Introduction to Forest Change Analysis in Earth Engine
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Figure 1. Forest change estimated by Hansen et al. (2013). Global Change,
2000 - 2012 (left); Change in Riau, Indonesia, 2000 - 2012 (center); Change in Paraguay,
2000 - 2012 (right)
Welcome to the Google Earth Engine tutorial for using
Hansen et al. (2013) global
forest cover and change data and Forest Monitoring for Action (FORMA,
Hammer
et al. 2009) data from Global Forest
Watch. This tutorial provides examples of how to use Earth Engine to visualize these
data, how to compute forest change over time and other statistics within a region of
interest and how to download both the data and results of analyses.
License and Attribution
The data described in this tutorial are licensed under a Creative
Commons Attribution 4.0 International License. Please use the recommended citation on
the relevant dataset description
page.
Prerequisites
The tutorial assumes no programming background, although it does assume a willingness to
learn some programming. Before proceeding, please make sure to:
Signup for Earth Engine. Once
you have been accepted, you will receive an email with additional information.
Get familiar with the Earth
Engine Code Editor, the IDE for writing Earth Engine JavaScript code in a web
browser. Learn more about the Code Editor here.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-05-26 UTC."],[[["This tutorial demonstrates how to use Google Earth Engine to analyze forest cover and change data from Hansen et al.(2013) and Forest Monitoring for Action (FORMA)."],["Users will learn to visualize forest data, calculate forest change statistics, and download data and analysis results within a specific region."],["Before starting, users need an Earth Engine account, familiarity with the Code Editor, basic JavaScript knowledge, and a basic understanding of the Earth Engine API."],["The data used in this tutorial is licensed under a Creative Commons Attribution 4.0 International License, and appropriate citation is encouraged."],["Users can proceed to the next part of the tutorial after fulfilling the prerequisites and familiarizing themselves with the platform."]]],[]]
