But what the operational fleet of European satellites allows us to do goes much further! We are analysing all aspects of changes on our planet – no matter whether natural or manmade – and their impact on the climate.” Maurice Borgeaud, Head of the Science, Applications & Climate Department at ESA Earth Observation Programmes, commented, “The use of Copernicus Sentinel data makes it possible for millions of people to explore changes on Earth. The Copernicus Sentinel-2 high-resolution imaging mission was integral in the development of Google Earth's new Timelapse feature and the unique global view we are now bringing to people everywhere." If you are running on a local machine, you need to first install the earthengine-api in your local machine.Rebecca Moore, Director of Google Earth, said, "This update was made possible thanks to open data provided by the European Union’s Copernicus programme, and its Sentinel satellites, as well as NASA and the US Geological Survey’s Landsat programme. So if you are using the Google Colab platform for running python, you can safely skip this step. Note: Google earthengine-api is already installed inside the Colab environment. So you might face little difficulties having your first walk through the API. The API is created to have similarities with the JavaScript API and is not very pythonic. It is nice of Google to provide an API to communicate with Earth-Engine easily through very less amount of code. Earth Engine hosts satellite imagery and stores it in a public data archive that includes historical earth images going back more than forty years. It is a platform for scientific analysis and visualization of geospatial datasets, for academic, non-profit, business, and government users. Google Earth Engine is one of the best sources for satellite imagery and computation. Satellite Imagery using Google Earth Engine in Python It is meant for people who at least have a beginner-level knowledge of python. This tutorial is a very skim introduction to the world of geo-spatial analysis. In this article, we will be learning how to work with Satellite Imagery and visualize them using Python.
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