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Wednesday, September 25 • 11:30am - 12:00pm
ForestEyes Project: Can Citizen Scientists Help Rainforests?

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Fernanda Beatriz Jordan Rojas Dallaqua (ICT/UNIFESP), Álvaro Luiz Fazenda (ICT/UNIFESP), and Fabio Augusto Faria (ICT/UNIFESP)

Scientific projects involving volunteers for analyzing, collecting data and using their own computational resources, known as Citizen Science (CS), have become more popular due to advances related to information and communication technology (ICT). In literature, many CS projects have been proposed to involve citizens in different knowledge domain such as astronomy, chemistry, mathematics, and physics. In this work, a CS project called ForestEyes proposes to track deforestation in rainforests by asking volunteers to analyze and classify remote sensing images. These manually classified data are used as input for training a pattern classifier and thus, it labels new remote sensing images. ForestEyes project was created on the Zooniverse.org CS platform and early campaigns with remote sensing images from Brazilian Legal Amazon (BLA) were performed to attest the quality of the volunteers' responses. The effectiveness results were processed and compared to an oracle classification (PRODES -- Amazon Deforestation Monitoring Project). With 2.5 weeks of launch, 2050 tasks were completed with more than 35,000 answers from 383 volunteers (117 anonymous and 266 registered users). In performed experiments, we show volunteers can achieve excellent effectiveness results in remote sensing image classification task on the ForestEyes project. Furthermore, these results show that CS might be a powerful tool to quickly obtain a large amount of high-quality labeled data.

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Wednesday September 25, 2019 11:30am - 12:00pm
Macaw Room