Google Powers Forest Protection Effort - InformationWeek

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Google Powers Forest Protection Effort

Using Google's map technology and cloud platform, Global Forest Watch can track tree use, abuse, and regrowth.

Combining satellite technology, public data, and crowdsourcing, the World Resources Institute, Google and more than 40 partner organizations have launched Global Forest Watch, an online community-oriented map designed to track changes in forests around the world in near real-time.

Global Forest Watch provides data layers that describe forest change, forest cover (tree density), forest use, conservation data, and reports about forest-related issues from users. It provides insight into the health of the world's forests, which remain vital economic, social, and environmental assets for every nation.

The website exists because forest health has been declining. More than 500 million acres of forest were lost between 2000 and 2012, according to data from the University of Maryland and Google, and only 197 million acres of forest have been regrown, replanted, or revived during this period. This is not a sustainable trend.

"That's the equivalent of losing 50 soccer fields' worth of forests every minute of every day for the past 13 years!" said Crystal Davis, director of Global Forest Watch at the World Resources Institute, and Dave Thau, developer advocate for Google Earth Engine, said in a blog post.

The news isn't all bad, however. Davis and Thau point point out that while Brazil, with its vast Amazon rainforest, has long been one of the top countries for deforestation, the rate of deforestation there declined by an average of 1,318 square kilometers per year in the past ten years. Though the rate rose last year, Brazil's example demonstrates that continued forest loss is not inevitable.

At the same time, the need to manage deforestation is evident in the increasing rates of tree loss in countries like Angola, Indonesia, Malaysia, Paraguay, Peru, and Tanzania.

Global Forest Watch relies on over 650,000 Landsat 7 satellite images processed by Google Earth Engine, the company's cloud-based platform for geo-data analysis. Some 20 terapixels of image data were processed, requiring one million CPU-core hours on 10,000 computers operating in parallel for several days to cover the study's 13-year time frame. Google researchers estimate that the calculations would have taken a single computer 15 years to complete.

The system builds on Forest Monitoring for Action (FORMA), a satellite-based forest assessment system introduced in 2009 by the Center for Global Development.

Global Forest Watch hopes to augment its satellite data with social data that establishes "ground-truth" – personal accounts, photos, and videos that document forest restoration or abuse.

Google has a long history of using its mapping technology for public health and crisis response. Not all of its efforts have been unqualified successes. Despite its high public profile and good intentions, Google Flu Trends has been criticized for inaccuracies arising from an inadequate data model. Global Forest Watch should avoid that trap because it depends primarily on satellite images, which unlike search queries do not depend heavily on interpretation.

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Thomas Claburn has been writing about business and technology since 1996, for publications such as New Architect, PC Computing, InformationWeek, Salon, Wired, and Ziff Davis Smart Business. Before that, he worked in film and television, having earned a not particularly useful ... View Full Bio

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User Rank: Apprentice
2/24/2014 | 4:01:34 AM
Great idea, but what's the deal with the sudden change in deforrestation if you move the begining timeline slider from year 2000 over to 2001?  Based on the map if you look at the last 12yrs of data vs. the last 13, it seems to indicate MUCH larger rates of tree growth compared to's as if they compiled all deforrestation data from some time prior to 2000 and took the total loss and rolled it into one year.  Can someone else verify this?
User Rank: Apprentice
2/23/2014 | 12:20:04 AM
Excellent. I hope they implement more similar systems.
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