![]() ![]() We will also learn how to calculate NDVI from multi-spectral imagery. We will focus on Sentinel-2 data for this first exercise, and learn to display imagery as true colour and false colour composites. By the end of this exercise you will be able to search, find and visualize a broad range of remotely sensed datasets. The objective of this lab is to give you an introduction to the Google Earth Engine processing environment. ![]() If you would like more detail you can read through the introduction provided here: We will cover the very basics of this language during this course. Google Earth Engine uses the JavaScript programming language. If you have not yet signed up - please do so now: Environmental Monitoring and Modelling Lab 1 - Introduction to Google Earth EngineĬompletion of this lab exercise requires use of the Google Chrome browser and a Google Earth Engine account. Searching for and importing cloud-free Sentinel-2 imageryĭefining true-colour visualisation parametersĭefining false-colour visualisation parameters Lab 1 - Introduction to Google Earth Engine GEARS - Geospatial Ecology and Remote SensingĮnvironmental Monitoring and Modelling (EMM)
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