The Guardian (USA)

One, two, tree: how AI helped find millions of trees in the Sahara

- Amy Fleming

When a team of internatio­nal scientists set out to count every tree in a large swathe of west Africa using AI, satellite images and one of the world’s most powerful supercompu­ters, their expectatio­ns were modest. Previously, the area had registered as having little or no tree cover.

The biggest surprise, says Martin Brandt, assistant professor of geography at the University of Copenhagen, is that the part of the Sahara that the study covered, roughly 10%, “where no one would expect to find many trees”, actually had “quite a few hundred million”.

Trees are crucial to our long-term survival, as they absorb and store the carbon dioxide emissions that cause global heating. But we still do not know how many there are. Much of the Earth is inaccessib­le either because of war, ownership or geography. Now scientists, researcher­s and campaigner­s have a raft of more sophistica­ted resources to monitor the number of trees on the planet.

Satellite imagery has become the biggest tool for counting the world’s trees, but while forested areas are relatively easy to spot from space, the trees that aren’t neatly gathered in thick green clumps are overlooked. Which is why assessment­s so far have been, says Brandt, “extremely far away from the real numbers. They were based on interpolat­ions, estimation­s and projection­s.”

The most recent attempt at a global tally of trees was in 2015, when researcher­s, using a combinatio­n of satellite data and ground measuremen­ts, estimated there were just over 3tn. This was a dramatic increase from the previous estimate of 400bn in 2009, which was based on satellite imagery alone.

The research by Brandt and his colleagues in west Africa promises a more accurate picture in the future. In a collaborat­ion with Nasa’s Goddard Space Flight Center, they were able to use satellite images from DigitalGlo­be, previously available only to commercial entities, which were high enough resolution to make out individual trees and measure their crown size.

Using AI deep learning, and one of the world’s most powerful supercompu­ters – Blue Waters at the University of Illinois – the team was able to count individual trees from space for the first time. They manually marked nearly 90,000 across a variety of terrain, so the computer could “learn” which shapes and shadows indicated the presence of trees. This enabled them to count every tree with a crown size of at least 3 sq metres in a 1.3m sq km area comprising mostly the Sahara but also the semiarid Sahel area along the southern edge of the desert and a sliver of the subhumid zone beneath that. Overall, they detected more than 1.8bn trees.

Those in the Sahara tended to be clustered around human settlement­s. Arid areas had on average 9.9 trees per hectare, rising to 30.1 in semi-arid zones and 47 in the southernmo­st sub-humid rim of the patch being studied. There were just 0.7 trees per hectare in areas classified as “super-arid”.

“Most maps show these areas as basically empty,” says Brandt. “But they’re not empty. Our assessment suggests a way to monitor trees outside of forests globally, and to explore their role in mitigating degradatio­n, climate change and poverty.”

Keeping the planet’s arboreal accounts is key to understand­ing the impact trees are having on our planet’s health. If the number of trees can be mapped, so can the amount of carbon they store.

The most high-profile existing world tree map is released annually by Global Forest Watch. Launched by the World Resources Institute (WRI) in 2014, it uses data from Nasa Landsat satellites (which don’t have as high resolution as commercial equivalent­s) to keep tabs on what it diplomatic­ally calls “tree cover loss”.

Previously, informatio­n on the changing shapes of forests was collated every five years or so by the UN Food and Agricultur­e Organizati­on, which had to take the numbers on trust from individual countries. The WRI’s aim was to make assessing deforestat­ion data transparen­t.

Weekly alerts are generated for reductions in forest size in the tropics. “Cambodia basically said they had no deforestat­ion,” says Fred Stolle, deputy director of WRI’s forest programme, “but there’s been so much. The car industry is getting bigger and bigger and we need tyres. Rubber grows well in the tropics and so Cambodia has an enormous amount of deforestat­ion to plant new rubber trees.”

Alerts have also appeared for Ghana, where destructio­n of primary forests jumped by 60% between 2017 and 2018 – the biggest rise anywhere in the tropics.

However, there is one aspect of the WRI map that Stolle concedes means the picture is incomplete. While the satellites easily show where trees have been cut down, “new tree growth is much more difficult to see. So while Global Forest Watch sees a lot of the deforestat­ion, it doesn’t see much of the reforestat­ion.”

Brandt expects that the higher resolution technology offered by the commercial satellites will become widely available in the coming years, helping to bridge this gap.

Another organisati­on tracking deforestat­ion is environmen­tal nonprofit Canopy, founded in 1999 by its now executive director, Nicole Rycroft. It traces back supply chains for companies because, Rycroft says, “there’s no need to cut down 100-year-old trees to make pizza boxes or T-shirts, or for the trees to come from land inhabited by indigenous communitie­s”.

Using informatio­n from a range of scientific sources, Canopy has packaged the raw data and satellite imagery into an interactiv­e tool called ForestMapp­er, to help companies switch to sustainabl­e supply chains. They can scan the map, which includes informatio­n on forest carbon density, endangered species, tree loss so far and projected deforestat­ion over the coming decade. “We’re the applied science side,” says Rycroft, “making the data userfriend­ly.”

As well as highlighti­ng risky supply chains, Canopy helps manufactur­ers find more sustainabl­e sources, including recycled fibres, “so we don’t just shift the problem from one backyard to somebody else’s”.

“We work with 320-odd fashion brands,” Rycroft continues. “Including guys like H&M, Zara and Uniqlo, right down to luxury designers like Stella McCartney. And as you can imagine, there’s a wide range of motivation­s within those companies, but they’re all committed.”

Seven years ago, she recalls, few in the industry even knew that “200m trees were disappeari­ng into rayon and viscose every year, and some of it from orangutan and grizzly bear habitats, really high carbon forest ecosystems”. Now, she says, “52% of global viscose production is verified by ourselves as being at low risk of originatin­g from high carbon or high biodiversi­ty forests. There’s still 48% of the supply chain to go, but in a relatively short space of time we’ve seen the global supply chain fundamenta­lly starting to transform how they source.”

Hotspots on the map now include south-east Asia, Indonesia, Vietnam, Laos and Brazil. Working with local NGOs and campaigner­s, Canopy drills down into the regional detail. Some eucalyptus plantation­s in Indonesia, for example, are growing on high-carbon peatlands that need restoring. “And we’ve recently discovered that koala habitat in Australia has been logged for fabric production,” says Rycroft.

The same scrutiny applies to other supply chains, such as cardboard. “Which are the forests that provide the 3bn trees that disappear into food wrappings, pizza boxes or the packaging that lands on our doorsteps from e-retailers? Is it coming from a sustainabl­y managed plantation? Is there recycled content? Or is it coming from a high-carbon value forest?”

What is hardest to monitor is the illegal clearing of the vast, as yet unknown numbers of trees that exist outside forests. Brandt’s team is close to submitting another research paper for which they have scanned 10 times the area covered by their initial study. As well as forests, says Brandt, individual trees are “valuable in mitigating climate change, providing a variety of ecosystems and services to people, and until now, it was impossible to map them”.

Find more age of extinction coverage here, and follow biodiversi­ty reporters Phoebe Weston and Patrick Greenfield on Twitter for all the latest news and features

There’s no need to cut down 100-year-old trees to make pizza boxes or T-shirts

Nicole Rycroft, Canopy

 ?? Photograph: Courtesy of Martin Brandt ?? Aerial view of trees in Sahel: ‘Where no one would expect to find many trees, there were quite a few hundred million.’
Photograph: Courtesy of Martin Brandt Aerial view of trees in Sahel: ‘Where no one would expect to find many trees, there were quite a few hundred million.’
 ??  ?? Dryland trees grow in isolation without forming forests (marked in green, top), making them invisible to convention­al satellite systems. Scientists used new sensors and AI to map individual trees within the rectangle over west Africa, showing that millions of trees grow in desert and grassland areas.
Dryland trees grow in isolation without forming forests (marked in green, top), making them invisible to convention­al satellite systems. Scientists used new sensors and AI to map individual trees within the rectangle over west Africa, showing that millions of trees grow in desert and grassland areas.

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