ForestEyes Project: Conception, Enhancements, and Challenges
Fernanda B. J. R. Dallaqua, \'Alvaro Luiz Fazenda, Fabio A. Faria

TL;DR
The ForestEyes project leverages citizen science volunteers to analyze remote sensing images for deforestation monitoring in rainforests, demonstrating scalable data collection and promising accuracy compared to official groundtruth data.
Contribution
This work introduces the ForestEyes citizen science platform for rainforest deforestation monitoring and evaluates its effectiveness against official data sources.
Findings
Over 86,000 volunteer answers collected in short timeframes.
High correlation between citizen science data and official deforestation data.
Effective workflows for remote sensing image analysis using volunteer input.
Abstract
Rainforests play an important role in the global ecosystem. However, significant regions of them are facing deforestation and degradation due to several reasons. Diverse government and private initiatives were created to monitor and alert for deforestation increases from remote sensing images, using different ways to deal with the notable amount of generated data. Citizen Science projects can also be used to reach the same goal. Citizen Science consists of scientific research involving nonprofessional volunteers for analyzing, collecting data, and using their computational resources to outcome advancements in science and to increase the public's understanding of problems in specific knowledge areas such as astronomy, chemistry, mathematics, and physics. In this sense, this work presents a Citizen Science project called ForestEyes, which uses volunteer's answers through the analysis and…
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Taxonomy
TopicsSpecies Distribution and Climate Change · Animal and Plant Science Education · Big Data and Business Intelligence
