ACTIVE LAB 11 / 12 October 2023 / 15:00 - 16:30
Organised by:
Yuri Ponzani - Cleannovation (UK), info@recycle2trade.com
Laura Capelli - Politecnico di Milano (IT), laura.capelli@polimi.it
The ESCAPE project aims to develop a new service, a cloud-based online platform, combining space-based and ground datasets, including meteorological data, with AI-based solutions and algorithms for spotting emissions and pollution from landfill and brownfield sites.
ESCAPE builds on the:
The active lab will describe remote sensing and pollutants analysis with low-cost sensors at landfills and waste treatment plants. It will present specific challenges associated with the real-time monitoring of pollutants in the field, mainly focusing on the management of interferences.
Participants will be dealing with selected case studies, illustrating experimental procedures and machine learning methods specifically designed for interference mitigation and their application to real-case scenarios, and they will be challenged with dedicated practicals and hands-on activities involving the application of compensation algorithms to real field data.
Agenda: