Google Earth Engine for Agrohydrological Applications

Section outline

• Select section Introduction

  Introduction

  Go to section Introduction

  This course will introduce you to Google Earth Engine (GEE). Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface. In Module 1 you'll get an overview of GEE Code Editor interface and you'll learn the basics of JavaScript, the programming language that is used in the GEE Code Editor. In Module 2 you're going to work with some scripts to give you an idea of the power of GEE. Module 3 introduces the Filter, Map and Reduce concepts. In Module 4 you'll learn how to derive spectral indices from remote sensing data. Module 5 covers supervised image classification. The course ends with building and publishing an app for end users in Module 6.
  
  

  Acknowledgements

  A video by Dr. Qiusheng Wu was used with his permission. Portions of this course are modifications based on work created and shared by Google and used according to terms described in the Creative Commons 4.0 Attribution License. This course also re-used open access materials (introdction text and code of exercises in modules 3, 4 and 5) from the End-to-End Google Earth Engine course, copyright © 2021 Ujaval Gandhi www.spatialthoughts.com, licensed under a Creative Commons Attribution 4.0 International License.
  
• Select section Introduction

  Introduction

  Go to section Introduction

  Activities: 2
• Select section Module 1: Getting Started with Google Earth Engine

  Module 1: Getting Started with Google Earth Engine

  Go to section Module 1: Getting Started with Google Earth Engine

  Activities: 3
• Select section Module 2: Your First Scripts

  Module 2: Your First Scripts

  Go to section Module 2: Your First Scripts

  Activities: 5
• Select section Module 3: Filter, Map, Reduce

  Module 3: Filter, Map, Reduce

  Go to section Module 3: Filter, Map, Reduce

  Activities: 7
• Select section Module 4: Indices in more detail

  Module 4: Indices in more detail

  Go to section Module 4: Indices in more detail

  Activities: 2
• Select section Module 5: Supervised Classification

  Module 5: Supervised Classification

  Go to section Module 5: Supervised Classification

  Activities: 4
• Select section Module 6: Building and Publishing an App

  Module 6: Building and Publishing an App

  Go to section Module 6: Building and Publishing an App

  Activities: 4
• Select section Other resources

  Other resources

  Go to section Other resources

  Activities: 3