have changed will be clearly identifiable by their colourful hues.  
• Areas that have not changed (in this example, buildings or forests) will be shades of white to grey (ie, no hue). 

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