Short URL: goto.stanford.edu/gee101
This Repo: https://github.com/StanfordGeospatialCenter/Google-Earth-Engine_101
This ReadMe as a WebPage: https://stanfordgeospatialcenter.github.io/Google-Earth-Engine_101/
An Introduction to Google Earth Engine for Complete Beginners.
You can find a self-paced version of this workshop, and others, on our ArcGIS Online landing page.
Google Earth Engine (GEE) is a cloud-based geospatial analysis platform that empowers researchers to process and analyze satellite imagery and geospatial datasets at scale. As a Stanford researcher, GEE enables you to conduct data-driven science, develop geospatial algorithms, and address global challenges using planetary-scale data resources.
Earth Engine provides:
- An interactive environment for developing and running geospatial analyses
- Access to a multi-petabyte catalog of satellite imagery and scientific datasets
- Tools for detecting changes, mapping trends, and quantifying differences on the Earth's surface
The Earth Engine API allows you to create custom workflows for processing raster and vector data. This onboarding session is designed for Stanford researchers interested in leveraging GEE for remote sensing and geospatial analysis, even without extensive local computing resources.
Session Overview:
- Introduction to the Earth Engine platform and its capabilities
- Overview of remote sensing concepts
- Hands-on exercises using the Earth Engine JavaScript Code Editor
- Guidance on accessing imagery, creating composites, running analyses, and exporting results
Prerequisites: No prior experience with Earth Engine or JavaScript is required. Familiarity with programming, remote sensing, or GIS concepts is helpful but not mandatory.
Getting Started: This workshop is tailored for Stanford University affiliates, most of whom should already have access to Google Earth Engine. If you are unable to access the Google Earth Engine Code Editor, please email stanford-geospatial@stanford.edu to request access.
For the best experience, use a modern Chromium-based browser.
If you are not a Stanford affiliate, you can request access to Google Earth Engine at: https://signup.earthengine.google.com
The workshop content is organized into numbered markdown pages. The recommended reading order (fundamentals → sensors → methods → domain applications → advanced/specialized) is below. Each item lists the filename in the repository.
- 00 —
00-meet_earth_engine.md - 01 —
01-earth_engine_data_catalog.md - 02 —
02-code_editor.md - 03 —
03-features_geometries.md - 04 —
04-images.md - 05 —
05-mapping_functions.md - 06 —
06-reducers.md - 07 —
07-band_math.md - 08 —
08-scale.md - 09 —
09-tasks.md - 10 —
10-landsat.md - 11 —
11-sentinel2.md - 12 —
12-sentinel1.md - 13 —
13-dynamic_world.md - 14 —
14-alphaearth_embeddings.md - 15 —
15-terrain.md - 16 —
16-forests.md - 17 —
17-water.md - 18 —
18-agriculture.md - 19 —
19-fire.md - 20 —
20-weather.md - 21 —
21-climate.md - 22 —
22-polar.md
Use this list when following the workshop or updating cross-file links. If you prefer a different ordering or want me to add a table-of-contents with short descriptions for each page, tell me and I will update this file.
You can access the slides for the workshop at: https://slides.com/staceymaples/rswithgee/
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:
https://code.earthengine.google.com/?accept_repo=users/stacemaples/SGC-EE101
This one doesn't really have a tutorial text, since it's really about looking at the code, and what it is doing. The code in the Sample Scripts above is well-commented, and should make for a pretty straightforward walk-through. For those that like to read, the following is the original instructors notes document I used as a jumping off point for this workshop. Much of it will be redundant, if you watch the video, but a few things, like the difference between running things locally, or on the server, I just gloss over, and are better covered, here:
Earth Engine 101 Instructor Guide
As noted, this webinar is a modified version of the Google Earth Outreach Team's own beginning workshop. You can find more materials to help you learn to use Google Earth Engine at: https://developers.google.com/earth-engine
Here are some highlights:
- The Google Earth Engine Data Catalog - https://developers.google.com/earth-engine/datasets - Earth Engine's 100+ Petabyte public data archive includes more than forty years of historical imagery and scientific datasets, updated and expanded daily.
- JavaScript, REST and Python Guides - https://developers.google.com/earth-engine/guides - Google Earth Engine includes Python, JavaScript and REST APIs. The Quickstart for the REST API can be found, here: https://developers.google.com/earth-engine/reference/Quickstart
- The Google Earth Engine Developers Group represents nearly a decade of support and open development on the Google Earth Engine platform. If you can't find the answer you are looking for in the archive, the members of this forum are friendly, prompt and helpful with GEE questions: https://groups.google.com/g/google-earth-engine-developers
Original Google Earth Engine Beginners Training Materials
The Fourth Paradigm: Data-Intensive Scientific Discovery. Tony Hey, Stewart Tansley, Kristin Tolle.
Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications - This book is the product of more than a year of effort from more than 100 individuals, working in concert to provide this free resource for learning how to use this exciting technology for the public good.
The book includes work from undergraduates, master’s students, PhD students, postdocs, assistant professors, associate professors, and independent consultants.