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| Last Updated:: 24/02/2015

Radical transparency, Tracking deforestation through satellite imagery

 Advances in mapping technology helps us keep a closer eye on the world’s forests.

 

Floating softly through the vacuum of space, the Landsat 7 satellite has faithfully provided imaging of the entirety of Earth’s surface, every 16 days, since 1999. Now, a series of technological developments has made this silent spectator a dominant force in tracking forests worldwide.

 

From his personal computer in Redwood City, California, Rhett Butler, founder and director of mongabay.com (a popular environment news website), identified an area of recent deforestation on the island of Sumatra. In less than 72 hours, he was bumping along a freshly cut logging road in a 4x4 Jeep, following his GPS to the coordinates of the identified forest loss. Rounding a hill, Butler came face to face with a massive clearing, oil palm seedlings already planted amidst the ruins of the freshly cut forest.

 

Global Forest Watch (GFW), launched last February, is an online forest monitoring and alert system pioneered by the World Resources Institute (WRI) in partnership with over 40 other organisations, including Google, Esri and the United Nations Environment Programme. This platform allows for innovative transparency in tracking forest loss and re-growth, providing yearly tree cover change data from 2001-2012, available to anyone, at no cost, anywhere in the world.

 

One of the main datasets mapped by GFW comes from the 2013 study High-Resolution Global Maps Of 21st-Century Forest Cover Change published by Matthew Hansen and colleagues in the journal Science. This massive dataset consists of over 600,000 individual images provided by the Landsat 7 satellite, and involved monumental computations made possible by a partnership with the Google Earth Engine team. The current GFW platform allows users to analyse user-defined areas for changes in forest extent using cloud-based servers, allowing for easy access to and customisability of this enormous dataset.

 

Satellite data can provide information on changes in landuse, such as when forests are cleared for plantations. Photo: AZHAR MAHFOF/The Star

Satellite data can provide information on changes in landuse, such as when forests are cleared for plantations. – Azhar Mahfof/The Star

Still, criticisms have been raised, largely focused around how forests were defined. Hansen and his team used an algorithm to distinguish forest cover from other surface types that defines “forest” as vegetation over 5m in height. This definition does not differentiate between old growth forests and monoculture timber plantations, which provide vastly divergent biodiversity levels and ecosystem services. The area mapped as “tree cover” on the GFW platform includes eucalyptus plantations and even oil palm plantations, the expansion of which is driving deforestation in Indonesia. According to some critics, this conflation of forests with plantations has the potential for abuse by local policy-makers, who stand to gain from getting credited with pro-forest policies while expanding lucrative oil palm plantations.

 

The existing confusion in forest definitions may have serious implications for governments and decision makers. “In Indonesia there has been a real political debate on what the real numbers are,” said Dr Fred Stolle of WRI. A recent study in Nature Climate Change published by researchers at the University of Maryland and WRI (two leading partners in GFW) had found increasing levels of deforestation in primary forests, which conflict with the Indonesian Forestry Ministry’s reports of a decreasing trend in forest loss. Three high-level roundtables were convened to debate the matter, with representatives from the Indonesian government, University of Maryland, WRI and others present. The debate remains unresolved.

 

The delicate nature of this forest definition game was made evident in 2000 when the Food and Agriculture Organisation changed its forest definition to a uniform definition across developing and developed nations in anticipation of the global Forest Resource Assessment. This change resulted in an additional 300 million ha, or an increase in global forest levels of about 10%.

 

Instead of aligning itself with any specific forest definition, GFW has decided to provide open access to the data while clearly stating how each dataset is defined. “We aim to provide a platform that can host a wide variety of information on forests, and make all that information transparent and accessible to everybody,” said WRI’s communications officer James Anderson. This flexible approach allows GFW to provide data while leaving its interpretation open to local perceptions. “Maybe the solution is not always a single global definition, because values differ from place to place, and forests are just so different across the world. So the way in which we measure and monitor them needs to be different in different places.”

 

Anderson emphasised how important it is for users to understand just what is shown on the maps. “Reading the fine print is important. Misinterpretation is definitely a danger, but it’s always been a danger, even before GFW,” he said. “GFW has put this data out there in a way that’s never been seen before. I think it’s good and healthy for us to have a dialogue about that.”

 

These are critical times for the world’s forests, highlighted by the recent UN climate summit in New York. The New York Declaration on Forests included a call to cut deforestation in half by 2020, and altogether by 2030, as well as restore an area larger than India by 2030. As the world awakens to the importance of its forests, the need for a clear understanding of those forests becomes more pertinent. “We’ve made a lot of changes in just the past few months,” Anderson said. “We now have access to more high-resolution imagery. Meeting these commitments means forest change needs to be measured clearly.”

 

 

 

Source:

http://www.thestar.com.my/Lifestyle/Features/2015/02/23/Radical-transparency-tracking-deforestation-through-satellite-imagery/