CSEOL

HOW ACCURATE IS YOUR DRONE SURVEY?
Fusing Machine Learning and Citizen Science
Aerobotany and Citizen Science
Citizen generated data maps
Autonomous Driving and Citizen Science
Climate Change and Citizen Scientists
What are Citizen Science Cyborgs?
Agriculture from space
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Views from space of our planet from satellite images and data provide scientists and policy makers with the information that can help us all better understand and protect our environment. Applications of this Earth Observation (EO) data include monitoring the air, seas and land; providing weather reports and models; and supplying relief agencies with data before and after disasters strike. Our CSEOL goal is to expand collective impact by exploring how different groups of people – scientists, innovators and civil society – can work creatively with EO data, and also use new technologies (including drones and AI), to identify, address and communicate about the Earth’s complex problems.

…will be to capitalize on the synergistic use of Citizen Science and AI to deliver the most scientific and societal value of the large amount of European EO data sets. Rapid developments in digital technologies, together with our capacity to monitor our home planet with EO satellites, have led to entirely new opportunities for Earth science and applications. There is an increasing need to mine the large amounts of data generated by the new generation of satellites coming online, and in particular Copernicus and Sentinel data. Artificial Intelligence (AI) techniques, such as machine learning and computer vision, are now becoming increasingly important to turn large amount of EO data into relevant information in a dynamic, global and automatic way, thereby providing a comprehensive picture of our planet at the global scale and in real time. Citizen Science and Crowdsourcing can play a key role in making the most of EO data, in particular also by unlocking the power of AI applied to EO in various ways, ranging from generating labelling within training data sets to enabling quality control and pattern recognition within data.

Opening up big sets of data to people with new ideas drives innovation. Entrepreneurs are already making cool tools based on gathering and validating, or combining and reusing data. Decision-makers can use specialised mapping and monitoring tools to help to combat critical challenges facing different countries. Have a look at this video to see what other people are doing.