Selecting the best Coral Sea Sentinel 2 imagery (Coral Sea Mapping project)
Channel: eAtlas AIMS
Date: 2021-12-02

In this video we discuss the process for selecting the best Sentinel 2 imagery for processing into cloud free composite images of reefs. This video details setting up scripts in Google Earth Engine for processing Sentinel 2 imagery in your own account. This uses the code available from the draft Coral Sea Sentinel 2 image repository (https://github.com/eatlas/CS_AIMS_Sentinel-2-marine_V0). 

This video is a recording of a team meeting of the Coral Sea Mapping project (https://eatlas.org.au/projects-other/coral-sea-reef-mapping) run by the Australian Institute of Marine Science. This project aims to digitise and map the marine features of the Coral Sea including reef boundaries, atoll boundaries, cays, vegetation and beach rock. 
Video recorded: 02 Dec 2021

0:00 Setting up Google Earth Engine from GitHub scripts
2:31 Sunglint removal and its limitations
5:26 Dealing with partial Sentinel 2 swaths
6:15 Classifying images based on cloud cover and sun glint
9:47 Various limitations of image styles (DeepFalse)
11:40 How many images are needed to make good image composites
18:10 Setting up scripts in Google Earth Engine from the GitHub repository
24:05 Using 03-create-composite-Coral-Sea.js
26:40 Choosing the best images to go into the composites
29:05 Displaying composite images
34:00 Adding extra render styles
37:05 Exporting the composite image to Google Drive
41:20 Deliverables for the final composite 
42:00 Questions - Running the code in our own GEE account