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Mapping Waste Piles and Plastic Pollution using UAV Imagery and Machine Learning

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Mapping Waste Piles and Plastic Pollution using UAV Imagery and Machine Learning
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41
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
This talk presents an ongoing project in Malawi where UAV imagery is being used to support the mapping of plastics and waste piles. The project was done as part of a Master's research study but it contributes to developing tools for understanding the impacts of plastics and waste. Using experiences from the project, the speaker seeks to challenge the audience to think outside the box and explore opportunities to leverage the capacity of the OSM community to support annotation of UAV imagery to enable upscaling of such an innovative approach for monitoring the environment. This talk was presented at State of the Map US 2022. To learn more about State of the Map US 2022, visit https://2022.stateofthemap.us/ Learn more about OpenStreetMap US at https://www.openstreetmap.us/