Google Earth Engine 101

The mission of the Stanford Geospatial Center is to support the use of geospatial data and technologies in research teaching at Stanford University, whatever that means at any given moment. Our goal is to provide expert instruction, consulting and data services to the Stanford University research community. As a part of the Stanfod University Library system, The Stanford Geospatial Center serves the entirety of the Stanford University community, without regard to departmental affiliation or status, and our services are open to any Stanford University affiliate with current library circulation privileges.

The Stanford Geospatial Center

An Introduction to Earth Observation, for absolute beginners

<h1>Google Earth Engine 101: Introduction to Earth Engine for beginners</h1><h2>Meet Earth Engine</h2><p>Google Earth Engine is a geospatial processing service. With Earth Engine, you can perform geospatial processing at scale, powered by Google Cloud Platform. The purpose of Earth Engine is to:</p><ul><li>Provide an interactive platform for geospatial algorithm development at scale</li><li>Enable high-impact, data-driven science</li><li>Make substantive progress on global challenges that involve large geospatial datasets</li></ul><p>Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth&#x27;s surface.</p><p><strong>Presenter: </strong>Stace Maples</p><p>Please note that this workshop is for Stanford University affiliates, only. </p><p><strong>Description</strong>: The Earth Engine API (application programming interface) provides the ability to create your own algorithms to process raster and vector imagery. This session is geared toward people who would like to analyze satellite and vector data. The session will be hands-on, using the Earth Engine Javascript code editor. </p><p>The first part of the class will be an overview of the Google Earth Engine Platform, and Remote Sensing, in general.  The second half will focus on accessing imagery, creating composites, and running analyses over stacks of images, computing statistics on imagery, creating charts and exporting the results of your analyses.</p><p><strong>Prerequisites: </strong>No previous experience with Earth Engine or JavaScript is necessary for the beginner workshop, but programming experience, basic knowledge of remote sensing and/or GIS are highly desirable. Willingness to learn programming is required. Participants with no programming experience will require additional attention. </p><h2>Sign up for Google Earth Engine Immediately!</h2><p>If you are not registering with a @Stanford.edu email address, we are unable to provide access to Google Earth Engine, through our organization. Please be certain that you apply for access well ahead of the workshop:</p><p>To sign up for Google Earth Engine, go to: <a href="https://signup.earthengine.google.com" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://signup.earthengine.google.com</a></p><h2>The Slides</h2><p>The slides below are the same as those covered in the webinar video. You can open these slides in a separate widow in order to follow along and have access to the linked URLs.</p><p><a href="https://slides.com/staceymaples/gee101/embed" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://slides.com/staceymaples/gee101/embed</a></p><h2>The Sample Scripts</h2><p>Once you have signed up for and received confirmation of your Google Earth Engine account, you can copy the script repository for this webinar by clicking on the following link, which will redirect you to the Google Earth Engine Code Editor and import a series of scripts designed to introduce you to the basic mechanics of working in Google Earth Engine.</p><p><a href="https://goo.gl/9f9NgB" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://goo.gl/9f9NgB</a></p>

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Google Earth Engine 101

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Google Earth Engine 101

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