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Using Deep Learning Methods for Plastic Litter Detection from Satellite Remote Sensor

Mon, 07/11/2022 - 11:58
Start Date: 
2020
Programme: 
Discovery
End Date: 
2021
Programme Reference: 
20-D-T-TEC-01-g
Country: 
France
Contractor: 
Capgemini
Status: 
Closed
Description: 

For decades humans have been producing plastic materials and this production has never ceased growing to a point that, due to waste mismanagement, a global environmental issue has been generated. One of the most mediatic manifestations of such a pollution is the Great Pacific Garbage Patch (GPGP), an area in the North Pacific ocean with higher density of macro and microplastic representing between three and six times the size of France . Since the American oceanographer Charles Moore discovered the GPGP in 1997, many other entities raised alarms concerning plastic litter in the marine environment as well as on land. The Tara Ocean Foundation has been one of the first to explore world oceans, seas and more recently rivers (European rivers expedition in 2019) to collect, analyse and raise public awareness about the impact of plastic pollution on the marine biosphere. A global ecosystem has been built including citizens, industry, interdisciplinary scientists, national governments, space and environmental agencies to identify several actions to mitigate marine plastic litter pollution.

Application Domain: 
Earth Observation
Technology Domain: 
16 - Optics
Competence Domain: 
5-Radiofrequency & Optical Systems and Products
Keywords: 
Remote Sensing
Marine Litter
plastic litter
Executive summary: