Autumn. Some may say the most beautiful time of the year with respect to the changing nature sceneries. Others might say the most awful time of the year due to the unpredictable rainy weather. Although I come home soaked everyday from my 20-minute bike ride, I still manage to get a smile on my face by simply looking around – the sun trying to find its way peeking through the dark rainy clouds, the bright colors that light up boring streets and pavements covered with various shaped leaves.
As Franklin D. Roosevelt once said: “Forests are the lungs of our land, purifying the air and giving fresh strength to our people”. Did you know that approximately 31% of Earth’s land surface is covered by forests? But did you also know that this number is decreasing at an alarming rate? An equivalent to 27 soccer fields of forestation is lost per minute, and this is a starting number… (WWF, 2019). Since the beginning of this year 41,858 fires have been recorded in the Brazilian Amazon, burning down not only the trees but also wildlife and other habitat (Bajpaj, 2019).
With an ever-rising population on planet Earth and many illegal developments on logging still being encouraged in different cultures, a major declaration on forests was signed at the UNI Climate Summit in September. In this declaration a joint commitment has been made in order to end global deforestation by 2030 (Bajpaj, 2019). But how exactly can this be done?
This is the point where Big Data and Artificial Intelligence step in! There are multiple initiatives talking the problem of deforestation and trying to restore balance in our ecosystem.
Firstly, World Wildlife (WWF) and TRAFFIC, a wildlife trade specialist tackling global timber exports, have partnered up with data scientists from Virginia Tech University (WWF, 2019). Their goal is to develop a software tool and algorithms using publicly available data to identify suspicious timber exports to fight the greatest cause of deforestation, illegal logging of mainly timber with high value (Brookhouse, 2019).
Next to this, Global Forest Watch (GFW) was created, an online platform combining hundreds of thousands satellite images, high-tech data processing and crowdsourcing to provide near real-time data on forests on Earth (Sizer, Cheung and Anderson, 2014). This technology will serve as an enabler for many companies and organizations to localize harmed area’s and track illegal activities.
A more recent example is 20tree.ai. CEO Den Bakker says:” Our system enables us to gain insight into the impact of deforestation by combining AI and satellite imagery, to gain knowledge at a scale which was previously unattainable.” (Brookhouse, 2019). The forest management system can monitor huge scales of forests whilst providing near real-time intelligence into forest and wood-inventory, so that actionable insights can be established. The ultimate goal of 20tree.ai is to create a world in with a more efficient use of resources and a limited negative impact (Brookhouse, 2019)
All in all, these are great initiatives using high-end technology for a greater cause – climate action. Will these innovations make us reach the goal to end deforestation on a global scale by 2030?
References
Bajpaj, P. (2019) How Big Data Can Help Fight Deforestation, Nasdaq, viewed 17 October 2019, < https://www.nasdaq.com/articles/how-big-data-can-help-fight-deforestation-2019-04-12>.
Brookhouse, O. (2019) Can Big Data help reduce Deforestation in the Amazon, Telefonica, viewed 17 October 2019, < https://business.blogthinkbig.com/can-big-data-help-reduce-deforestation-in-the-amazon/>.
Sizer, N, Cheung, L, and Anderson, J. (2019) Counting trees to save the woods: using big data to map deforestation, The Guardian, viewed 17 October 2019, <https://www.theguardian.com/global-development-professionals-network/2014/oct/02/counting-trees-to-save-the-woods-using-big-data-to-map-deforestation>.
WWF. (2019). Saving Forests with Big Data and Forensics, WWF, viewed 17 October 2019, <https://www.worldwildlife.org/projects/saving-forests-with-big-data-and-forensics>.
https://www.traffic.org/what-we-do/species/timber/