Introduction to Global Forest Watch

Welcome to the Google Earth Engine tutorial for Global Forest Watch. This tutorial provides examples of how to use Earth Engine's programming interface (API) to visualize the data presented in Global Forest Watch, how to compute forest change over time and other statistics within a region of interest, and how to compare forest loss datasets.

Global Forest Watch
http://www.globalforestwatch.org/map

About Google Earth Engine

Earth Engine is a platform for planetary-scale environmental data analysis. Learn more from the Introduction section. Google Earth Engine is used to create and analyze several of the datasets in Global Forest Watch. These include the University of Maryland's annual tree cover loss, tree cover gain, and tree cover extent data, the Landsat base maps and Imazon's SAD data. In addition, the tropical forest carbon stocks layer is being stored, served and styled by Earth Engine.

About Global Forest Watch

Global Forest Watch is a dynamic online forest monitoring and alert system that empowers people everywhere to better manage forests. GFW is free and follows an open data approach in putting decision-relevant information in the hands of governments, companies, NGOs and the public.

GFW is supported by a diverse partnership of organizations that contribute data, technical capabilities, funding, and expertise. The partnership is convened by the World Resources Institute.

Audience and Prerequisites

This tutorial is an introduction to using Earth Engine for advanced analysis. The tutorial assumes no programming background, although it does assume a willingness to learn some programming. If you are new to Earth Engine, please look at the Hansen/UMD/Google Global Forest Change tutorial first. The Hansen et al. (2013) global forest change dataset is included in Global Forest Watch, and this tutorial will assume that you've gone through the that tutorial.

The Earth Engine programming interface (also called the Earth Engine API) supports two programming languages: JavaScript and Python. This tutorial will focus on the JavaScript version, starting with basic visualizations, and ending with complex operations.

The next section is a brief review of the Hansen/UMD/Google Global Forest Change data.

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